Amazon SageMaker Service

{'DomainSettings': {'DockerSettings': {'RootlessDocker': 'ENABLED | DISABLED'}}}

Creates a Domain. A domain consists of an associated Amazon Elastic File System volume, a list of authorized users, and a variety of security, application, policy, and Amazon Virtual Private Cloud (VPC) configurations. Users within a domain can share notebook files and other artifacts with each other.

EFS storage

When a domain is created, an EFS volume is created for use by all of the users within the domain. Each user receives a private home directory within the EFS volume for notebooks, Git repositories, and data files.

SageMaker AI uses the Amazon Web Services Key Management Service (Amazon Web Services KMS) to encrypt the EFS volume attached to the domain with an Amazon Web Services managed key by default. For more control, you can specify a customer managed key. For more information, see Protect Data at Rest Using Encryption.

VPC configuration

All traffic between the domain and the Amazon EFS volume is through the specified VPC and subnets. For other traffic, you can specify the AppNetworkAccessType parameter. AppNetworkAccessType corresponds to the network access type that you choose when you onboard to the domain. The following options are available:

• PublicInternetOnly - Non-EFS traffic goes through a VPC managed by Amazon SageMaker AI, which allows internet access. This is the default value.

• VpcOnly - All traffic is through the specified VPC and subnets. Internet access is disabled by default. To allow internet access, you must specify a NAT gateway. When internet access is disabled, you won't be able to run a Amazon SageMaker AI Studio notebook or to train or host models unless your VPC has an interface endpoint to the SageMaker AI API and runtime or a NAT gateway and your security groups allow outbound connections.

For more information, see Connect Amazon SageMaker AI Studio Notebooks to Resources in a VPC.

See also: AWS API Documentation

Request Syntax

client.create_domain(
    DomainName='string',
    AuthMode='SSO'|'IAM',
    DefaultUserSettings={
        'ExecutionRole': 'string',
        'SecurityGroups': [
            'string',
        ],
        'SharingSettings': {
            'NotebookOutputOption': 'Allowed'|'Disabled',
            'S3OutputPath': 'string',
            'S3KmsKeyId': 'string'
        },
        'JupyterServerAppSettings': {
            'DefaultResourceSpec': {
                'SageMakerImageArn': 'string',
                'SageMakerImageVersionArn': 'string',
                'SageMakerImageVersionAlias': 'string',
                'InstanceType': 'system'|'ml.t3.micro'|'ml.t3.small'|'ml.t3.medium'|'ml.t3.large'|'ml.t3.xlarge'|'ml.t3.2xlarge'|'ml.m5.large'|'ml.m5.xlarge'|'ml.m5.2xlarge'|'ml.m5.4xlarge'|'ml.m5.8xlarge'|'ml.m5.12xlarge'|'ml.m5.16xlarge'|'ml.m5.24xlarge'|'ml.m5d.large'|'ml.m5d.xlarge'|'ml.m5d.2xlarge'|'ml.m5d.4xlarge'|'ml.m5d.8xlarge'|'ml.m5d.12xlarge'|'ml.m5d.16xlarge'|'ml.m5d.24xlarge'|'ml.c5.large'|'ml.c5.xlarge'|'ml.c5.2xlarge'|'ml.c5.4xlarge'|'ml.c5.9xlarge'|'ml.c5.12xlarge'|'ml.c5.18xlarge'|'ml.c5.24xlarge'|'ml.p3.2xlarge'|'ml.p3.8xlarge'|'ml.p3.16xlarge'|'ml.p3dn.24xlarge'|'ml.g4dn.xlarge'|'ml.g4dn.2xlarge'|'ml.g4dn.4xlarge'|'ml.g4dn.8xlarge'|'ml.g4dn.12xlarge'|'ml.g4dn.16xlarge'|'ml.r5.large'|'ml.r5.xlarge'|'ml.r5.2xlarge'|'ml.r5.4xlarge'|'ml.r5.8xlarge'|'ml.r5.12xlarge'|'ml.r5.16xlarge'|'ml.r5.24xlarge'|'ml.g5.xlarge'|'ml.g5.2xlarge'|'ml.g5.4xlarge'|'ml.g5.8xlarge'|'ml.g5.16xlarge'|'ml.g5.12xlarge'|'ml.g5.24xlarge'|'ml.g5.48xlarge'|'ml.g6.xlarge'|'ml.g6.2xlarge'|'ml.g6.4xlarge'|'ml.g6.8xlarge'|'ml.g6.12xlarge'|'ml.g6.16xlarge'|'ml.g6.24xlarge'|'ml.g6.48xlarge'|'ml.g6e.xlarge'|'ml.g6e.2xlarge'|'ml.g6e.4xlarge'|'ml.g6e.8xlarge'|'ml.g6e.12xlarge'|'ml.g6e.16xlarge'|'ml.g6e.24xlarge'|'ml.g6e.48xlarge'|'ml.geospatial.interactive'|'ml.p4d.24xlarge'|'ml.p4de.24xlarge'|'ml.trn1.2xlarge'|'ml.trn1.32xlarge'|'ml.trn1n.32xlarge'|'ml.p5.48xlarge'|'ml.p5en.48xlarge'|'ml.m6i.large'|'ml.m6i.xlarge'|'ml.m6i.2xlarge'|'ml.m6i.4xlarge'|'ml.m6i.8xlarge'|'ml.m6i.12xlarge'|'ml.m6i.16xlarge'|'ml.m6i.24xlarge'|'ml.m6i.32xlarge'|'ml.m7i.large'|'ml.m7i.xlarge'|'ml.m7i.2xlarge'|'ml.m7i.4xlarge'|'ml.m7i.8xlarge'|'ml.m7i.12xlarge'|'ml.m7i.16xlarge'|'ml.m7i.24xlarge'|'ml.m7i.48xlarge'|'ml.c6i.large'|'ml.c6i.xlarge'|'ml.c6i.2xlarge'|'ml.c6i.4xlarge'|'ml.c6i.8xlarge'|'ml.c6i.12xlarge'|'ml.c6i.16xlarge'|'ml.c6i.24xlarge'|'ml.c6i.32xlarge'|'ml.c7i.large'|'ml.c7i.xlarge'|'ml.c7i.2xlarge'|'ml.c7i.4xlarge'|'ml.c7i.8xlarge'|'ml.c7i.12xlarge'|'ml.c7i.16xlarge'|'ml.c7i.24xlarge'|'ml.c7i.48xlarge'|'ml.r6i.large'|'ml.r6i.xlarge'|'ml.r6i.2xlarge'|'ml.r6i.4xlarge'|'ml.r6i.8xlarge'|'ml.r6i.12xlarge'|'ml.r6i.16xlarge'|'ml.r6i.24xlarge'|'ml.r6i.32xlarge'|'ml.r7i.large'|'ml.r7i.xlarge'|'ml.r7i.2xlarge'|'ml.r7i.4xlarge'|'ml.r7i.8xlarge'|'ml.r7i.12xlarge'|'ml.r7i.16xlarge'|'ml.r7i.24xlarge'|'ml.r7i.48xlarge'|'ml.m6id.large'|'ml.m6id.xlarge'|'ml.m6id.2xlarge'|'ml.m6id.4xlarge'|'ml.m6id.8xlarge'|'ml.m6id.12xlarge'|'ml.m6id.16xlarge'|'ml.m6id.24xlarge'|'ml.m6id.32xlarge'|'ml.c6id.large'|'ml.c6id.xlarge'|'ml.c6id.2xlarge'|'ml.c6id.4xlarge'|'ml.c6id.8xlarge'|'ml.c6id.12xlarge'|'ml.c6id.16xlarge'|'ml.c6id.24xlarge'|'ml.c6id.32xlarge'|'ml.r6id.large'|'ml.r6id.xlarge'|'ml.r6id.2xlarge'|'ml.r6id.4xlarge'|'ml.r6id.8xlarge'|'ml.r6id.12xlarge'|'ml.r6id.16xlarge'|'ml.r6id.24xlarge'|'ml.r6id.32xlarge',
                'LifecycleConfigArn': 'string'
            },
            'LifecycleConfigArns': [
                'string',
            ],
            'CodeRepositories': [
                {
                    'RepositoryUrl': 'string'
                },
            ]
        },
        'KernelGatewayAppSettings': {
            'DefaultResourceSpec': {
                'SageMakerImageArn': 'string',
                'SageMakerImageVersionArn': 'string',
                'SageMakerImageVersionAlias': 'string',
                'InstanceType': 'system'|'ml.t3.micro'|'ml.t3.small'|'ml.t3.medium'|'ml.t3.large'|'ml.t3.xlarge'|'ml.t3.2xlarge'|'ml.m5.large'|'ml.m5.xlarge'|'ml.m5.2xlarge'|'ml.m5.4xlarge'|'ml.m5.8xlarge'|'ml.m5.12xlarge'|'ml.m5.16xlarge'|'ml.m5.24xlarge'|'ml.m5d.large'|'ml.m5d.xlarge'|'ml.m5d.2xlarge'|'ml.m5d.4xlarge'|'ml.m5d.8xlarge'|'ml.m5d.12xlarge'|'ml.m5d.16xlarge'|'ml.m5d.24xlarge'|'ml.c5.large'|'ml.c5.xlarge'|'ml.c5.2xlarge'|'ml.c5.4xlarge'|'ml.c5.9xlarge'|'ml.c5.12xlarge'|'ml.c5.18xlarge'|'ml.c5.24xlarge'|'ml.p3.2xlarge'|'ml.p3.8xlarge'|'ml.p3.16xlarge'|'ml.p3dn.24xlarge'|'ml.g4dn.xlarge'|'ml.g4dn.2xlarge'|'ml.g4dn.4xlarge'|'ml.g4dn.8xlarge'|'ml.g4dn.12xlarge'|'ml.g4dn.16xlarge'|'ml.r5.large'|'ml.r5.xlarge'|'ml.r5.2xlarge'|'ml.r5.4xlarge'|'ml.r5.8xlarge'|'ml.r5.12xlarge'|'ml.r5.16xlarge'|'ml.r5.24xlarge'|'ml.g5.xlarge'|'ml.g5.2xlarge'|'ml.g5.4xlarge'|'ml.g5.8xlarge'|'ml.g5.16xlarge'|'ml.g5.12xlarge'|'ml.g5.24xlarge'|'ml.g5.48xlarge'|'ml.g6.xlarge'|'ml.g6.2xlarge'|'ml.g6.4xlarge'|'ml.g6.8xlarge'|'ml.g6.12xlarge'|'ml.g6.16xlarge'|'ml.g6.24xlarge'|'ml.g6.48xlarge'|'ml.g6e.xlarge'|'ml.g6e.2xlarge'|'ml.g6e.4xlarge'|'ml.g6e.8xlarge'|'ml.g6e.12xlarge'|'ml.g6e.16xlarge'|'ml.g6e.24xlarge'|'ml.g6e.48xlarge'|'ml.geospatial.interactive'|'ml.p4d.24xlarge'|'ml.p4de.24xlarge'|'ml.trn1.2xlarge'|'ml.trn1.32xlarge'|'ml.trn1n.32xlarge'|'ml.p5.48xlarge'|'ml.p5en.48xlarge'|'ml.m6i.large'|'ml.m6i.xlarge'|'ml.m6i.2xlarge'|'ml.m6i.4xlarge'|'ml.m6i.8xlarge'|'ml.m6i.12xlarge'|'ml.m6i.16xlarge'|'ml.m6i.24xlarge'|'ml.m6i.32xlarge'|'ml.m7i.large'|'ml.m7i.xlarge'|'ml.m7i.2xlarge'|'ml.m7i.4xlarge'|'ml.m7i.8xlarge'|'ml.m7i.12xlarge'|'ml.m7i.16xlarge'|'ml.m7i.24xlarge'|'ml.m7i.48xlarge'|'ml.c6i.large'|'ml.c6i.xlarge'|'ml.c6i.2xlarge'|'ml.c6i.4xlarge'|'ml.c6i.8xlarge'|'ml.c6i.12xlarge'|'ml.c6i.16xlarge'|'ml.c6i.24xlarge'|'ml.c6i.32xlarge'|'ml.c7i.large'|'ml.c7i.xlarge'|'ml.c7i.2xlarge'|'ml.c7i.4xlarge'|'ml.c7i.8xlarge'|'ml.c7i.12xlarge'|'ml.c7i.16xlarge'|'ml.c7i.24xlarge'|'ml.c7i.48xlarge'|'ml.r6i.large'|'ml.r6i.xlarge'|'ml.r6i.2xlarge'|'ml.r6i.4xlarge'|'ml.r6i.8xlarge'|'ml.r6i.12xlarge'|'ml.r6i.16xlarge'|'ml.r6i.24xlarge'|'ml.r6i.32xlarge'|'ml.r7i.large'|'ml.r7i.xlarge'|'ml.r7i.2xlarge'|'ml.r7i.4xlarge'|'ml.r7i.8xlarge'|'ml.r7i.12xlarge'|'ml.r7i.16xlarge'|'ml.r7i.24xlarge'|'ml.r7i.48xlarge'|'ml.m6id.large'|'ml.m6id.xlarge'|'ml.m6id.2xlarge'|'ml.m6id.4xlarge'|'ml.m6id.8xlarge'|'ml.m6id.12xlarge'|'ml.m6id.16xlarge'|'ml.m6id.24xlarge'|'ml.m6id.32xlarge'|'ml.c6id.large'|'ml.c6id.xlarge'|'ml.c6id.2xlarge'|'ml.c6id.4xlarge'|'ml.c6id.8xlarge'|'ml.c6id.12xlarge'|'ml.c6id.16xlarge'|'ml.c6id.24xlarge'|'ml.c6id.32xlarge'|'ml.r6id.large'|'ml.r6id.xlarge'|'ml.r6id.2xlarge'|'ml.r6id.4xlarge'|'ml.r6id.8xlarge'|'ml.r6id.12xlarge'|'ml.r6id.16xlarge'|'ml.r6id.24xlarge'|'ml.r6id.32xlarge',
                'LifecycleConfigArn': 'string'
            },
            'CustomImages': [
                {
                    'ImageName': 'string',
                    'ImageVersionNumber': 123,
                    'AppImageConfigName': 'string'
                },
            ],
            'LifecycleConfigArns': [
                'string',
            ]
        },
        'TensorBoardAppSettings': {
            'DefaultResourceSpec': {
                'SageMakerImageArn': 'string',
                'SageMakerImageVersionArn': 'string',
                'SageMakerImageVersionAlias': 'string',
                'InstanceType': 'system'|'ml.t3.micro'|'ml.t3.small'|'ml.t3.medium'|'ml.t3.large'|'ml.t3.xlarge'|'ml.t3.2xlarge'|'ml.m5.large'|'ml.m5.xlarge'|'ml.m5.2xlarge'|'ml.m5.4xlarge'|'ml.m5.8xlarge'|'ml.m5.12xlarge'|'ml.m5.16xlarge'|'ml.m5.24xlarge'|'ml.m5d.large'|'ml.m5d.xlarge'|'ml.m5d.2xlarge'|'ml.m5d.4xlarge'|'ml.m5d.8xlarge'|'ml.m5d.12xlarge'|'ml.m5d.16xlarge'|'ml.m5d.24xlarge'|'ml.c5.large'|'ml.c5.xlarge'|'ml.c5.2xlarge'|'ml.c5.4xlarge'|'ml.c5.9xlarge'|'ml.c5.12xlarge'|'ml.c5.18xlarge'|'ml.c5.24xlarge'|'ml.p3.2xlarge'|'ml.p3.8xlarge'|'ml.p3.16xlarge'|'ml.p3dn.24xlarge'|'ml.g4dn.xlarge'|'ml.g4dn.2xlarge'|'ml.g4dn.4xlarge'|'ml.g4dn.8xlarge'|'ml.g4dn.12xlarge'|'ml.g4dn.16xlarge'|'ml.r5.large'|'ml.r5.xlarge'|'ml.r5.2xlarge'|'ml.r5.4xlarge'|'ml.r5.8xlarge'|'ml.r5.12xlarge'|'ml.r5.16xlarge'|'ml.r5.24xlarge'|'ml.g5.xlarge'|'ml.g5.2xlarge'|'ml.g5.4xlarge'|'ml.g5.8xlarge'|'ml.g5.16xlarge'|'ml.g5.12xlarge'|'ml.g5.24xlarge'|'ml.g5.48xlarge'|'ml.g6.xlarge'|'ml.g6.2xlarge'|'ml.g6.4xlarge'|'ml.g6.8xlarge'|'ml.g6.12xlarge'|'ml.g6.16xlarge'|'ml.g6.24xlarge'|'ml.g6.48xlarge'|'ml.g6e.xlarge'|'ml.g6e.2xlarge'|'ml.g6e.4xlarge'|'ml.g6e.8xlarge'|'ml.g6e.12xlarge'|'ml.g6e.16xlarge'|'ml.g6e.24xlarge'|'ml.g6e.48xlarge'|'ml.geospatial.interactive'|'ml.p4d.24xlarge'|'ml.p4de.24xlarge'|'ml.trn1.2xlarge'|'ml.trn1.32xlarge'|'ml.trn1n.32xlarge'|'ml.p5.48xlarge'|'ml.p5en.48xlarge'|'ml.m6i.large'|'ml.m6i.xlarge'|'ml.m6i.2xlarge'|'ml.m6i.4xlarge'|'ml.m6i.8xlarge'|'ml.m6i.12xlarge'|'ml.m6i.16xlarge'|'ml.m6i.24xlarge'|'ml.m6i.32xlarge'|'ml.m7i.large'|'ml.m7i.xlarge'|'ml.m7i.2xlarge'|'ml.m7i.4xlarge'|'ml.m7i.8xlarge'|'ml.m7i.12xlarge'|'ml.m7i.16xlarge'|'ml.m7i.24xlarge'|'ml.m7i.48xlarge'|'ml.c6i.large'|'ml.c6i.xlarge'|'ml.c6i.2xlarge'|'ml.c6i.4xlarge'|'ml.c6i.8xlarge'|'ml.c6i.12xlarge'|'ml.c6i.16xlarge'|'ml.c6i.24xlarge'|'ml.c6i.32xlarge'|'ml.c7i.large'|'ml.c7i.xlarge'|'ml.c7i.2xlarge'|'ml.c7i.4xlarge'|'ml.c7i.8xlarge'|'ml.c7i.12xlarge'|'ml.c7i.16xlarge'|'ml.c7i.24xlarge'|'ml.c7i.48xlarge'|'ml.r6i.large'|'ml.r6i.xlarge'|'ml.r6i.2xlarge'|'ml.r6i.4xlarge'|'ml.r6i.8xlarge'|'ml.r6i.12xlarge'|'ml.r6i.16xlarge'|'ml.r6i.24xlarge'|'ml.r6i.32xlarge'|'ml.r7i.large'|'ml.r7i.xlarge'|'ml.r7i.2xlarge'|'ml.r7i.4xlarge'|'ml.r7i.8xlarge'|'ml.r7i.12xlarge'|'ml.r7i.16xlarge'|'ml.r7i.24xlarge'|'ml.r7i.48xlarge'|'ml.m6id.large'|'ml.m6id.xlarge'|'ml.m6id.2xlarge'|'ml.m6id.4xlarge'|'ml.m6id.8xlarge'|'ml.m6id.12xlarge'|'ml.m6id.16xlarge'|'ml.m6id.24xlarge'|'ml.m6id.32xlarge'|'ml.c6id.large'|'ml.c6id.xlarge'|'ml.c6id.2xlarge'|'ml.c6id.4xlarge'|'ml.c6id.8xlarge'|'ml.c6id.12xlarge'|'ml.c6id.16xlarge'|'ml.c6id.24xlarge'|'ml.c6id.32xlarge'|'ml.r6id.large'|'ml.r6id.xlarge'|'ml.r6id.2xlarge'|'ml.r6id.4xlarge'|'ml.r6id.8xlarge'|'ml.r6id.12xlarge'|'ml.r6id.16xlarge'|'ml.r6id.24xlarge'|'ml.r6id.32xlarge',
                'LifecycleConfigArn': 'string'
            }
        },
        'RStudioServerProAppSettings': {
            'AccessStatus': 'ENABLED'|'DISABLED',
            'UserGroup': 'R_STUDIO_ADMIN'|'R_STUDIO_USER'
        },
        'RSessionAppSettings': {
            'DefaultResourceSpec': {
                'SageMakerImageArn': 'string',
                'SageMakerImageVersionArn': 'string',
                'SageMakerImageVersionAlias': 'string',
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                'system'|'ml.t3.micro'|'ml.t3.small'|'ml.t3.medium'|'ml.t3.large'|'ml.t3.xlarge'|'ml.t3.2xlarge'|'ml.m5.large'|'ml.m5.xlarge'|'ml.m5.2xlarge'|'ml.m5.4xlarge'|'ml.m5.8xlarge'|'ml.m5.12xlarge'|'ml.m5.16xlarge'|'ml.m5.24xlarge'|'ml.m5d.large'|'ml.m5d.xlarge'|'ml.m5d.2xlarge'|'ml.m5d.4xlarge'|'ml.m5d.8xlarge'|'ml.m5d.12xlarge'|'ml.m5d.16xlarge'|'ml.m5d.24xlarge'|'ml.c5.large'|'ml.c5.xlarge'|'ml.c5.2xlarge'|'ml.c5.4xlarge'|'ml.c5.9xlarge'|'ml.c5.12xlarge'|'ml.c5.18xlarge'|'ml.c5.24xlarge'|'ml.p3.2xlarge'|'ml.p3.8xlarge'|'ml.p3.16xlarge'|'ml.p3dn.24xlarge'|'ml.g4dn.xlarge'|'ml.g4dn.2xlarge'|'ml.g4dn.4xlarge'|'ml.g4dn.8xlarge'|'ml.g4dn.12xlarge'|'ml.g4dn.16xlarge'|'ml.r5.large'|'ml.r5.xlarge'|'ml.r5.2xlarge'|'ml.r5.4xlarge'|'ml.r5.8xlarge'|'ml.r5.12xlarge'|'ml.r5.16xlarge'|'ml.r5.24xlarge'|'ml.g5.xlarge'|'ml.g5.2xlarge'|'ml.g5.4xlarge'|'ml.g5.8xlarge'|'ml.g5.16xlarge'|'ml.g5.12xlarge'|'ml.g5.24xlarge'|'ml.g5.48xlarge'|'ml.g6.xlarge'|'ml.g6.2xlarge'|'ml.g6.4xlarge'|'ml.g6.8xlarge'|'ml.g6.12xlarge'|'ml.g6.16xlarge'|'ml.g6.24xlarge'|'ml.g6.48xlarge'|'ml.g6e.xlarge'|'ml.g6e.2xlarge'|'ml.g6e.4xlarge'|'ml.g6e.8xlarge'|'ml.g6e.12xlarge'|'ml.g6e.16xlarge'|'ml.g6e.24xlarge'|'ml.g6e.48xlarge'|'ml.geospatial.interactive'|'ml.p4d.24xlarge'|'ml.p4de.24xlarge'|'ml.trn1.2xlarge'|'ml.trn1.32xlarge'|'ml.trn1n.32xlarge'|'ml.p5.48xlarge'|'ml.p5en.48xlarge'|'ml.m6i.large'|'ml.m6i.xlarge'|'ml.m6i.2xlarge'|'ml.m6i.4xlarge'|'ml.m6i.8xlarge'|'ml.m6i.12xlarge'|'ml.m6i.16xlarge'|'ml.m6i.24xlarge'|'ml.m6i.32xlarge'|'ml.m7i.large'|'ml.m7i.xlarge'|'ml.m7i.2xlarge'|'ml.m7i.4xlarge'|'ml.m7i.8xlarge'|'ml.m7i.12xlarge'|'ml.m7i.16xlarge'|'ml.m7i.24xlarge'|'ml.m7i.48xlarge'|'ml.c6i.large'|'ml.c6i.xlarge'|'ml.c6i.2xlarge'|'ml.c6i.4xlarge'|'ml.c6i.8xlarge'|'ml.c6i.12xlarge'|'ml.c6i.16xlarge'|'ml.c6i.24xlarge'|'ml.c6i.32xlarge'|'ml.c7i.large'|'ml.c7i.xlarge'|'ml.c7i.2xlarge'|'ml.c7i.4xlarge'|'ml.c7i.8xlarge'|'ml.c7i.12xlarge'|'ml.c7i.16xlarge'|'ml.c7i.24xlarge'|'ml.c7i.48xlarge'|'ml.r6i.large'|'ml.r6i.xlarge'|'ml.r6i.2xlarge'|'ml.r6i.4xlarge'|'ml.r6i.8xlarge'|'ml.r6i.12xlarge'|'ml.r6i.16xlarge'|'ml.r6i.24xlarge'|'ml.r6i.32xlarge'|'ml.r7i.large'|'ml.r7i.xlarge'|'ml.r7i.2xlarge'|'ml.r7i.4xlarge'|'ml.r7i.8xlarge'|'ml.r7i.12xlarge'|'ml.r7i.16xlarge'|'ml.r7i.24xlarge'|'ml.r7i.48xlarge'|'ml.m6id.large'|'ml.m6id.xlarge'|'ml.m6id.2xlarge'|'ml.m6id.4xlarge'|'ml.m6id.8xlarge'|'ml.m6id.12xlarge'|'ml.m6id.16xlarge'|'ml.m6id.24xlarge'|'ml.m6id.32xlarge'|'ml.c6id.large'|'ml.c6id.xlarge'|'ml.c6id.2xlarge'|'ml.c6id.4xlarge'|'ml.c6id.8xlarge'|'ml.c6id.12xlarge'|'ml.c6id.16xlarge'|'ml.c6id.24xlarge'|'ml.c6id.32xlarge'|'ml.r6id.large'|'ml.r6id.xlarge'|'ml.r6id.2xlarge'|'ml.r6id.4xlarge'|'ml.r6id.8xlarge'|'ml.r6id.12xlarge'|'ml.r6id.16xlarge'|'ml.r6id.24xlarge'|'ml.r6id.32xlarge',
            ],
            'HiddenSageMakerImageVersionAliases': [
                {
                    'SageMakerImageName': 'sagemaker_distribution',
                    'VersionAliases': [
                        'string',
                    ]
                },
            ]
        },
        'AutoMountHomeEFS': 'Enabled'|'Disabled'|'DefaultAsDomain'
    },
    DomainSettings={
        'SecurityGroupIds': [
            'string',
        ],
        'RStudioServerProDomainSettings': {
            'DomainExecutionRoleArn': 'string',
            'RStudioConnectUrl': 'string',
            'RStudioPackageManagerUrl': 'string',
            'DefaultResourceSpec': {
                'SageMakerImageArn': 'string',
                'SageMakerImageVersionArn': 'string',
                'SageMakerImageVersionAlias': 'string',
                'InstanceType': 'system'|'ml.t3.micro'|'ml.t3.small'|'ml.t3.medium'|'ml.t3.large'|'ml.t3.xlarge'|'ml.t3.2xlarge'|'ml.m5.large'|'ml.m5.xlarge'|'ml.m5.2xlarge'|'ml.m5.4xlarge'|'ml.m5.8xlarge'|'ml.m5.12xlarge'|'ml.m5.16xlarge'|'ml.m5.24xlarge'|'ml.m5d.large'|'ml.m5d.xlarge'|'ml.m5d.2xlarge'|'ml.m5d.4xlarge'|'ml.m5d.8xlarge'|'ml.m5d.12xlarge'|'ml.m5d.16xlarge'|'ml.m5d.24xlarge'|'ml.c5.large'|'ml.c5.xlarge'|'ml.c5.2xlarge'|'ml.c5.4xlarge'|'ml.c5.9xlarge'|'ml.c5.12xlarge'|'ml.c5.18xlarge'|'ml.c5.24xlarge'|'ml.p3.2xlarge'|'ml.p3.8xlarge'|'ml.p3.16xlarge'|'ml.p3dn.24xlarge'|'ml.g4dn.xlarge'|'ml.g4dn.2xlarge'|'ml.g4dn.4xlarge'|'ml.g4dn.8xlarge'|'ml.g4dn.12xlarge'|'ml.g4dn.16xlarge'|'ml.r5.large'|'ml.r5.xlarge'|'ml.r5.2xlarge'|'ml.r5.4xlarge'|'ml.r5.8xlarge'|'ml.r5.12xlarge'|'ml.r5.16xlarge'|'ml.r5.24xlarge'|'ml.g5.xlarge'|'ml.g5.2xlarge'|'ml.g5.4xlarge'|'ml.g5.8xlarge'|'ml.g5.16xlarge'|'ml.g5.12xlarge'|'ml.g5.24xlarge'|'ml.g5.48xlarge'|'ml.g6.xlarge'|'ml.g6.2xlarge'|'ml.g6.4xlarge'|'ml.g6.8xlarge'|'ml.g6.12xlarge'|'ml.g6.16xlarge'|'ml.g6.24xlarge'|'ml.g6.48xlarge'|'ml.g6e.xlarge'|'ml.g6e.2xlarge'|'ml.g6e.4xlarge'|'ml.g6e.8xlarge'|'ml.g6e.12xlarge'|'ml.g6e.16xlarge'|'ml.g6e.24xlarge'|'ml.g6e.48xlarge'|'ml.geospatial.interactive'|'ml.p4d.24xlarge'|'ml.p4de.24xlarge'|'ml.trn1.2xlarge'|'ml.trn1.32xlarge'|'ml.trn1n.32xlarge'|'ml.p5.48xlarge'|'ml.p5en.48xlarge'|'ml.m6i.large'|'ml.m6i.xlarge'|'ml.m6i.2xlarge'|'ml.m6i.4xlarge'|'ml.m6i.8xlarge'|'ml.m6i.12xlarge'|'ml.m6i.16xlarge'|'ml.m6i.24xlarge'|'ml.m6i.32xlarge'|'ml.m7i.large'|'ml.m7i.xlarge'|'ml.m7i.2xlarge'|'ml.m7i.4xlarge'|'ml.m7i.8xlarge'|'ml.m7i.12xlarge'|'ml.m7i.16xlarge'|'ml.m7i.24xlarge'|'ml.m7i.48xlarge'|'ml.c6i.large'|'ml.c6i.xlarge'|'ml.c6i.2xlarge'|'ml.c6i.4xlarge'|'ml.c6i.8xlarge'|'ml.c6i.12xlarge'|'ml.c6i.16xlarge'|'ml.c6i.24xlarge'|'ml.c6i.32xlarge'|'ml.c7i.large'|'ml.c7i.xlarge'|'ml.c7i.2xlarge'|'ml.c7i.4xlarge'|'ml.c7i.8xlarge'|'ml.c7i.12xlarge'|'ml.c7i.16xlarge'|'ml.c7i.24xlarge'|'ml.c7i.48xlarge'|'ml.r6i.large'|'ml.r6i.xlarge'|'ml.r6i.2xlarge'|'ml.r6i.4xlarge'|'ml.r6i.8xlarge'|'ml.r6i.12xlarge'|'ml.r6i.16xlarge'|'ml.r6i.24xlarge'|'ml.r6i.32xlarge'|'ml.r7i.large'|'ml.r7i.xlarge'|'ml.r7i.2xlarge'|'ml.r7i.4xlarge'|'ml.r7i.8xlarge'|'ml.r7i.12xlarge'|'ml.r7i.16xlarge'|'ml.r7i.24xlarge'|'ml.r7i.48xlarge'|'ml.m6id.large'|'ml.m6id.xlarge'|'ml.m6id.2xlarge'|'ml.m6id.4xlarge'|'ml.m6id.8xlarge'|'ml.m6id.12xlarge'|'ml.m6id.16xlarge'|'ml.m6id.24xlarge'|'ml.m6id.32xlarge'|'ml.c6id.large'|'ml.c6id.xlarge'|'ml.c6id.2xlarge'|'ml.c6id.4xlarge'|'ml.c6id.8xlarge'|'ml.c6id.12xlarge'|'ml.c6id.16xlarge'|'ml.c6id.24xlarge'|'ml.c6id.32xlarge'|'ml.r6id.large'|'ml.r6id.xlarge'|'ml.r6id.2xlarge'|'ml.r6id.4xlarge'|'ml.r6id.8xlarge'|'ml.r6id.12xlarge'|'ml.r6id.16xlarge'|'ml.r6id.24xlarge'|'ml.r6id.32xlarge',
                'LifecycleConfigArn': 'string'
            }
        },
        'ExecutionRoleIdentityConfig': 'USER_PROFILE_NAME'|'DISABLED',
        'TrustedIdentityPropagationSettings': {
            'Status': 'ENABLED'|'DISABLED'
        },
        'DockerSettings': {
            'EnableDockerAccess': 'ENABLED'|'DISABLED',
            'VpcOnlyTrustedAccounts': [
                'string',
            ],
            'RootlessDocker': 'ENABLED'|'DISABLED'
        },
        'AmazonQSettings': {
            'Status': 'ENABLED'|'DISABLED',
            'QProfileArn': 'string'
        },
        'UnifiedStudioSettings': {
            'StudioWebPortalAccess': 'ENABLED'|'DISABLED',
            'DomainAccountId': 'string',
            'DomainRegion': 'string',
            'DomainId': 'string',
            'ProjectId': 'string',
            'EnvironmentId': 'string',
            'ProjectS3Path': 'string',
            'SingleSignOnApplicationArn': 'string'
        }
    },
    SubnetIds=[
        'string',
    ],
    VpcId='string',
    Tags=[
        {
            'Key': 'string',
            'Value': 'string'
        },
    ],
    AppNetworkAccessType='PublicInternetOnly'|'VpcOnly',
    HomeEfsFileSystemKmsKeyId='string',
    KmsKeyId='string',
    AppSecurityGroupManagement='Service'|'Customer',
    TagPropagation='ENABLED'|'DISABLED',
    DefaultSpaceSettings={
        'ExecutionRole': 'string',
        'SecurityGroups': [
            'string',
        ],
        'JupyterServerAppSettings': {
            'DefaultResourceSpec': {
                'SageMakerImageArn': 'string',
                'SageMakerImageVersionArn': 'string',
                'SageMakerImageVersionAlias': 'string',
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                'LifecycleConfigArn': 'string'
            },
            'LifecycleConfigArns': [
                'string',
            ],
            'CodeRepositories': [
                {
                    'RepositoryUrl': 'string'
                },
            ]
        },
        'KernelGatewayAppSettings': {
            'DefaultResourceSpec': {
                'SageMakerImageArn': 'string',
                'SageMakerImageVersionArn': 'string',
                'SageMakerImageVersionAlias': 'string',
                'InstanceType': 'system'|'ml.t3.micro'|'ml.t3.small'|'ml.t3.medium'|'ml.t3.large'|'ml.t3.xlarge'|'ml.t3.2xlarge'|'ml.m5.large'|'ml.m5.xlarge'|'ml.m5.2xlarge'|'ml.m5.4xlarge'|'ml.m5.8xlarge'|'ml.m5.12xlarge'|'ml.m5.16xlarge'|'ml.m5.24xlarge'|'ml.m5d.large'|'ml.m5d.xlarge'|'ml.m5d.2xlarge'|'ml.m5d.4xlarge'|'ml.m5d.8xlarge'|'ml.m5d.12xlarge'|'ml.m5d.16xlarge'|'ml.m5d.24xlarge'|'ml.c5.large'|'ml.c5.xlarge'|'ml.c5.2xlarge'|'ml.c5.4xlarge'|'ml.c5.9xlarge'|'ml.c5.12xlarge'|'ml.c5.18xlarge'|'ml.c5.24xlarge'|'ml.p3.2xlarge'|'ml.p3.8xlarge'|'ml.p3.16xlarge'|'ml.p3dn.24xlarge'|'ml.g4dn.xlarge'|'ml.g4dn.2xlarge'|'ml.g4dn.4xlarge'|'ml.g4dn.8xlarge'|'ml.g4dn.12xlarge'|'ml.g4dn.16xlarge'|'ml.r5.large'|'ml.r5.xlarge'|'ml.r5.2xlarge'|'ml.r5.4xlarge'|'ml.r5.8xlarge'|'ml.r5.12xlarge'|'ml.r5.16xlarge'|'ml.r5.24xlarge'|'ml.g5.xlarge'|'ml.g5.2xlarge'|'ml.g5.4xlarge'|'ml.g5.8xlarge'|'ml.g5.16xlarge'|'ml.g5.12xlarge'|'ml.g5.24xlarge'|'ml.g5.48xlarge'|'ml.g6.xlarge'|'ml.g6.2xlarge'|'ml.g6.4xlarge'|'ml.g6.8xlarge'|'ml.g6.12xlarge'|'ml.g6.16xlarge'|'ml.g6.24xlarge'|'ml.g6.48xlarge'|'ml.g6e.xlarge'|'ml.g6e.2xlarge'|'ml.g6e.4xlarge'|'ml.g6e.8xlarge'|'ml.g6e.12xlarge'|'ml.g6e.16xlarge'|'ml.g6e.24xlarge'|'ml.g6e.48xlarge'|'ml.geospatial.interactive'|'ml.p4d.24xlarge'|'ml.p4de.24xlarge'|'ml.trn1.2xlarge'|'ml.trn1.32xlarge'|'ml.trn1n.32xlarge'|'ml.p5.48xlarge'|'ml.p5en.48xlarge'|'ml.m6i.large'|'ml.m6i.xlarge'|'ml.m6i.2xlarge'|'ml.m6i.4xlarge'|'ml.m6i.8xlarge'|'ml.m6i.12xlarge'|'ml.m6i.16xlarge'|'ml.m6i.24xlarge'|'ml.m6i.32xlarge'|'ml.m7i.large'|'ml.m7i.xlarge'|'ml.m7i.2xlarge'|'ml.m7i.4xlarge'|'ml.m7i.8xlarge'|'ml.m7i.12xlarge'|'ml.m7i.16xlarge'|'ml.m7i.24xlarge'|'ml.m7i.48xlarge'|'ml.c6i.large'|'ml.c6i.xlarge'|'ml.c6i.2xlarge'|'ml.c6i.4xlarge'|'ml.c6i.8xlarge'|'ml.c6i.12xlarge'|'ml.c6i.16xlarge'|'ml.c6i.24xlarge'|'ml.c6i.32xlarge'|'ml.c7i.large'|'ml.c7i.xlarge'|'ml.c7i.2xlarge'|'ml.c7i.4xlarge'|'ml.c7i.8xlarge'|'ml.c7i.12xlarge'|'ml.c7i.16xlarge'|'ml.c7i.24xlarge'|'ml.c7i.48xlarge'|'ml.r6i.large'|'ml.r6i.xlarge'|'ml.r6i.2xlarge'|'ml.r6i.4xlarge'|'ml.r6i.8xlarge'|'ml.r6i.12xlarge'|'ml.r6i.16xlarge'|'ml.r6i.24xlarge'|'ml.r6i.32xlarge'|'ml.r7i.large'|'ml.r7i.xlarge'|'ml.r7i.2xlarge'|'ml.r7i.4xlarge'|'ml.r7i.8xlarge'|'ml.r7i.12xlarge'|'ml.r7i.16xlarge'|'ml.r7i.24xlarge'|'ml.r7i.48xlarge'|'ml.m6id.large'|'ml.m6id.xlarge'|'ml.m6id.2xlarge'|'ml.m6id.4xlarge'|'ml.m6id.8xlarge'|'ml.m6id.12xlarge'|'ml.m6id.16xlarge'|'ml.m6id.24xlarge'|'ml.m6id.32xlarge'|'ml.c6id.large'|'ml.c6id.xlarge'|'ml.c6id.2xlarge'|'ml.c6id.4xlarge'|'ml.c6id.8xlarge'|'ml.c6id.12xlarge'|'ml.c6id.16xlarge'|'ml.c6id.24xlarge'|'ml.c6id.32xlarge'|'ml.r6id.large'|'ml.r6id.xlarge'|'ml.r6id.2xlarge'|'ml.r6id.4xlarge'|'ml.r6id.8xlarge'|'ml.r6id.12xlarge'|'ml.r6id.16xlarge'|'ml.r6id.24xlarge'|'ml.r6id.32xlarge',
                'LifecycleConfigArn': 'string'
            },
            'CustomImages': [
                {
                    'ImageName': 'string',
                    'ImageVersionNumber': 123,
                    'AppImageConfigName': 'string'
                },
            ],
            'LifecycleConfigArns': [
                'string',
            ]
        },
        'JupyterLabAppSettings': {
            'DefaultResourceSpec': {
                'SageMakerImageArn': 'string',
                'SageMakerImageVersionArn': 'string',
                'SageMakerImageVersionAlias': 'string',
                'InstanceType': 'system'|'ml.t3.micro'|'ml.t3.small'|'ml.t3.medium'|'ml.t3.large'|'ml.t3.xlarge'|'ml.t3.2xlarge'|'ml.m5.large'|'ml.m5.xlarge'|'ml.m5.2xlarge'|'ml.m5.4xlarge'|'ml.m5.8xlarge'|'ml.m5.12xlarge'|'ml.m5.16xlarge'|'ml.m5.24xlarge'|'ml.m5d.large'|'ml.m5d.xlarge'|'ml.m5d.2xlarge'|'ml.m5d.4xlarge'|'ml.m5d.8xlarge'|'ml.m5d.12xlarge'|'ml.m5d.16xlarge'|'ml.m5d.24xlarge'|'ml.c5.large'|'ml.c5.xlarge'|'ml.c5.2xlarge'|'ml.c5.4xlarge'|'ml.c5.9xlarge'|'ml.c5.12xlarge'|'ml.c5.18xlarge'|'ml.c5.24xlarge'|'ml.p3.2xlarge'|'ml.p3.8xlarge'|'ml.p3.16xlarge'|'ml.p3dn.24xlarge'|'ml.g4dn.xlarge'|'ml.g4dn.2xlarge'|'ml.g4dn.4xlarge'|'ml.g4dn.8xlarge'|'ml.g4dn.12xlarge'|'ml.g4dn.16xlarge'|'ml.r5.large'|'ml.r5.xlarge'|'ml.r5.2xlarge'|'ml.r5.4xlarge'|'ml.r5.8xlarge'|'ml.r5.12xlarge'|'ml.r5.16xlarge'|'ml.r5.24xlarge'|'ml.g5.xlarge'|'ml.g5.2xlarge'|'ml.g5.4xlarge'|'ml.g5.8xlarge'|'ml.g5.16xlarge'|'ml.g5.12xlarge'|'ml.g5.24xlarge'|'ml.g5.48xlarge'|'ml.g6.xlarge'|'ml.g6.2xlarge'|'ml.g6.4xlarge'|'ml.g6.8xlarge'|'ml.g6.12xlarge'|'ml.g6.16xlarge'|'ml.g6.24xlarge'|'ml.g6.48xlarge'|'ml.g6e.xlarge'|'ml.g6e.2xlarge'|'ml.g6e.4xlarge'|'ml.g6e.8xlarge'|'ml.g6e.12xlarge'|'ml.g6e.16xlarge'|'ml.g6e.24xlarge'|'ml.g6e.48xlarge'|'ml.geospatial.interactive'|'ml.p4d.24xlarge'|'ml.p4de.24xlarge'|'ml.trn1.2xlarge'|'ml.trn1.32xlarge'|'ml.trn1n.32xlarge'|'ml.p5.48xlarge'|'ml.p5en.48xlarge'|'ml.m6i.large'|'ml.m6i.xlarge'|'ml.m6i.2xlarge'|'ml.m6i.4xlarge'|'ml.m6i.8xlarge'|'ml.m6i.12xlarge'|'ml.m6i.16xlarge'|'ml.m6i.24xlarge'|'ml.m6i.32xlarge'|'ml.m7i.large'|'ml.m7i.xlarge'|'ml.m7i.2xlarge'|'ml.m7i.4xlarge'|'ml.m7i.8xlarge'|'ml.m7i.12xlarge'|'ml.m7i.16xlarge'|'ml.m7i.24xlarge'|'ml.m7i.48xlarge'|'ml.c6i.large'|'ml.c6i.xlarge'|'ml.c6i.2xlarge'|'ml.c6i.4xlarge'|'ml.c6i.8xlarge'|'ml.c6i.12xlarge'|'ml.c6i.16xlarge'|'ml.c6i.24xlarge'|'ml.c6i.32xlarge'|'ml.c7i.large'|'ml.c7i.xlarge'|'ml.c7i.2xlarge'|'ml.c7i.4xlarge'|'ml.c7i.8xlarge'|'ml.c7i.12xlarge'|'ml.c7i.16xlarge'|'ml.c7i.24xlarge'|'ml.c7i.48xlarge'|'ml.r6i.large'|'ml.r6i.xlarge'|'ml.r6i.2xlarge'|'ml.r6i.4xlarge'|'ml.r6i.8xlarge'|'ml.r6i.12xlarge'|'ml.r6i.16xlarge'|'ml.r6i.24xlarge'|'ml.r6i.32xlarge'|'ml.r7i.large'|'ml.r7i.xlarge'|'ml.r7i.2xlarge'|'ml.r7i.4xlarge'|'ml.r7i.8xlarge'|'ml.r7i.12xlarge'|'ml.r7i.16xlarge'|'ml.r7i.24xlarge'|'ml.r7i.48xlarge'|'ml.m6id.large'|'ml.m6id.xlarge'|'ml.m6id.2xlarge'|'ml.m6id.4xlarge'|'ml.m6id.8xlarge'|'ml.m6id.12xlarge'|'ml.m6id.16xlarge'|'ml.m6id.24xlarge'|'ml.m6id.32xlarge'|'ml.c6id.large'|'ml.c6id.xlarge'|'ml.c6id.2xlarge'|'ml.c6id.4xlarge'|'ml.c6id.8xlarge'|'ml.c6id.12xlarge'|'ml.c6id.16xlarge'|'ml.c6id.24xlarge'|'ml.c6id.32xlarge'|'ml.r6id.large'|'ml.r6id.xlarge'|'ml.r6id.2xlarge'|'ml.r6id.4xlarge'|'ml.r6id.8xlarge'|'ml.r6id.12xlarge'|'ml.r6id.16xlarge'|'ml.r6id.24xlarge'|'ml.r6id.32xlarge',
                'LifecycleConfigArn': 'string'
            },
            'CustomImages': [
                {
                    'ImageName': 'string',
                    'ImageVersionNumber': 123,
                    'AppImageConfigName': 'string'
                },
            ],
            'LifecycleConfigArns': [
                'string',
            ],
            'CodeRepositories': [
                {
                    'RepositoryUrl': 'string'
                },
            ],
            'AppLifecycleManagement': {
                'IdleSettings': {
                    'LifecycleManagement': 'ENABLED'|'DISABLED',
                    'IdleTimeoutInMinutes': 123,
                    'MinIdleTimeoutInMinutes': 123,
                    'MaxIdleTimeoutInMinutes': 123
                }
            },
            'EmrSettings': {
                'AssumableRoleArns': [
                    'string',
                ],
                'ExecutionRoleArns': [
                    'string',
                ]
            },
            'BuiltInLifecycleConfigArn': 'string'
        },
        'SpaceStorageSettings': {
            'DefaultEbsStorageSettings': {
                'DefaultEbsVolumeSizeInGb': 123,
                'MaximumEbsVolumeSizeInGb': 123
            }
        },
        'CustomPosixUserConfig': {
            'Uid': 123,
            'Gid': 123
        },
        'CustomFileSystemConfigs': [
            {
                'EFSFileSystemConfig': {
                    'FileSystemId': 'string',
                    'FileSystemPath': 'string'
                },
                'FSxLustreFileSystemConfig': {
                    'FileSystemId': 'string',
                    'FileSystemPath': 'string'
                },
                'S3FileSystemConfig': {
                    'MountPath': 'string',
                    'S3Uri': 'string'
                }
            },
        ]
    }
)

type DomainName:

string

param DomainName:

[REQUIRED]

A name for the domain.

type AuthMode:

string

param AuthMode:

[REQUIRED]

The mode of authentication that members use to access the domain.

type DefaultUserSettings:

dict

param DefaultUserSettings:

[REQUIRED]

The default settings to use to create a user profile when UserSettings isn't specified in the call to the CreateUserProfile API.

SecurityGroups is aggregated when specified in both calls. For all other settings in UserSettings, the values specified in CreateUserProfile take precedence over those specified in CreateDomain.

• ExecutionRole (string) --

  The execution role for the user.

  SageMaker applies this setting only to private spaces that the user creates in the domain. SageMaker doesn't apply this setting to shared spaces.

• SecurityGroups (list) --

  The security groups for the Amazon Virtual Private Cloud (VPC) that the domain uses for communication.

  Optional when the CreateDomain.AppNetworkAccessType parameter is set to PublicInternetOnly.

  Required when the CreateDomain.AppNetworkAccessType parameter is set to VpcOnly, unless specified as part of the DefaultUserSettings for the domain.

  Amazon SageMaker AI adds a security group to allow NFS traffic from Amazon SageMaker AI Studio. Therefore, the number of security groups that you can specify is one less than the maximum number shown.

  SageMaker applies these settings only to private spaces that the user creates in the domain. SageMaker doesn't apply these settings to shared spaces.

  • (string) --

• SharingSettings (dict) --

  Specifies options for sharing Amazon SageMaker AI Studio notebooks.

  • NotebookOutputOption (string) --

    Whether to include the notebook cell output when sharing the notebook. The default is Disabled.

  • S3OutputPath (string) --

    When NotebookOutputOption is Allowed, the Amazon S3 bucket used to store the shared notebook snapshots.

  • S3KmsKeyId (string) --

    When NotebookOutputOption is Allowed, the Amazon Web Services Key Management Service (KMS) encryption key ID used to encrypt the notebook cell output in the Amazon S3 bucket.

• JupyterServerAppSettings (dict) --

  The Jupyter server's app settings.

  • DefaultResourceSpec (dict) --

    The default instance type and the Amazon Resource Name (ARN) of the default SageMaker AI image used by the JupyterServer app. If you use the LifecycleConfigArns parameter, then this parameter is also required.

    • SageMakerImageArn (string) --

      The ARN of the SageMaker AI image that the image version belongs to.

    • SageMakerImageVersionArn (string) --

      The ARN of the image version created on the instance. To clear the value set for SageMakerImageVersionArn, pass None as the value.

    • SageMakerImageVersionAlias (string) --

      The SageMakerImageVersionAlias of the image to launch with. This value is in SemVer 2.0.0 versioning format.

    • InstanceType (string) --

      The instance type that the image version runs on.

    • LifecycleConfigArn (string) --

      The Amazon Resource Name (ARN) of the Lifecycle Configuration attached to the Resource.

  • LifecycleConfigArns (list) --

    The Amazon Resource Name (ARN) of the Lifecycle Configurations attached to the JupyterServerApp. If you use this parameter, the DefaultResourceSpec parameter is also required.

    • (string) --

  • CodeRepositories (list) --

    A list of Git repositories that SageMaker AI automatically displays to users for cloning in the JupyterServer application.

    • (dict) --

      A Git repository that SageMaker AI automatically displays to users for cloning in the JupyterServer application.

      • RepositoryUrl (string) -- [REQUIRED]

        The URL of the Git repository.

• KernelGatewayAppSettings (dict) --

  The kernel gateway app settings.

  • DefaultResourceSpec (dict) --

    The default instance type and the Amazon Resource Name (ARN) of the default SageMaker AI image used by the KernelGateway app.

    • SageMakerImageArn (string) --

      The ARN of the SageMaker AI image that the image version belongs to.

    • SageMakerImageVersionArn (string) --

      The ARN of the image version created on the instance. To clear the value set for SageMakerImageVersionArn, pass None as the value.

    • SageMakerImageVersionAlias (string) --

      The SageMakerImageVersionAlias of the image to launch with. This value is in SemVer 2.0.0 versioning format.

    • InstanceType (string) --

      The instance type that the image version runs on.

    • LifecycleConfigArn (string) --

      The Amazon Resource Name (ARN) of the Lifecycle Configuration attached to the Resource.

  • CustomImages (list) --

    A list of custom SageMaker AI images that are configured to run as a KernelGateway app.

    The maximum number of custom images are as follows.

    • On a domain level: 200

    • On a space level: 5

    • On a user profile level: 5

    • (dict) --

      A custom SageMaker AI image. For more information, see Bring your own SageMaker AI image.

      • ImageName (string) -- [REQUIRED]

        The name of the CustomImage. Must be unique to your account.

      • ImageVersionNumber (integer) --

        The version number of the CustomImage.

      • AppImageConfigName (string) -- [REQUIRED]

        The name of the AppImageConfig.

  • LifecycleConfigArns (list) --

    The Amazon Resource Name (ARN) of the Lifecycle Configurations attached to the the user profile or domain.

    • (string) --

• TensorBoardAppSettings (dict) --

  The TensorBoard app settings.

  • DefaultResourceSpec (dict) --

    The default instance type and the Amazon Resource Name (ARN) of the SageMaker AI image created on the instance.

    • SageMakerImageArn (string) --

      The ARN of the SageMaker AI image that the image version belongs to.

    • SageMakerImageVersionArn (string) --

      The ARN of the image version created on the instance. To clear the value set for SageMakerImageVersionArn, pass None as the value.

    • SageMakerImageVersionAlias (string) --

      The SageMakerImageVersionAlias of the image to launch with. This value is in SemVer 2.0.0 versioning format.

    • InstanceType (string) --

      The instance type that the image version runs on.

    • LifecycleConfigArn (string) --

      The Amazon Resource Name (ARN) of the Lifecycle Configuration attached to the Resource.

• RStudioServerProAppSettings (dict) --

  A collection of settings that configure user interaction with the RStudioServerPro app.

  • AccessStatus (string) --

    Indicates whether the current user has access to the RStudioServerPro app.

  • UserGroup (string) --

    The level of permissions that the user has within the RStudioServerPro app. This value defaults to User. The Admin value allows the user access to the RStudio Administrative Dashboard.

• RSessionAppSettings (dict) --

  A collection of settings that configure the RSessionGateway app.

  • DefaultResourceSpec (dict) --

    Specifies the ARN's of a SageMaker AI image and SageMaker AI image version, and the instance type that the version runs on.

    • SageMakerImageArn (string) --

      The ARN of the SageMaker AI image that the image version belongs to.

    • SageMakerImageVersionArn (string) --

      The ARN of the image version created on the instance. To clear the value set for SageMakerImageVersionArn, pass None as the value.

    • SageMakerImageVersionAlias (string) --

      The SageMakerImageVersionAlias of the image to launch with. This value is in SemVer 2.0.0 versioning format.

    • InstanceType (string) --

      The instance type that the image version runs on.

    • LifecycleConfigArn (string) --

      The Amazon Resource Name (ARN) of the Lifecycle Configuration attached to the Resource.

  • CustomImages (list) --

    A list of custom SageMaker AI images that are configured to run as a RSession app.

    • (dict) --

      A custom SageMaker AI image. For more information, see Bring your own SageMaker AI image.

      • ImageName (string) -- [REQUIRED]

        The name of the CustomImage. Must be unique to your account.

      • ImageVersionNumber (integer) --

        The version number of the CustomImage.

      • AppImageConfigName (string) -- [REQUIRED]

        The name of the AppImageConfig.

• CanvasAppSettings (dict) --

  The Canvas app settings.

  SageMaker applies these settings only to private spaces that SageMaker creates for the Canvas app.

  • TimeSeriesForecastingSettings (dict) --

    Time series forecast settings for the SageMaker Canvas application.

    • Status (string) --

      Describes whether time series forecasting is enabled or disabled in the Canvas application.

    • AmazonForecastRoleArn (string) --

      The IAM role that Canvas passes to Amazon Forecast for time series forecasting. By default, Canvas uses the execution role specified in the UserProfile that launches the Canvas application. If an execution role is not specified in the UserProfile, Canvas uses the execution role specified in the Domain that owns the UserProfile. To allow time series forecasting, this IAM role should have the AmazonSageMakerCanvasForecastAccess policy attached and forecast.amazonaws.com added in the trust relationship as a service principal.

  • ModelRegisterSettings (dict) --

    The model registry settings for the SageMaker Canvas application.

    • Status (string) --

      Describes whether the integration to the model registry is enabled or disabled in the Canvas application.

    • CrossAccountModelRegisterRoleArn (string) --

      The Amazon Resource Name (ARN) of the SageMaker model registry account. Required only to register model versions created by a different SageMaker Canvas Amazon Web Services account than the Amazon Web Services account in which SageMaker model registry is set up.

  • WorkspaceSettings (dict) --

    The workspace settings for the SageMaker Canvas application.

    • S3ArtifactPath (string) --

      The Amazon S3 bucket used to store artifacts generated by Canvas. Updating the Amazon S3 location impacts existing configuration settings, and Canvas users no longer have access to their artifacts. Canvas users must log out and log back in to apply the new location.

    • S3KmsKeyId (string) --

      The Amazon Web Services Key Management Service (KMS) encryption key ID that is used to encrypt artifacts generated by Canvas in the Amazon S3 bucket.

  • IdentityProviderOAuthSettings (list) --

    The settings for connecting to an external data source with OAuth.

    • (dict) --

      The Amazon SageMaker Canvas application setting where you configure OAuth for connecting to an external data source, such as Snowflake.

      • DataSourceName (string) --

        The name of the data source that you're connecting to. Canvas currently supports OAuth for Snowflake and Salesforce Data Cloud.

      • Status (string) --

        Describes whether OAuth for a data source is enabled or disabled in the Canvas application.

      • SecretArn (string) --

        The ARN of an Amazon Web Services Secrets Manager secret that stores the credentials from your identity provider, such as the client ID and secret, authorization URL, and token URL.

  • DirectDeploySettings (dict) --

    The model deployment settings for the SageMaker Canvas application.

    • Status (string) --

      Describes whether model deployment permissions are enabled or disabled in the Canvas application.

  • KendraSettings (dict) --

    The settings for document querying.

    • Status (string) --

      Describes whether the document querying feature is enabled or disabled in the Canvas application.

  • GenerativeAiSettings (dict) --

    The generative AI settings for the SageMaker Canvas application.

    • AmazonBedrockRoleArn (string) --

      The ARN of an Amazon Web Services IAM role that allows fine-tuning of large language models (LLMs) in Amazon Bedrock. The IAM role should have Amazon S3 read and write permissions, as well as a trust relationship that establishes bedrock.amazonaws.com as a service principal.

  • EmrServerlessSettings (dict) --

    The settings for running Amazon EMR Serverless data processing jobs in SageMaker Canvas.

    • ExecutionRoleArn (string) --

      The Amazon Resource Name (ARN) of the Amazon Web Services IAM role that is assumed for running Amazon EMR Serverless jobs in SageMaker Canvas. This role should have the necessary permissions to read and write data attached and a trust relationship with EMR Serverless.

    • Status (string) --

      Describes whether Amazon EMR Serverless job capabilities are enabled or disabled in the SageMaker Canvas application.

• CodeEditorAppSettings (dict) --

  The Code Editor application settings.

  SageMaker applies these settings only to private spaces that the user creates in the domain. SageMaker doesn't apply these settings to shared spaces.

  • DefaultResourceSpec (dict) --

    Specifies the ARN's of a SageMaker AI image and SageMaker AI image version, and the instance type that the version runs on.

    • SageMakerImageArn (string) --

      The ARN of the SageMaker AI image that the image version belongs to.

    • SageMakerImageVersionArn (string) --

      The ARN of the image version created on the instance. To clear the value set for SageMakerImageVersionArn, pass None as the value.

    • SageMakerImageVersionAlias (string) --

      The SageMakerImageVersionAlias of the image to launch with. This value is in SemVer 2.0.0 versioning format.

    • InstanceType (string) --

      The instance type that the image version runs on.

    • LifecycleConfigArn (string) --

      The Amazon Resource Name (ARN) of the Lifecycle Configuration attached to the Resource.

  • CustomImages (list) --

    A list of custom SageMaker images that are configured to run as a Code Editor app.

    • (dict) --

      A custom SageMaker AI image. For more information, see Bring your own SageMaker AI image.

      • ImageName (string) -- [REQUIRED]

        The name of the CustomImage. Must be unique to your account.

      • ImageVersionNumber (integer) --

        The version number of the CustomImage.

      • AppImageConfigName (string) -- [REQUIRED]

        The name of the AppImageConfig.

  • LifecycleConfigArns (list) --

    The Amazon Resource Name (ARN) of the Code Editor application lifecycle configuration.

    • (string) --

  • AppLifecycleManagement (dict) --

    Settings that are used to configure and manage the lifecycle of CodeEditor applications.

    • IdleSettings (dict) --

      Settings related to idle shutdown of Studio applications.

      • LifecycleManagement (string) --

        Indicates whether idle shutdown is activated for the application type.

      • IdleTimeoutInMinutes (integer) --

        The time that SageMaker waits after the application becomes idle before shutting it down.

      • MinIdleTimeoutInMinutes (integer) --

        The minimum value in minutes that custom idle shutdown can be set to by the user.

      • MaxIdleTimeoutInMinutes (integer) --

        The maximum value in minutes that custom idle shutdown can be set to by the user.

  • BuiltInLifecycleConfigArn (string) --

    The lifecycle configuration that runs before the default lifecycle configuration. It can override changes made in the default lifecycle configuration.

• JupyterLabAppSettings (dict) --

  The settings for the JupyterLab application.

  SageMaker applies these settings only to private spaces that the user creates in the domain. SageMaker doesn't apply these settings to shared spaces.

  • DefaultResourceSpec (dict) --

    Specifies the ARN's of a SageMaker AI image and SageMaker AI image version, and the instance type that the version runs on.

    • SageMakerImageArn (string) --

      The ARN of the SageMaker AI image that the image version belongs to.

    • SageMakerImageVersionArn (string) --

      The ARN of the image version created on the instance. To clear the value set for SageMakerImageVersionArn, pass None as the value.

    • SageMakerImageVersionAlias (string) --

      The SageMakerImageVersionAlias of the image to launch with. This value is in SemVer 2.0.0 versioning format.

    • InstanceType (string) --

      The instance type that the image version runs on.

    • LifecycleConfigArn (string) --

      The Amazon Resource Name (ARN) of the Lifecycle Configuration attached to the Resource.

  • CustomImages (list) --

    A list of custom SageMaker images that are configured to run as a JupyterLab app.

    • (dict) --

      A custom SageMaker AI image. For more information, see Bring your own SageMaker AI image.

      • ImageName (string) -- [REQUIRED]

        The name of the CustomImage. Must be unique to your account.

      • ImageVersionNumber (integer) --

        The version number of the CustomImage.

      • AppImageConfigName (string) -- [REQUIRED]

        The name of the AppImageConfig.

  • LifecycleConfigArns (list) --

    The Amazon Resource Name (ARN) of the lifecycle configurations attached to the user profile or domain. To remove a lifecycle config, you must set LifecycleConfigArns to an empty list.

    • (string) --

  • CodeRepositories (list) --

    A list of Git repositories that SageMaker automatically displays to users for cloning in the JupyterLab application.

    • (dict) --

      A Git repository that SageMaker AI automatically displays to users for cloning in the JupyterServer application.

      • RepositoryUrl (string) -- [REQUIRED]

        The URL of the Git repository.

  • AppLifecycleManagement (dict) --

    Indicates whether idle shutdown is activated for JupyterLab applications.

    • IdleSettings (dict) --

      Settings related to idle shutdown of Studio applications.

      • LifecycleManagement (string) --

        Indicates whether idle shutdown is activated for the application type.

      • IdleTimeoutInMinutes (integer) --

        The time that SageMaker waits after the application becomes idle before shutting it down.

      • MinIdleTimeoutInMinutes (integer) --

        The minimum value in minutes that custom idle shutdown can be set to by the user.

      • MaxIdleTimeoutInMinutes (integer) --

        The maximum value in minutes that custom idle shutdown can be set to by the user.

  • EmrSettings (dict) --

    The configuration parameters that specify the IAM roles assumed by the execution role of SageMaker (assumable roles) and the cluster instances or job execution environments (execution roles or runtime roles) to manage and access resources required for running Amazon EMR clusters or Amazon EMR Serverless applications.

    • AssumableRoleArns (list) --

      An array of Amazon Resource Names (ARNs) of the IAM roles that the execution role of SageMaker can assume for performing operations or tasks related to Amazon EMR clusters or Amazon EMR Serverless applications. These roles define the permissions and access policies required when performing Amazon EMR-related operations, such as listing, connecting to, or terminating Amazon EMR clusters or Amazon EMR Serverless applications. They are typically used in cross-account access scenarios, where the Amazon EMR resources (clusters or serverless applications) are located in a different Amazon Web Services account than the SageMaker domain.

      • (string) --

    • ExecutionRoleArns (list) --

      An array of Amazon Resource Names (ARNs) of the IAM roles used by the Amazon EMR cluster instances or job execution environments to access other Amazon Web Services services and resources needed during the runtime of your Amazon EMR or Amazon EMR Serverless workloads, such as Amazon S3 for data access, Amazon CloudWatch for logging, or other Amazon Web Services services based on the particular workload requirements.

      • (string) --

  • BuiltInLifecycleConfigArn (string) --

    The lifecycle configuration that runs before the default lifecycle configuration. It can override changes made in the default lifecycle configuration.

• SpaceStorageSettings (dict) --

  The storage settings for a space.

  SageMaker applies these settings only to private spaces that the user creates in the domain. SageMaker doesn't apply these settings to shared spaces.

  • DefaultEbsStorageSettings (dict) --

    The default EBS storage settings for a space.

    • DefaultEbsVolumeSizeInGb (integer) -- [REQUIRED]

      The default size of the EBS storage volume for a space.

    • MaximumEbsVolumeSizeInGb (integer) -- [REQUIRED]

      The maximum size of the EBS storage volume for a space.

• DefaultLandingUri (string) --

  The default experience that the user is directed to when accessing the domain. The supported values are:

  • studio::: Indicates that Studio is the default experience. This value can only be passed if StudioWebPortal is set to ENABLED.

  • app:JupyterServer:: Indicates that Studio Classic is the default experience.

• StudioWebPortal (string) --

  Whether the user can access Studio. If this value is set to DISABLED, the user cannot access Studio, even if that is the default experience for the domain.

• CustomPosixUserConfig (dict) --

  Details about the POSIX identity that is used for file system operations.

  SageMaker applies these settings only to private spaces that the user creates in the domain. SageMaker doesn't apply these settings to shared spaces.

  • Uid (integer) -- [REQUIRED]

    The POSIX user ID.

  • Gid (integer) -- [REQUIRED]

    The POSIX group ID.

• CustomFileSystemConfigs (list) --

  The settings for assigning a custom file system to a user profile. Permitted users can access this file system in Amazon SageMaker AI Studio.

  SageMaker applies these settings only to private spaces that the user creates in the domain. SageMaker doesn't apply these settings to shared spaces.

  • (dict) --

    The settings for assigning a custom file system to a user profile or space for an Amazon SageMaker AI Domain. Permitted users can access this file system in Amazon SageMaker AI Studio.

    • EFSFileSystemConfig (dict) --

      The settings for a custom Amazon EFS file system.

      • FileSystemId (string) -- [REQUIRED]

        The ID of your Amazon EFS file system.

      • FileSystemPath (string) --

        The path to the file system directory that is accessible in Amazon SageMaker AI Studio. Permitted users can access only this directory and below.

    • FSxLustreFileSystemConfig (dict) --

      The settings for a custom Amazon FSx for Lustre file system.

      • FileSystemId (string) -- [REQUIRED]

        The globally unique, 17-digit, ID of the file system, assigned by Amazon FSx for Lustre.

      • FileSystemPath (string) --

        The path to the file system directory that is accessible in Amazon SageMaker Studio. Permitted users can access only this directory and below.

    • S3FileSystemConfig (dict) --

      Configuration settings for a custom Amazon S3 file system.

      • MountPath (string) --

        The file system path where the Amazon S3 storage location will be mounted within the Amazon SageMaker Studio environment.

      • S3Uri (string) -- [REQUIRED]

        The Amazon S3 URI of the S3 file system configuration.

• StudioWebPortalSettings (dict) --

  Studio settings. If these settings are applied on a user level, they take priority over the settings applied on a domain level.

  • HiddenMlTools (list) --

    The machine learning tools that are hidden from the Studio left navigation pane.

    • (string) --

  • HiddenAppTypes (list) --

    The Applications supported in Studio that are hidden from the Studio left navigation pane.

    • (string) --

  • HiddenInstanceTypes (list) --

    The instance types you are hiding from the Studio user interface.

    • (string) --

  • HiddenSageMakerImageVersionAliases (list) --

    The version aliases you are hiding from the Studio user interface.

    • (dict) --

      The SageMaker images that are hidden from the Studio user interface. You must specify the SageMaker image name and version aliases.

      • SageMakerImageName (string) --

        The SageMaker image name that you are hiding from the Studio user interface.

      • VersionAliases (list) --

        The version aliases you are hiding from the Studio user interface.

        • (string) --

• AutoMountHomeEFS (string) --

  Indicates whether auto-mounting of an EFS volume is supported for the user profile. The DefaultAsDomain value is only supported for user profiles. Do not use the DefaultAsDomain value when setting this parameter for a domain.

  SageMaker applies this setting only to private spaces that the user creates in the domain. SageMaker doesn't apply this setting to shared spaces.

type DomainSettings:

dict

param DomainSettings:

A collection of Domain settings.

• SecurityGroupIds (list) --

  The security groups for the Amazon Virtual Private Cloud that the Domain uses for communication between Domain-level apps and user apps.

  • (string) --

• RStudioServerProDomainSettings (dict) --

  A collection of settings that configure the RStudioServerPro Domain-level app.

  • DomainExecutionRoleArn (string) -- [REQUIRED]

    The ARN of the execution role for the RStudioServerPro Domain-level app.

  • RStudioConnectUrl (string) --

    A URL pointing to an RStudio Connect server.

  • RStudioPackageManagerUrl (string) --

    A URL pointing to an RStudio Package Manager server.

  • DefaultResourceSpec (dict) --

    Specifies the ARN's of a SageMaker AI image and SageMaker AI image version, and the instance type that the version runs on.

    • SageMakerImageArn (string) --

      The ARN of the SageMaker AI image that the image version belongs to.

    • SageMakerImageVersionArn (string) --

      The ARN of the image version created on the instance. To clear the value set for SageMakerImageVersionArn, pass None as the value.

    • SageMakerImageVersionAlias (string) --

      The SageMakerImageVersionAlias of the image to launch with. This value is in SemVer 2.0.0 versioning format.

    • InstanceType (string) --

      The instance type that the image version runs on.

    • LifecycleConfigArn (string) --

      The Amazon Resource Name (ARN) of the Lifecycle Configuration attached to the Resource.

• ExecutionRoleIdentityConfig (string) --

  The configuration for attaching a SageMaker AI user profile name to the execution role as a sts:SourceIdentity key.

• TrustedIdentityPropagationSettings (dict) --

  The Trusted Identity Propagation (TIP) settings for the SageMaker domain. These settings determine how user identities from IAM Identity Center are propagated through the domain to TIP enabled Amazon Web Services services.

  • Status (string) -- [REQUIRED]

    The status of Trusted Identity Propagation (TIP) at the SageMaker domain level.

    When disabled, standard IAM role-based access is used.

    When enabled:

    • User identities from IAM Identity Center are propagated through the application to TIP enabled Amazon Web Services services.

    • New applications or existing applications that are automatically patched, will use the domain level configuration.

• DockerSettings (dict) --

  A collection of settings that configure the domain's Docker interaction.

  • EnableDockerAccess (string) --

    Indicates whether the domain can access Docker.

  • VpcOnlyTrustedAccounts (list) --

    The list of Amazon Web Services accounts that are trusted when the domain is created in VPC-only mode.

    • (string) --

  • RootlessDocker (string) --

    Indicates whether to use rootless Docker. Default value is DISABLED.

• AmazonQSettings (dict) --

  A collection of settings that configure the Amazon Q experience within the domain. The AuthMode that you use to create the domain must be SSO.

  • Status (string) --

    Whether Amazon Q has been enabled within the domain.

  • QProfileArn (string) --

    The ARN of the Amazon Q profile used within the domain.

• UnifiedStudioSettings (dict) --

  The settings that apply to an SageMaker AI domain when you use it in Amazon SageMaker Unified Studio.

  • StudioWebPortalAccess (string) --

    Sets whether you can access the domain in Amazon SageMaker Studio:

    ENABLED

    You can access the domain in Amazon SageMaker Studio. If you migrate the domain to Amazon SageMaker Unified Studio, you can access it in both studio interfaces.

    DISABLED

    You can't access the domain in Amazon SageMaker Studio. If you migrate the domain to Amazon SageMaker Unified Studio, you can access it only in that studio interface.

    To migrate a domain to Amazon SageMaker Unified Studio, you specify the UnifiedStudioSettings data type when you use the UpdateDomain action.

  • DomainAccountId (string) --

    The ID of the Amazon Web Services account that has the Amazon SageMaker Unified Studio domain. The default value, if you don't specify an ID, is the ID of the account that has the Amazon SageMaker AI domain.

  • DomainRegion (string) --

    The Amazon Web Services Region where the domain is located in Amazon SageMaker Unified Studio. The default value, if you don't specify a Region, is the Region where the Amazon SageMaker AI domain is located.

  • DomainId (string) --

    The ID of the Amazon SageMaker Unified Studio domain associated with this domain.

  • ProjectId (string) --

    The ID of the Amazon SageMaker Unified Studio project that corresponds to the domain.

  • EnvironmentId (string) --

    The ID of the environment that Amazon SageMaker Unified Studio associates with the domain.

  • ProjectS3Path (string) --

    The location where Amazon S3 stores temporary execution data and other artifacts for the project that corresponds to the domain.

  • SingleSignOnApplicationArn (string) --

    The ARN of the Amazon DataZone application managed by Amazon SageMaker Unified Studio in the Amazon Web Services IAM Identity Center.

type SubnetIds:

list

param SubnetIds:

The VPC subnets that the domain uses for communication.

The field is optional when the AppNetworkAccessType parameter is set to PublicInternetOnly for domains created from Amazon SageMaker Unified Studio.

• (string) --

type VpcId:

string

param VpcId:

The ID of the Amazon Virtual Private Cloud (VPC) that the domain uses for communication.

The field is optional when the AppNetworkAccessType parameter is set to PublicInternetOnly for domains created from Amazon SageMaker Unified Studio.

type Tags:

list

param Tags:

Tags to associated with the Domain. Each tag consists of a key and an optional value. Tag keys must be unique per resource. Tags are searchable using the Search API.

Tags that you specify for the Domain are also added to all Apps that the Domain launches.

• (dict) --

  A tag object that consists of a key and an optional value, used to manage metadata for SageMaker Amazon Web Services resources.

  You can add tags to notebook instances, training jobs, hyperparameter tuning jobs, batch transform jobs, models, labeling jobs, work teams, endpoint configurations, and endpoints. For more information on adding tags to SageMaker resources, see AddTags.

  For more information on adding metadata to your Amazon Web Services resources with tagging, see Tagging Amazon Web Services resources. For advice on best practices for managing Amazon Web Services resources with tagging, see Tagging Best Practices: Implement an Effective Amazon Web Services Resource Tagging Strategy.

  • Key (string) -- [REQUIRED]

    The tag key. Tag keys must be unique per resource.

  • Value (string) -- [REQUIRED]

    The tag value.

type AppNetworkAccessType:

string

param AppNetworkAccessType:

Specifies the VPC used for non-EFS traffic. The default value is PublicInternetOnly.

• PublicInternetOnly - Non-EFS traffic is through a VPC managed by Amazon SageMaker AI, which allows direct internet access

• VpcOnly - All traffic is through the specified VPC and subnets

type HomeEfsFileSystemKmsKeyId:

string

param HomeEfsFileSystemKmsKeyId:

Use KmsKeyId.

type KmsKeyId:

string

param KmsKeyId:

SageMaker AI uses Amazon Web Services KMS to encrypt EFS and EBS volumes attached to the domain with an Amazon Web Services managed key by default. For more control, specify a customer managed key.

type AppSecurityGroupManagement:

string

param AppSecurityGroupManagement:

The entity that creates and manages the required security groups for inter-app communication in VPCOnly mode. Required when CreateDomain.AppNetworkAccessType is VPCOnly and DomainSettings.RStudioServerProDomainSettings.DomainExecutionRoleArn is provided. If setting up the domain for use with RStudio, this value must be set to Service.

type TagPropagation:

string

param TagPropagation:

Indicates whether custom tag propagation is supported for the domain. Defaults to DISABLED.

type DefaultSpaceSettings:

dict

param DefaultSpaceSettings:

The default settings for shared spaces that users create in the domain.

• ExecutionRole (string) --

  The ARN of the execution role for the space.

• SecurityGroups (list) --

  The security group IDs for the Amazon VPC that the space uses for communication.

  • (string) --

• JupyterServerAppSettings (dict) --

  The JupyterServer app settings.

  • DefaultResourceSpec (dict) --

    The default instance type and the Amazon Resource Name (ARN) of the default SageMaker AI image used by the JupyterServer app. If you use the LifecycleConfigArns parameter, then this parameter is also required.

    • SageMakerImageArn (string) --

      The ARN of the SageMaker AI image that the image version belongs to.

    • SageMakerImageVersionArn (string) --

      The ARN of the image version created on the instance. To clear the value set for SageMakerImageVersionArn, pass None as the value.

    • SageMakerImageVersionAlias (string) --

      The SageMakerImageVersionAlias of the image to launch with. This value is in SemVer 2.0.0 versioning format.

    • InstanceType (string) --

      The instance type that the image version runs on.

    • LifecycleConfigArn (string) --

      The Amazon Resource Name (ARN) of the Lifecycle Configuration attached to the Resource.

  • LifecycleConfigArns (list) --

    The Amazon Resource Name (ARN) of the Lifecycle Configurations attached to the JupyterServerApp. If you use this parameter, the DefaultResourceSpec parameter is also required.

    • (string) --

  • CodeRepositories (list) --

    A list of Git repositories that SageMaker AI automatically displays to users for cloning in the JupyterServer application.

    • (dict) --

      A Git repository that SageMaker AI automatically displays to users for cloning in the JupyterServer application.

      • RepositoryUrl (string) -- [REQUIRED]

        The URL of the Git repository.

• KernelGatewayAppSettings (dict) --

  The KernelGateway app settings.

  • DefaultResourceSpec (dict) --

    The default instance type and the Amazon Resource Name (ARN) of the default SageMaker AI image used by the KernelGateway app.

    • SageMakerImageArn (string) --

      The ARN of the SageMaker AI image that the image version belongs to.

    • SageMakerImageVersionArn (string) --

      The ARN of the image version created on the instance. To clear the value set for SageMakerImageVersionArn, pass None as the value.

    • SageMakerImageVersionAlias (string) --

      The SageMakerImageVersionAlias of the image to launch with. This value is in SemVer 2.0.0 versioning format.

    • InstanceType (string) --

      The instance type that the image version runs on.

    • LifecycleConfigArn (string) --

      The Amazon Resource Name (ARN) of the Lifecycle Configuration attached to the Resource.

  • CustomImages (list) --

    A list of custom SageMaker AI images that are configured to run as a KernelGateway app.

    The maximum number of custom images are as follows.

    • On a domain level: 200

    • On a space level: 5

    • On a user profile level: 5

    • (dict) --

      A custom SageMaker AI image. For more information, see Bring your own SageMaker AI image.

      • ImageName (string) -- [REQUIRED]

        The name of the CustomImage. Must be unique to your account.

      • ImageVersionNumber (integer) --

        The version number of the CustomImage.

      • AppImageConfigName (string) -- [REQUIRED]

        The name of the AppImageConfig.

  • LifecycleConfigArns (list) --

    The Amazon Resource Name (ARN) of the Lifecycle Configurations attached to the the user profile or domain.

    • (string) --

• JupyterLabAppSettings (dict) --

  The settings for the JupyterLab application.

  • DefaultResourceSpec (dict) --

    Specifies the ARN's of a SageMaker AI image and SageMaker AI image version, and the instance type that the version runs on.

    • SageMakerImageArn (string) --

      The ARN of the SageMaker AI image that the image version belongs to.

    • SageMakerImageVersionArn (string) --

      The ARN of the image version created on the instance. To clear the value set for SageMakerImageVersionArn, pass None as the value.

    • SageMakerImageVersionAlias (string) --

      The SageMakerImageVersionAlias of the image to launch with. This value is in SemVer 2.0.0 versioning format.

    • InstanceType (string) --

      The instance type that the image version runs on.

    • LifecycleConfigArn (string) --

      The Amazon Resource Name (ARN) of the Lifecycle Configuration attached to the Resource.

  • CustomImages (list) --

    A list of custom SageMaker images that are configured to run as a JupyterLab app.

    • (dict) --

      A custom SageMaker AI image. For more information, see Bring your own SageMaker AI image.

      • ImageName (string) -- [REQUIRED]

        The name of the CustomImage. Must be unique to your account.

      • ImageVersionNumber (integer) --

        The version number of the CustomImage.

      • AppImageConfigName (string) -- [REQUIRED]

        The name of the AppImageConfig.

  • LifecycleConfigArns (list) --

    The Amazon Resource Name (ARN) of the lifecycle configurations attached to the user profile or domain. To remove a lifecycle config, you must set LifecycleConfigArns to an empty list.

    • (string) --

  • CodeRepositories (list) --

    A list of Git repositories that SageMaker automatically displays to users for cloning in the JupyterLab application.

    • (dict) --

      A Git repository that SageMaker AI automatically displays to users for cloning in the JupyterServer application.

      • RepositoryUrl (string) -- [REQUIRED]

        The URL of the Git repository.

  • AppLifecycleManagement (dict) --

    Indicates whether idle shutdown is activated for JupyterLab applications.

    • IdleSettings (dict) --

      Settings related to idle shutdown of Studio applications.

      • LifecycleManagement (string) --

        Indicates whether idle shutdown is activated for the application type.

      • IdleTimeoutInMinutes (integer) --

        The time that SageMaker waits after the application becomes idle before shutting it down.

      • MinIdleTimeoutInMinutes (integer) --

        The minimum value in minutes that custom idle shutdown can be set to by the user.

      • MaxIdleTimeoutInMinutes (integer) --

        The maximum value in minutes that custom idle shutdown can be set to by the user.

  • EmrSettings (dict) --

    The configuration parameters that specify the IAM roles assumed by the execution role of SageMaker (assumable roles) and the cluster instances or job execution environments (execution roles or runtime roles) to manage and access resources required for running Amazon EMR clusters or Amazon EMR Serverless applications.

    • AssumableRoleArns (list) --

      An array of Amazon Resource Names (ARNs) of the IAM roles that the execution role of SageMaker can assume for performing operations or tasks related to Amazon EMR clusters or Amazon EMR Serverless applications. These roles define the permissions and access policies required when performing Amazon EMR-related operations, such as listing, connecting to, or terminating Amazon EMR clusters or Amazon EMR Serverless applications. They are typically used in cross-account access scenarios, where the Amazon EMR resources (clusters or serverless applications) are located in a different Amazon Web Services account than the SageMaker domain.

      • (string) --

    • ExecutionRoleArns (list) --

      An array of Amazon Resource Names (ARNs) of the IAM roles used by the Amazon EMR cluster instances or job execution environments to access other Amazon Web Services services and resources needed during the runtime of your Amazon EMR or Amazon EMR Serverless workloads, such as Amazon S3 for data access, Amazon CloudWatch for logging, or other Amazon Web Services services based on the particular workload requirements.

      • (string) --

  • BuiltInLifecycleConfigArn (string) --

    The lifecycle configuration that runs before the default lifecycle configuration. It can override changes made in the default lifecycle configuration.

• SpaceStorageSettings (dict) --

  The default storage settings for a space.

  • DefaultEbsStorageSettings (dict) --

    The default EBS storage settings for a space.

    • DefaultEbsVolumeSizeInGb (integer) -- [REQUIRED]

      The default size of the EBS storage volume for a space.

    • MaximumEbsVolumeSizeInGb (integer) -- [REQUIRED]

      The maximum size of the EBS storage volume for a space.

• CustomPosixUserConfig (dict) --

  Details about the POSIX identity that is used for file system operations.

  • Uid (integer) -- [REQUIRED]

    The POSIX user ID.

  • Gid (integer) -- [REQUIRED]

    The POSIX group ID.

• CustomFileSystemConfigs (list) --

  The settings for assigning a custom file system to a domain. Permitted users can access this file system in Amazon SageMaker AI Studio.

  • (dict) --

    The settings for assigning a custom file system to a user profile or space for an Amazon SageMaker AI Domain. Permitted users can access this file system in Amazon SageMaker AI Studio.

    • EFSFileSystemConfig (dict) --

      The settings for a custom Amazon EFS file system.

      • FileSystemId (string) -- [REQUIRED]

        The ID of your Amazon EFS file system.

      • FileSystemPath (string) --

        The path to the file system directory that is accessible in Amazon SageMaker AI Studio. Permitted users can access only this directory and below.

    • FSxLustreFileSystemConfig (dict) --

      The settings for a custom Amazon FSx for Lustre file system.

      • FileSystemId (string) -- [REQUIRED]

        The globally unique, 17-digit, ID of the file system, assigned by Amazon FSx for Lustre.

      • FileSystemPath (string) --

        The path to the file system directory that is accessible in Amazon SageMaker Studio. Permitted users can access only this directory and below.

    • S3FileSystemConfig (dict) --

      Configuration settings for a custom Amazon S3 file system.

      • MountPath (string) --

        The file system path where the Amazon S3 storage location will be mounted within the Amazon SageMaker Studio environment.

      • S3Uri (string) -- [REQUIRED]

        The Amazon S3 URI of the S3 file system configuration.

rtype:

dict

returns:

Response Syntax

{
    'DomainArn': 'string',
    'DomainId': 'string',
    'Url': 'string'
}

Response Structure

• (dict) --

  • DomainArn (string) --

    The Amazon Resource Name (ARN) of the created domain.

  • DomainId (string) --

    The ID of the created domain.

  • Url (string) --

    The URL to the created domain.

{'ModelVariants': {'InfrastructureConfig': {'RealTimeInferenceConfig': {'InstanceType': {'ml.p6-b200.48xlarge'}}}}}

Creates an inference experiment using the configurations specified in the request.

Use this API to setup and schedule an experiment to compare model variants on a Amazon SageMaker inference endpoint. For more information about inference experiments, see Shadow tests.

Amazon SageMaker begins your experiment at the scheduled time and routes traffic to your endpoint's model variants based on your specified configuration.

While the experiment is in progress or after it has concluded, you can view metrics that compare your model variants. For more information, see View, monitor, and edit shadow tests.

See also: AWS API Documentation

Request Syntax

client.create_inference_experiment(
    Name='string',
    Type='ShadowMode',
    Schedule={
        'StartTime': datetime(2015, 1, 1),
        'EndTime': datetime(2015, 1, 1)
    },
    Description='string',
    RoleArn='string',
    EndpointName='string',
    ModelVariants=[
        {
            'ModelName': 'string',
            'VariantName': 'string',
            'InfrastructureConfig': {
                'InfrastructureType': 'RealTimeInference',
                'RealTimeInferenceConfig': {
                    'InstanceType': 'ml.t2.medium'|'ml.t2.large'|'ml.t2.xlarge'|'ml.t2.2xlarge'|'ml.t3.medium'|'ml.t3.large'|'ml.t3.xlarge'|'ml.t3.2xlarge'|'ml.m4.xlarge'|'ml.m4.2xlarge'|'ml.m4.4xlarge'|'ml.m4.10xlarge'|'ml.m4.16xlarge'|'ml.m5.xlarge'|'ml.m5.2xlarge'|'ml.m5.4xlarge'|'ml.m5.12xlarge'|'ml.m5.24xlarge'|'ml.m5d.large'|'ml.m5d.xlarge'|'ml.m5d.2xlarge'|'ml.m5d.4xlarge'|'ml.m5d.8xlarge'|'ml.m5d.12xlarge'|'ml.m5d.16xlarge'|'ml.m5d.24xlarge'|'ml.c4.xlarge'|'ml.c4.2xlarge'|'ml.c4.4xlarge'|'ml.c4.8xlarge'|'ml.c5.xlarge'|'ml.c5.2xlarge'|'ml.c5.4xlarge'|'ml.c5.9xlarge'|'ml.c5.18xlarge'|'ml.c5d.xlarge'|'ml.c5d.2xlarge'|'ml.c5d.4xlarge'|'ml.c5d.9xlarge'|'ml.c5d.18xlarge'|'ml.p2.xlarge'|'ml.p2.8xlarge'|'ml.p2.16xlarge'|'ml.p3.2xlarge'|'ml.p3.8xlarge'|'ml.p3.16xlarge'|'ml.p3dn.24xlarge'|'ml.g4dn.xlarge'|'ml.g4dn.2xlarge'|'ml.g4dn.4xlarge'|'ml.g4dn.8xlarge'|'ml.g4dn.12xlarge'|'ml.g4dn.16xlarge'|'ml.r5.large'|'ml.r5.xlarge'|'ml.r5.2xlarge'|'ml.r5.4xlarge'|'ml.r5.8xlarge'|'ml.r5.12xlarge'|'ml.r5.16xlarge'|'ml.r5.24xlarge'|'ml.g5.xlarge'|'ml.g5.2xlarge'|'ml.g5.4xlarge'|'ml.g5.8xlarge'|'ml.g5.16xlarge'|'ml.g5.12xlarge'|'ml.g5.24xlarge'|'ml.g5.48xlarge'|'ml.inf1.xlarge'|'ml.inf1.2xlarge'|'ml.inf1.6xlarge'|'ml.inf1.24xlarge'|'ml.trn1.2xlarge'|'ml.trn1.32xlarge'|'ml.trn1n.32xlarge'|'ml.inf2.xlarge'|'ml.inf2.8xlarge'|'ml.inf2.24xlarge'|'ml.inf2.48xlarge'|'ml.p4d.24xlarge'|'ml.p4de.24xlarge'|'ml.p5.48xlarge'|'ml.p6-b200.48xlarge'|'ml.m6i.large'|'ml.m6i.xlarge'|'ml.m6i.2xlarge'|'ml.m6i.4xlarge'|'ml.m6i.8xlarge'|'ml.m6i.12xlarge'|'ml.m6i.16xlarge'|'ml.m6i.24xlarge'|'ml.m6i.32xlarge'|'ml.m7i.large'|'ml.m7i.xlarge'|'ml.m7i.2xlarge'|'ml.m7i.4xlarge'|'ml.m7i.8xlarge'|'ml.m7i.12xlarge'|'ml.m7i.16xlarge'|'ml.m7i.24xlarge'|'ml.m7i.48xlarge'|'ml.c6i.large'|'ml.c6i.xlarge'|'ml.c6i.2xlarge'|'ml.c6i.4xlarge'|'ml.c6i.8xlarge'|'ml.c6i.12xlarge'|'ml.c6i.16xlarge'|'ml.c6i.24xlarge'|'ml.c6i.32xlarge'|'ml.c7i.large'|'ml.c7i.xlarge'|'ml.c7i.2xlarge'|'ml.c7i.4xlarge'|'ml.c7i.8xlarge'|'ml.c7i.12xlarge'|'ml.c7i.16xlarge'|'ml.c7i.24xlarge'|'ml.c7i.48xlarge'|'ml.r6i.large'|'ml.r6i.xlarge'|'ml.r6i.2xlarge'|'ml.r6i.4xlarge'|'ml.r6i.8xlarge'|'ml.r6i.12xlarge'|'ml.r6i.16xlarge'|'ml.r6i.24xlarge'|'ml.r6i.32xlarge'|'ml.r7i.large'|'ml.r7i.xlarge'|'ml.r7i.2xlarge'|'ml.r7i.4xlarge'|'ml.r7i.8xlarge'|'ml.r7i.12xlarge'|'ml.r7i.16xlarge'|'ml.r7i.24xlarge'|'ml.r7i.48xlarge'|'ml.m6id.large'|'ml.m6id.xlarge'|'ml.m6id.2xlarge'|'ml.m6id.4xlarge'|'ml.m6id.8xlarge'|'ml.m6id.12xlarge'|'ml.m6id.16xlarge'|'ml.m6id.24xlarge'|'ml.m6id.32xlarge'|'ml.c6id.large'|'ml.c6id.xlarge'|'ml.c6id.2xlarge'|'ml.c6id.4xlarge'|'ml.c6id.8xlarge'|'ml.c6id.12xlarge'|'ml.c6id.16xlarge'|'ml.c6id.24xlarge'|'ml.c6id.32xlarge'|'ml.r6id.large'|'ml.r6id.xlarge'|'ml.r6id.2xlarge'|'ml.r6id.4xlarge'|'ml.r6id.8xlarge'|'ml.r6id.12xlarge'|'ml.r6id.16xlarge'|'ml.r6id.24xlarge'|'ml.r6id.32xlarge'|'ml.g6.xlarge'|'ml.g6.2xlarge'|'ml.g6.4xlarge'|'ml.g6.8xlarge'|'ml.g6.12xlarge'|'ml.g6.16xlarge'|'ml.g6.24xlarge'|'ml.g6.48xlarge',
                    'InstanceCount': 123
                }
            }
        },
    ],
    DataStorageConfig={
        'Destination': 'string',
        'KmsKey': 'string',
        'ContentType': {
            'CsvContentTypes': [
                'string',
            ],
            'JsonContentTypes': [
                'string',
            ]
        }
    },
    ShadowModeConfig={
        'SourceModelVariantName': 'string',
        'ShadowModelVariants': [
            {
                'ShadowModelVariantName': 'string',
                'SamplingPercentage': 123
            },
        ]
    },
    KmsKey='string',
    Tags=[
        {
            'Key': 'string',
            'Value': 'string'
        },
    ]
)

type Name:

string

param Name:

[REQUIRED]

The name for the inference experiment.

type Type:

string

param Type:

[REQUIRED]

The type of the inference experiment that you want to run. The following types of experiments are possible:

• ShadowMode: You can use this type to validate a shadow variant. For more information, see Shadow tests.

type Schedule:

dict

param Schedule:

The duration for which you want the inference experiment to run. If you don't specify this field, the experiment automatically starts immediately upon creation and concludes after 7 days.

• StartTime (datetime) --

  The timestamp at which the inference experiment started or will start.

• EndTime (datetime) --

  The timestamp at which the inference experiment ended or will end.

type Description:

string

param Description:

A description for the inference experiment.

type RoleArn:

string

param RoleArn:

[REQUIRED]

The ARN of the IAM role that Amazon SageMaker can assume to access model artifacts and container images, and manage Amazon SageMaker Inference endpoints for model deployment.

type EndpointName:

string

param EndpointName:

[REQUIRED]

The name of the Amazon SageMaker endpoint on which you want to run the inference experiment.

type ModelVariants:

list

param ModelVariants:

[REQUIRED]

An array of ModelVariantConfig objects. There is one for each variant in the inference experiment. Each ModelVariantConfig object in the array describes the infrastructure configuration for the corresponding variant.

• (dict) --

  Contains information about the deployment options of a model.

  • ModelName (string) -- [REQUIRED]

    The name of the Amazon SageMaker Model entity.

  • VariantName (string) -- [REQUIRED]

    The name of the variant.

  • InfrastructureConfig (dict) -- [REQUIRED]

    The configuration for the infrastructure that the model will be deployed to.

    • InfrastructureType (string) -- [REQUIRED]

      The inference option to which to deploy your model. Possible values are the following:

      • RealTime: Deploy to real-time inference.

    • RealTimeInferenceConfig (dict) -- [REQUIRED]

      The infrastructure configuration for deploying the model to real-time inference.

      • InstanceType (string) -- [REQUIRED]

        The instance type the model is deployed to.

      • InstanceCount (integer) -- [REQUIRED]

        The number of instances of the type specified by InstanceType.

type DataStorageConfig:

dict

param DataStorageConfig:

The Amazon S3 location and configuration for storing inference request and response data.

This is an optional parameter that you can use for data capture. For more information, see Capture data.

• Destination (string) -- [REQUIRED]

  The Amazon S3 bucket where the inference request and response data is stored.

• KmsKey (string) --

  The Amazon Web Services Key Management Service key that Amazon SageMaker uses to encrypt captured data at rest using Amazon S3 server-side encryption.

• ContentType (dict) --

  Configuration specifying how to treat different headers. If no headers are specified Amazon SageMaker AI will by default base64 encode when capturing the data.

  • CsvContentTypes (list) --

    The list of all content type headers that Amazon SageMaker AI will treat as CSV and capture accordingly.

    • (string) --

  • JsonContentTypes (list) --

    The list of all content type headers that SageMaker AI will treat as JSON and capture accordingly.

    • (string) --

type ShadowModeConfig:

dict

param ShadowModeConfig:

[REQUIRED]

The configuration of ShadowMode inference experiment type. Use this field to specify a production variant which takes all the inference requests, and a shadow variant to which Amazon SageMaker replicates a percentage of the inference requests. For the shadow variant also specify the percentage of requests that Amazon SageMaker replicates.

• SourceModelVariantName (string) -- [REQUIRED]

  The name of the production variant, which takes all the inference requests.

• ShadowModelVariants (list) -- [REQUIRED]

  List of shadow variant configurations.

  • (dict) --

    The name and sampling percentage of a shadow variant.

    • ShadowModelVariantName (string) -- [REQUIRED]

      The name of the shadow variant.

    • SamplingPercentage (integer) -- [REQUIRED]

      The percentage of inference requests that Amazon SageMaker replicates from the production variant to the shadow variant.

type KmsKey:

string

param KmsKey:

The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance that hosts the endpoint. The KmsKey can be any of the following formats:

• KMS key ID "1234abcd-12ab-34cd-56ef-1234567890ab"

• Amazon Resource Name (ARN) of a KMS key "arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"

• KMS key Alias "alias/ExampleAlias"

• Amazon Resource Name (ARN) of a KMS key Alias "arn:aws:kms:us-west-2:111122223333:alias/ExampleAlias"

If you use a KMS key ID or an alias of your KMS key, the Amazon SageMaker execution role must include permissions to call kms:Encrypt. If you don't provide a KMS key ID, Amazon SageMaker uses the default KMS key for Amazon S3 for your role's account. Amazon SageMaker uses server-side encryption with KMS managed keys for OutputDataConfig. If you use a bucket policy with an s3:PutObject permission that only allows objects with server-side encryption, set the condition key of s3:x-amz-server-side-encryption to "aws:kms". For more information, see KMS managed Encryption Keys in the Amazon Simple Storage Service Developer Guide.

The KMS key policy must grant permission to the IAM role that you specify in your CreateEndpoint and UpdateEndpoint requests. For more information, see Using Key Policies in Amazon Web Services KMS in the Amazon Web Services Key Management Service Developer Guide.

type Tags:

list

param Tags:

Array of key-value pairs. You can use tags to categorize your Amazon Web Services resources in different ways, for example, by purpose, owner, or environment. For more information, see Tagging your Amazon Web Services Resources.

• (dict) --

  A tag object that consists of a key and an optional value, used to manage metadata for SageMaker Amazon Web Services resources.

  You can add tags to notebook instances, training jobs, hyperparameter tuning jobs, batch transform jobs, models, labeling jobs, work teams, endpoint configurations, and endpoints. For more information on adding tags to SageMaker resources, see AddTags.

  For more information on adding metadata to your Amazon Web Services resources with tagging, see Tagging Amazon Web Services resources. For advice on best practices for managing Amazon Web Services resources with tagging, see Tagging Best Practices: Implement an Effective Amazon Web Services Resource Tagging Strategy.

  • Key (string) -- [REQUIRED]

    The tag key. Tag keys must be unique per resource.

  • Value (string) -- [REQUIRED]

    The tag value.

rtype:

dict

returns:

Response Syntax

{
    'InferenceExperimentArn': 'string'
}

Response Structure

• (dict) --

  • InferenceExperimentArn (string) --

    The ARN for your inference experiment.

{'InstanceType': {'ml.p6-b200.48xlarge'}}

Creates an SageMaker AI notebook instance. A notebook instance is a machine learning (ML) compute instance running on a Jupyter notebook.

In a CreateNotebookInstance request, specify the type of ML compute instance that you want to run. SageMaker AI launches the instance, installs common libraries that you can use to explore datasets for model training, and attaches an ML storage volume to the notebook instance.

SageMaker AI also provides a set of example notebooks. Each notebook demonstrates how to use SageMaker AI with a specific algorithm or with a machine learning framework.

After receiving the request, SageMaker AI does the following:

• Creates a network interface in the SageMaker AI VPC.

• (Option) If you specified SubnetId, SageMaker AI creates a network interface in your own VPC, which is inferred from the subnet ID that you provide in the input. When creating this network interface, SageMaker AI attaches the security group that you specified in the request to the network interface that it creates in your VPC.

• Launches an EC2 instance of the type specified in the request in the SageMaker AI VPC. If you specified SubnetId of your VPC, SageMaker AI specifies both network interfaces when launching this instance. This enables inbound traffic from your own VPC to the notebook instance, assuming that the security groups allow it.

After creating the notebook instance, SageMaker AI returns its Amazon Resource Name (ARN). You can't change the name of a notebook instance after you create it.

After SageMaker AI creates the notebook instance, you can connect to the Jupyter server and work in Jupyter notebooks. For example, you can write code to explore a dataset that you can use for model training, train a model, host models by creating SageMaker AI endpoints, and validate hosted models.

For more information, see How It Works.

See also: AWS API Documentation

Request Syntax

client.create_notebook_instance(
    NotebookInstanceName='string',
    InstanceType='ml.t2.medium'|'ml.t2.large'|'ml.t2.xlarge'|'ml.t2.2xlarge'|'ml.t3.medium'|'ml.t3.large'|'ml.t3.xlarge'|'ml.t3.2xlarge'|'ml.m4.xlarge'|'ml.m4.2xlarge'|'ml.m4.4xlarge'|'ml.m4.10xlarge'|'ml.m4.16xlarge'|'ml.m5.xlarge'|'ml.m5.2xlarge'|'ml.m5.4xlarge'|'ml.m5.12xlarge'|'ml.m5.24xlarge'|'ml.m5d.large'|'ml.m5d.xlarge'|'ml.m5d.2xlarge'|'ml.m5d.4xlarge'|'ml.m5d.8xlarge'|'ml.m5d.12xlarge'|'ml.m5d.16xlarge'|'ml.m5d.24xlarge'|'ml.c4.xlarge'|'ml.c4.2xlarge'|'ml.c4.4xlarge'|'ml.c4.8xlarge'|'ml.c5.xlarge'|'ml.c5.2xlarge'|'ml.c5.4xlarge'|'ml.c5.9xlarge'|'ml.c5.18xlarge'|'ml.c5d.xlarge'|'ml.c5d.2xlarge'|'ml.c5d.4xlarge'|'ml.c5d.9xlarge'|'ml.c5d.18xlarge'|'ml.p2.xlarge'|'ml.p2.8xlarge'|'ml.p2.16xlarge'|'ml.p3.2xlarge'|'ml.p3.8xlarge'|'ml.p3.16xlarge'|'ml.p3dn.24xlarge'|'ml.g4dn.xlarge'|'ml.g4dn.2xlarge'|'ml.g4dn.4xlarge'|'ml.g4dn.8xlarge'|'ml.g4dn.12xlarge'|'ml.g4dn.16xlarge'|'ml.r5.large'|'ml.r5.xlarge'|'ml.r5.2xlarge'|'ml.r5.4xlarge'|'ml.r5.8xlarge'|'ml.r5.12xlarge'|'ml.r5.16xlarge'|'ml.r5.24xlarge'|'ml.g5.xlarge'|'ml.g5.2xlarge'|'ml.g5.4xlarge'|'ml.g5.8xlarge'|'ml.g5.16xlarge'|'ml.g5.12xlarge'|'ml.g5.24xlarge'|'ml.g5.48xlarge'|'ml.inf1.xlarge'|'ml.inf1.2xlarge'|'ml.inf1.6xlarge'|'ml.inf1.24xlarge'|'ml.trn1.2xlarge'|'ml.trn1.32xlarge'|'ml.trn1n.32xlarge'|'ml.inf2.xlarge'|'ml.inf2.8xlarge'|'ml.inf2.24xlarge'|'ml.inf2.48xlarge'|'ml.p4d.24xlarge'|'ml.p4de.24xlarge'|'ml.p5.48xlarge'|'ml.p6-b200.48xlarge'|'ml.m6i.large'|'ml.m6i.xlarge'|'ml.m6i.2xlarge'|'ml.m6i.4xlarge'|'ml.m6i.8xlarge'|'ml.m6i.12xlarge'|'ml.m6i.16xlarge'|'ml.m6i.24xlarge'|'ml.m6i.32xlarge'|'ml.m7i.large'|'ml.m7i.xlarge'|'ml.m7i.2xlarge'|'ml.m7i.4xlarge'|'ml.m7i.8xlarge'|'ml.m7i.12xlarge'|'ml.m7i.16xlarge'|'ml.m7i.24xlarge'|'ml.m7i.48xlarge'|'ml.c6i.large'|'ml.c6i.xlarge'|'ml.c6i.2xlarge'|'ml.c6i.4xlarge'|'ml.c6i.8xlarge'|'ml.c6i.12xlarge'|'ml.c6i.16xlarge'|'ml.c6i.24xlarge'|'ml.c6i.32xlarge'|'ml.c7i.large'|'ml.c7i.xlarge'|'ml.c7i.2xlarge'|'ml.c7i.4xlarge'|'ml.c7i.8xlarge'|'ml.c7i.12xlarge'|'ml.c7i.16xlarge'|'ml.c7i.24xlarge'|'ml.c7i.48xlarge'|'ml.r6i.large'|'ml.r6i.xlarge'|'ml.r6i.2xlarge'|'ml.r6i.4xlarge'|'ml.r6i.8xlarge'|'ml.r6i.12xlarge'|'ml.r6i.16xlarge'|'ml.r6i.24xlarge'|'ml.r6i.32xlarge'|'ml.r7i.large'|'ml.r7i.xlarge'|'ml.r7i.2xlarge'|'ml.r7i.4xlarge'|'ml.r7i.8xlarge'|'ml.r7i.12xlarge'|'ml.r7i.16xlarge'|'ml.r7i.24xlarge'|'ml.r7i.48xlarge'|'ml.m6id.large'|'ml.m6id.xlarge'|'ml.m6id.2xlarge'|'ml.m6id.4xlarge'|'ml.m6id.8xlarge'|'ml.m6id.12xlarge'|'ml.m6id.16xlarge'|'ml.m6id.24xlarge'|'ml.m6id.32xlarge'|'ml.c6id.large'|'ml.c6id.xlarge'|'ml.c6id.2xlarge'|'ml.c6id.4xlarge'|'ml.c6id.8xlarge'|'ml.c6id.12xlarge'|'ml.c6id.16xlarge'|'ml.c6id.24xlarge'|'ml.c6id.32xlarge'|'ml.r6id.large'|'ml.r6id.xlarge'|'ml.r6id.2xlarge'|'ml.r6id.4xlarge'|'ml.r6id.8xlarge'|'ml.r6id.12xlarge'|'ml.r6id.16xlarge'|'ml.r6id.24xlarge'|'ml.r6id.32xlarge'|'ml.g6.xlarge'|'ml.g6.2xlarge'|'ml.g6.4xlarge'|'ml.g6.8xlarge'|'ml.g6.12xlarge'|'ml.g6.16xlarge'|'ml.g6.24xlarge'|'ml.g6.48xlarge',
    SubnetId='string',
    SecurityGroupIds=[
        'string',
    ],
    RoleArn='string',
    KmsKeyId='string',
    Tags=[
        {
            'Key': 'string',
            'Value': 'string'
        },
    ],
    LifecycleConfigName='string',
    DirectInternetAccess='Enabled'|'Disabled',
    VolumeSizeInGB=123,
    AcceleratorTypes=[
        'ml.eia1.medium'|'ml.eia1.large'|'ml.eia1.xlarge'|'ml.eia2.medium'|'ml.eia2.large'|'ml.eia2.xlarge',
    ],
    DefaultCodeRepository='string',
    AdditionalCodeRepositories=[
        'string',
    ],
    RootAccess='Enabled'|'Disabled',
    PlatformIdentifier='string',
    InstanceMetadataServiceConfiguration={
        'MinimumInstanceMetadataServiceVersion': 'string'
    }
)

type NotebookInstanceName:

string

param NotebookInstanceName:

[REQUIRED]

The name of the new notebook instance.

type InstanceType:

string

param InstanceType:

[REQUIRED]

The type of ML compute instance to launch for the notebook instance.

type SubnetId:

string

param SubnetId:

The ID of the subnet in a VPC to which you would like to have a connectivity from your ML compute instance.

type SecurityGroupIds:

list

param SecurityGroupIds:

The VPC security group IDs, in the form sg-xxxxxxxx. The security groups must be for the same VPC as specified in the subnet.

• (string) --

type RoleArn:

string

param RoleArn:

[REQUIRED]

When you send any requests to Amazon Web Services resources from the notebook instance, SageMaker AI assumes this role to perform tasks on your behalf. You must grant this role necessary permissions so SageMaker AI can perform these tasks. The policy must allow the SageMaker AI service principal (sagemaker.amazonaws.com) permissions to assume this role. For more information, see SageMaker AI Roles.

type KmsKeyId:

string

param KmsKeyId:

The Amazon Resource Name (ARN) of a Amazon Web Services Key Management Service key that SageMaker AI uses to encrypt data on the storage volume attached to your notebook instance. The KMS key you provide must be enabled. For information, see Enabling and Disabling Keys in the Amazon Web Services Key Management Service Developer Guide.

type Tags:

list

param Tags:

An array of key-value pairs. You can use tags to categorize your Amazon Web Services resources in different ways, for example, by purpose, owner, or environment. For more information, see Tagging Amazon Web Services Resources.

• (dict) --

  A tag object that consists of a key and an optional value, used to manage metadata for SageMaker Amazon Web Services resources.

  You can add tags to notebook instances, training jobs, hyperparameter tuning jobs, batch transform jobs, models, labeling jobs, work teams, endpoint configurations, and endpoints. For more information on adding tags to SageMaker resources, see AddTags.

  For more information on adding metadata to your Amazon Web Services resources with tagging, see Tagging Amazon Web Services resources. For advice on best practices for managing Amazon Web Services resources with tagging, see Tagging Best Practices: Implement an Effective Amazon Web Services Resource Tagging Strategy.

  • Key (string) -- [REQUIRED]

    The tag key. Tag keys must be unique per resource.

  • Value (string) -- [REQUIRED]

    The tag value.

type LifecycleConfigName:

string

param LifecycleConfigName:

The name of a lifecycle configuration to associate with the notebook instance. For information about lifestyle configurations, see Step 2.1: (Optional) Customize a Notebook Instance.

type DirectInternetAccess:

string

param DirectInternetAccess:

Sets whether SageMaker AI provides internet access to the notebook instance. If you set this to Disabled this notebook instance is able to access resources only in your VPC, and is not be able to connect to SageMaker AI training and endpoint services unless you configure a NAT Gateway in your VPC.

For more information, see Notebook Instances Are Internet-Enabled by Default. You can set the value of this parameter to Disabled only if you set a value for the SubnetId parameter.

type VolumeSizeInGB:

integer

param VolumeSizeInGB:

The size, in GB, of the ML storage volume to attach to the notebook instance. The default value is 5 GB.

type AcceleratorTypes:

list

param AcceleratorTypes:

This parameter is no longer supported. Elastic Inference (EI) is no longer available.

This parameter was used to specify a list of EI instance types to associate with this notebook instance.

• (string) --

type DefaultCodeRepository:

string

param DefaultCodeRepository:

A Git repository to associate with the notebook instance as its default code repository. This can be either the name of a Git repository stored as a resource in your account, or the URL of a Git repository in Amazon Web Services CodeCommit or in any other Git repository. When you open a notebook instance, it opens in the directory that contains this repository. For more information, see Associating Git Repositories with SageMaker AI Notebook Instances.

type AdditionalCodeRepositories:

list

param AdditionalCodeRepositories:

An array of up to three Git repositories to associate with the notebook instance. These can be either the names of Git repositories stored as resources in your account, or the URL of Git repositories in Amazon Web Services CodeCommit or in any other Git repository. These repositories are cloned at the same level as the default repository of your notebook instance. For more information, see Associating Git Repositories with SageMaker AI Notebook Instances.

• (string) --

type RootAccess:

string

param RootAccess:

Whether root access is enabled or disabled for users of the notebook instance. The default value is Enabled.

type PlatformIdentifier:

string

param PlatformIdentifier:

The platform identifier of the notebook instance runtime environment.

type InstanceMetadataServiceConfiguration:

dict

param InstanceMetadataServiceConfiguration:

Information on the IMDS configuration of the notebook instance

• MinimumInstanceMetadataServiceVersion (string) -- [REQUIRED]

  Indicates the minimum IMDS version that the notebook instance supports. When passed as part of CreateNotebookInstance, if no value is selected, then it defaults to IMDSv1. This means that both IMDSv1 and IMDSv2 are supported. If passed as part of UpdateNotebookInstance, there is no default.

rtype:

dict

returns:

Response Syntax

{
    'NotebookInstanceArn': 'string'
}

Response Structure

• (dict) --

  • NotebookInstanceArn (string) --

    The Amazon Resource Name (ARN) of the notebook instance.

{'DomainSettings': {'DockerSettings': {'RootlessDocker': 'ENABLED | DISABLED'}}}

The description of the domain.

See also: AWS API Documentation

Request Syntax

client.describe_domain(
    DomainId='string'
)

type DomainId:

string

param DomainId:

[REQUIRED]

The domain ID.

rtype:

dict

returns:

Response Syntax

{
    'DomainArn': 'string',
    'DomainId': 'string',
    'DomainName': 'string',
    'HomeEfsFileSystemId': 'string',
    'SingleSignOnManagedApplicationInstanceId': 'string',
    'SingleSignOnApplicationArn': 'string',
    'Status': 'Deleting'|'Failed'|'InService'|'Pending'|'Updating'|'Update_Failed'|'Delete_Failed',
    'CreationTime': datetime(2015, 1, 1),
    'LastModifiedTime': datetime(2015, 1, 1),
    'FailureReason': 'string',
    'SecurityGroupIdForDomainBoundary': 'string',
    'AuthMode': 'SSO'|'IAM',
    'DefaultUserSettings': {
        'ExecutionRole': 'string',
        'SecurityGroups': [
            'string',
        ],
        'SharingSettings': {
            'NotebookOutputOption': 'Allowed'|'Disabled',
            'S3OutputPath': 'string',
            'S3KmsKeyId': 'string'
        },
        'JupyterServerAppSettings': {
            'DefaultResourceSpec': {
                'SageMakerImageArn': 'string',
                'SageMakerImageVersionArn': 'string',
                'SageMakerImageVersionAlias': 'string',
                'InstanceType': 'system'|'ml.t3.micro'|'ml.t3.small'|'ml.t3.medium'|'ml.t3.large'|'ml.t3.xlarge'|'ml.t3.2xlarge'|'ml.m5.large'|'ml.m5.xlarge'|'ml.m5.2xlarge'|'ml.m5.4xlarge'|'ml.m5.8xlarge'|'ml.m5.12xlarge'|'ml.m5.16xlarge'|'ml.m5.24xlarge'|'ml.m5d.large'|'ml.m5d.xlarge'|'ml.m5d.2xlarge'|'ml.m5d.4xlarge'|'ml.m5d.8xlarge'|'ml.m5d.12xlarge'|'ml.m5d.16xlarge'|'ml.m5d.24xlarge'|'ml.c5.large'|'ml.c5.xlarge'|'ml.c5.2xlarge'|'ml.c5.4xlarge'|'ml.c5.9xlarge'|'ml.c5.12xlarge'|'ml.c5.18xlarge'|'ml.c5.24xlarge'|'ml.p3.2xlarge'|'ml.p3.8xlarge'|'ml.p3.16xlarge'|'ml.p3dn.24xlarge'|'ml.g4dn.xlarge'|'ml.g4dn.2xlarge'|'ml.g4dn.4xlarge'|'ml.g4dn.8xlarge'|'ml.g4dn.12xlarge'|'ml.g4dn.16xlarge'|'ml.r5.large'|'ml.r5.xlarge'|'ml.r5.2xlarge'|'ml.r5.4xlarge'|'ml.r5.8xlarge'|'ml.r5.12xlarge'|'ml.r5.16xlarge'|'ml.r5.24xlarge'|'ml.g5.xlarge'|'ml.g5.2xlarge'|'ml.g5.4xlarge'|'ml.g5.8xlarge'|'ml.g5.16xlarge'|'ml.g5.12xlarge'|'ml.g5.24xlarge'|'ml.g5.48xlarge'|'ml.g6.xlarge'|'ml.g6.2xlarge'|'ml.g6.4xlarge'|'ml.g6.8xlarge'|'ml.g6.12xlarge'|'ml.g6.16xlarge'|'ml.g6.24xlarge'|'ml.g6.48xlarge'|'ml.g6e.xlarge'|'ml.g6e.2xlarge'|'ml.g6e.4xlarge'|'ml.g6e.8xlarge'|'ml.g6e.12xlarge'|'ml.g6e.16xlarge'|'ml.g6e.24xlarge'|'ml.g6e.48xlarge'|'ml.geospatial.interactive'|'ml.p4d.24xlarge'|'ml.p4de.24xlarge'|'ml.trn1.2xlarge'|'ml.trn1.32xlarge'|'ml.trn1n.32xlarge'|'ml.p5.48xlarge'|'ml.p5en.48xlarge'|'ml.m6i.large'|'ml.m6i.xlarge'|'ml.m6i.2xlarge'|'ml.m6i.4xlarge'|'ml.m6i.8xlarge'|'ml.m6i.12xlarge'|'ml.m6i.16xlarge'|'ml.m6i.24xlarge'|'ml.m6i.32xlarge'|'ml.m7i.large'|'ml.m7i.xlarge'|'ml.m7i.2xlarge'|'ml.m7i.4xlarge'|'ml.m7i.8xlarge'|'ml.m7i.12xlarge'|'ml.m7i.16xlarge'|'ml.m7i.24xlarge'|'ml.m7i.48xlarge'|'ml.c6i.large'|'ml.c6i.xlarge'|'ml.c6i.2xlarge'|'ml.c6i.4xlarge'|'ml.c6i.8xlarge'|'ml.c6i.12xlarge'|'ml.c6i.16xlarge'|'ml.c6i.24xlarge'|'ml.c6i.32xlarge'|'ml.c7i.large'|'ml.c7i.xlarge'|'ml.c7i.2xlarge'|'ml.c7i.4xlarge'|'ml.c7i.8xlarge'|'ml.c7i.12xlarge'|'ml.c7i.16xlarge'|'ml.c7i.24xlarge'|'ml.c7i.48xlarge'|'ml.r6i.large'|'ml.r6i.xlarge'|'ml.r6i.2xlarge'|'ml.r6i.4xlarge'|'ml.r6i.8xlarge'|'ml.r6i.12xlarge'|'ml.r6i.16xlarge'|'ml.r6i.24xlarge'|'ml.r6i.32xlarge'|'ml.r7i.large'|'ml.r7i.xlarge'|'ml.r7i.2xlarge'|'ml.r7i.4xlarge'|'ml.r7i.8xlarge'|'ml.r7i.12xlarge'|'ml.r7i.16xlarge'|'ml.r7i.24xlarge'|'ml.r7i.48xlarge'|'ml.m6id.large'|'ml.m6id.xlarge'|'ml.m6id.2xlarge'|'ml.m6id.4xlarge'|'ml.m6id.8xlarge'|'ml.m6id.12xlarge'|'ml.m6id.16xlarge'|'ml.m6id.24xlarge'|'ml.m6id.32xlarge'|'ml.c6id.large'|'ml.c6id.xlarge'|'ml.c6id.2xlarge'|'ml.c6id.4xlarge'|'ml.c6id.8xlarge'|'ml.c6id.12xlarge'|'ml.c6id.16xlarge'|'ml.c6id.24xlarge'|'ml.c6id.32xlarge'|'ml.r6id.large'|'ml.r6id.xlarge'|'ml.r6id.2xlarge'|'ml.r6id.4xlarge'|'ml.r6id.8xlarge'|'ml.r6id.12xlarge'|'ml.r6id.16xlarge'|'ml.r6id.24xlarge'|'ml.r6id.32xlarge',
                'LifecycleConfigArn': 'string'
            },
            'LifecycleConfigArns': [
                'string',
            ],
            'CodeRepositories': [
                {
                    'RepositoryUrl': 'string'
                },
            ]
        },
        'KernelGatewayAppSettings': {
            'DefaultResourceSpec': {
                'SageMakerImageArn': 'string',
                'SageMakerImageVersionArn': 'string',
                'SageMakerImageVersionAlias': 'string',
                'InstanceType': 'system'|'ml.t3.micro'|'ml.t3.small'|'ml.t3.medium'|'ml.t3.large'|'ml.t3.xlarge'|'ml.t3.2xlarge'|'ml.m5.large'|'ml.m5.xlarge'|'ml.m5.2xlarge'|'ml.m5.4xlarge'|'ml.m5.8xlarge'|'ml.m5.12xlarge'|'ml.m5.16xlarge'|'ml.m5.24xlarge'|'ml.m5d.large'|'ml.m5d.xlarge'|'ml.m5d.2xlarge'|'ml.m5d.4xlarge'|'ml.m5d.8xlarge'|'ml.m5d.12xlarge'|'ml.m5d.16xlarge'|'ml.m5d.24xlarge'|'ml.c5.large'|'ml.c5.xlarge'|'ml.c5.2xlarge'|'ml.c5.4xlarge'|'ml.c5.9xlarge'|'ml.c5.12xlarge'|'ml.c5.18xlarge'|'ml.c5.24xlarge'|'ml.p3.2xlarge'|'ml.p3.8xlarge'|'ml.p3.16xlarge'|'ml.p3dn.24xlarge'|'ml.g4dn.xlarge'|'ml.g4dn.2xlarge'|'ml.g4dn.4xlarge'|'ml.g4dn.8xlarge'|'ml.g4dn.12xlarge'|'ml.g4dn.16xlarge'|'ml.r5.large'|'ml.r5.xlarge'|'ml.r5.2xlarge'|'ml.r5.4xlarge'|'ml.r5.8xlarge'|'ml.r5.12xlarge'|'ml.r5.16xlarge'|'ml.r5.24xlarge'|'ml.g5.xlarge'|'ml.g5.2xlarge'|'ml.g5.4xlarge'|'ml.g5.8xlarge'|'ml.g5.16xlarge'|'ml.g5.12xlarge'|'ml.g5.24xlarge'|'ml.g5.48xlarge'|'ml.g6.xlarge'|'ml.g6.2xlarge'|'ml.g6.4xlarge'|'ml.g6.8xlarge'|'ml.g6.12xlarge'|'ml.g6.16xlarge'|'ml.g6.24xlarge'|'ml.g6.48xlarge'|'ml.g6e.xlarge'|'ml.g6e.2xlarge'|'ml.g6e.4xlarge'|'ml.g6e.8xlarge'|'ml.g6e.12xlarge'|'ml.g6e.16xlarge'|'ml.g6e.24xlarge'|'ml.g6e.48xlarge'|'ml.geospatial.interactive'|'ml.p4d.24xlarge'|'ml.p4de.24xlarge'|'ml.trn1.2xlarge'|'ml.trn1.32xlarge'|'ml.trn1n.32xlarge'|'ml.p5.48xlarge'|'ml.p5en.48xlarge'|'ml.m6i.large'|'ml.m6i.xlarge'|'ml.m6i.2xlarge'|'ml.m6i.4xlarge'|'ml.m6i.8xlarge'|'ml.m6i.12xlarge'|'ml.m6i.16xlarge'|'ml.m6i.24xlarge'|'ml.m6i.32xlarge'|'ml.m7i.large'|'ml.m7i.xlarge'|'ml.m7i.2xlarge'|'ml.m7i.4xlarge'|'ml.m7i.8xlarge'|'ml.m7i.12xlarge'|'ml.m7i.16xlarge'|'ml.m7i.24xlarge'|'ml.m7i.48xlarge'|'ml.c6i.large'|'ml.c6i.xlarge'|'ml.c6i.2xlarge'|'ml.c6i.4xlarge'|'ml.c6i.8xlarge'|'ml.c6i.12xlarge'|'ml.c6i.16xlarge'|'ml.c6i.24xlarge'|'ml.c6i.32xlarge'|'ml.c7i.large'|'ml.c7i.xlarge'|'ml.c7i.2xlarge'|'ml.c7i.4xlarge'|'ml.c7i.8xlarge'|'ml.c7i.12xlarge'|'ml.c7i.16xlarge'|'ml.c7i.24xlarge'|'ml.c7i.48xlarge'|'ml.r6i.large'|'ml.r6i.xlarge'|'ml.r6i.2xlarge'|'ml.r6i.4xlarge'|'ml.r6i.8xlarge'|'ml.r6i.12xlarge'|'ml.r6i.16xlarge'|'ml.r6i.24xlarge'|'ml.r6i.32xlarge'|'ml.r7i.large'|'ml.r7i.xlarge'|'ml.r7i.2xlarge'|'ml.r7i.4xlarge'|'ml.r7i.8xlarge'|'ml.r7i.12xlarge'|'ml.r7i.16xlarge'|'ml.r7i.24xlarge'|'ml.r7i.48xlarge'|'ml.m6id.large'|'ml.m6id.xlarge'|'ml.m6id.2xlarge'|'ml.m6id.4xlarge'|'ml.m6id.8xlarge'|'ml.m6id.12xlarge'|'ml.m6id.16xlarge'|'ml.m6id.24xlarge'|'ml.m6id.32xlarge'|'ml.c6id.large'|'ml.c6id.xlarge'|'ml.c6id.2xlarge'|'ml.c6id.4xlarge'|'ml.c6id.8xlarge'|'ml.c6id.12xlarge'|'ml.c6id.16xlarge'|'ml.c6id.24xlarge'|'ml.c6id.32xlarge'|'ml.r6id.large'|'ml.r6id.xlarge'|'ml.r6id.2xlarge'|'ml.r6id.4xlarge'|'ml.r6id.8xlarge'|'ml.r6id.12xlarge'|'ml.r6id.16xlarge'|'ml.r6id.24xlarge'|'ml.r6id.32xlarge',
                'LifecycleConfigArn': 'string'
            },
            'CustomImages': [
                {
                    'ImageName': 'string',
                    'ImageVersionNumber': 123,
                    'AppImageConfigName': 'string'
                },
            ],
            'LifecycleConfigArns': [
                'string',
            ]
        },
        'TensorBoardAppSettings': {
            'DefaultResourceSpec': {
                'SageMakerImageArn': 'string',
                'SageMakerImageVersionArn': 'string',
                'SageMakerImageVersionAlias': 'string',
                'InstanceType': 'system'|'ml.t3.micro'|'ml.t3.small'|'ml.t3.medium'|'ml.t3.large'|'ml.t3.xlarge'|'ml.t3.2xlarge'|'ml.m5.large'|'ml.m5.xlarge'|'ml.m5.2xlarge'|'ml.m5.4xlarge'|'ml.m5.8xlarge'|'ml.m5.12xlarge'|'ml.m5.16xlarge'|'ml.m5.24xlarge'|'ml.m5d.large'|'ml.m5d.xlarge'|'ml.m5d.2xlarge'|'ml.m5d.4xlarge'|'ml.m5d.8xlarge'|'ml.m5d.12xlarge'|'ml.m5d.16xlarge'|'ml.m5d.24xlarge'|'ml.c5.large'|'ml.c5.xlarge'|'ml.c5.2xlarge'|'ml.c5.4xlarge'|'ml.c5.9xlarge'|'ml.c5.12xlarge'|'ml.c5.18xlarge'|'ml.c5.24xlarge'|'ml.p3.2xlarge'|'ml.p3.8xlarge'|'ml.p3.16xlarge'|'ml.p3dn.24xlarge'|'ml.g4dn.xlarge'|'ml.g4dn.2xlarge'|'ml.g4dn.4xlarge'|'ml.g4dn.8xlarge'|'ml.g4dn.12xlarge'|'ml.g4dn.16xlarge'|'ml.r5.large'|'ml.r5.xlarge'|'ml.r5.2xlarge'|'ml.r5.4xlarge'|'ml.r5.8xlarge'|'ml.r5.12xlarge'|'ml.r5.16xlarge'|'ml.r5.24xlarge'|'ml.g5.xlarge'|'ml.g5.2xlarge'|'ml.g5.4xlarge'|'ml.g5.8xlarge'|'ml.g5.16xlarge'|'ml.g5.12xlarge'|'ml.g5.24xlarge'|'ml.g5.48xlarge'|'ml.g6.xlarge'|'ml.g6.2xlarge'|'ml.g6.4xlarge'|'ml.g6.8xlarge'|'ml.g6.12xlarge'|'ml.g6.16xlarge'|'ml.g6.24xlarge'|'ml.g6.48xlarge'|'ml.g6e.xlarge'|'ml.g6e.2xlarge'|'ml.g6e.4xlarge'|'ml.g6e.8xlarge'|'ml.g6e.12xlarge'|'ml.g6e.16xlarge'|'ml.g6e.24xlarge'|'ml.g6e.48xlarge'|'ml.geospatial.interactive'|'ml.p4d.24xlarge'|'ml.p4de.24xlarge'|'ml.trn1.2xlarge'|'ml.trn1.32xlarge'|'ml.trn1n.32xlarge'|'ml.p5.48xlarge'|'ml.p5en.48xlarge'|'ml.m6i.large'|'ml.m6i.xlarge'|'ml.m6i.2xlarge'|'ml.m6i.4xlarge'|'ml.m6i.8xlarge'|'ml.m6i.12xlarge'|'ml.m6i.16xlarge'|'ml.m6i.24xlarge'|'ml.m6i.32xlarge'|'ml.m7i.large'|'ml.m7i.xlarge'|'ml.m7i.2xlarge'|'ml.m7i.4xlarge'|'ml.m7i.8xlarge'|'ml.m7i.12xlarge'|'ml.m7i.16xlarge'|'ml.m7i.24xlarge'|'ml.m7i.48xlarge'|'ml.c6i.large'|'ml.c6i.xlarge'|'ml.c6i.2xlarge'|'ml.c6i.4xlarge'|'ml.c6i.8xlarge'|'ml.c6i.12xlarge'|'ml.c6i.16xlarge'|'ml.c6i.24xlarge'|'ml.c6i.32xlarge'|'ml.c7i.large'|'ml.c7i.xlarge'|'ml.c7i.2xlarge'|'ml.c7i.4xlarge'|'ml.c7i.8xlarge'|'ml.c7i.12xlarge'|'ml.c7i.16xlarge'|'ml.c7i.24xlarge'|'ml.c7i.48xlarge'|'ml.r6i.large'|'ml.r6i.xlarge'|'ml.r6i.2xlarge'|'ml.r6i.4xlarge'|'ml.r6i.8xlarge'|'ml.r6i.12xlarge'|'ml.r6i.16xlarge'|'ml.r6i.24xlarge'|'ml.r6i.32xlarge'|'ml.r7i.large'|'ml.r7i.xlarge'|'ml.r7i.2xlarge'|'ml.r7i.4xlarge'|'ml.r7i.8xlarge'|'ml.r7i.12xlarge'|'ml.r7i.16xlarge'|'ml.r7i.24xlarge'|'ml.r7i.48xlarge'|'ml.m6id.large'|'ml.m6id.xlarge'|'ml.m6id.2xlarge'|'ml.m6id.4xlarge'|'ml.m6id.8xlarge'|'ml.m6id.12xlarge'|'ml.m6id.16xlarge'|'ml.m6id.24xlarge'|'ml.m6id.32xlarge'|'ml.c6id.large'|'ml.c6id.xlarge'|'ml.c6id.2xlarge'|'ml.c6id.4xlarge'|'ml.c6id.8xlarge'|'ml.c6id.12xlarge'|'ml.c6id.16xlarge'|'ml.c6id.24xlarge'|'ml.c6id.32xlarge'|'ml.r6id.large'|'ml.r6id.xlarge'|'ml.r6id.2xlarge'|'ml.r6id.4xlarge'|'ml.r6id.8xlarge'|'ml.r6id.12xlarge'|'ml.r6id.16xlarge'|'ml.r6id.24xlarge'|'ml.r6id.32xlarge',
                'LifecycleConfigArn': 'string'
            }
        },
        'RStudioServerProAppSettings': {
            'AccessStatus': 'ENABLED'|'DISABLED',
            'UserGroup': 'R_STUDIO_ADMIN'|'R_STUDIO_USER'
        },
        'RSessionAppSettings': {
            'DefaultResourceSpec': {
                'SageMakerImageArn': 'string',
                'SageMakerImageVersionArn': 'string',
                'SageMakerImageVersionAlias': 'string',
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            ],
            'HiddenSageMakerImageVersionAliases': [
                {
                    'SageMakerImageName': 'sagemaker_distribution',
                    'VersionAliases': [
                        'string',
                    ]
                },
            ]
        },
        'AutoMountHomeEFS': 'Enabled'|'Disabled'|'DefaultAsDomain'
    },
    'DomainSettings': {
        'SecurityGroupIds': [
            'string',
        ],
        'RStudioServerProDomainSettings': {
            'DomainExecutionRoleArn': 'string',
            'RStudioConnectUrl': 'string',
            'RStudioPackageManagerUrl': 'string',
            'DefaultResourceSpec': {
                'SageMakerImageArn': 'string',
                'SageMakerImageVersionArn': 'string',
                'SageMakerImageVersionAlias': 'string',
                'InstanceType': 'system'|'ml.t3.micro'|'ml.t3.small'|'ml.t3.medium'|'ml.t3.large'|'ml.t3.xlarge'|'ml.t3.2xlarge'|'ml.m5.large'|'ml.m5.xlarge'|'ml.m5.2xlarge'|'ml.m5.4xlarge'|'ml.m5.8xlarge'|'ml.m5.12xlarge'|'ml.m5.16xlarge'|'ml.m5.24xlarge'|'ml.m5d.large'|'ml.m5d.xlarge'|'ml.m5d.2xlarge'|'ml.m5d.4xlarge'|'ml.m5d.8xlarge'|'ml.m5d.12xlarge'|'ml.m5d.16xlarge'|'ml.m5d.24xlarge'|'ml.c5.large'|'ml.c5.xlarge'|'ml.c5.2xlarge'|'ml.c5.4xlarge'|'ml.c5.9xlarge'|'ml.c5.12xlarge'|'ml.c5.18xlarge'|'ml.c5.24xlarge'|'ml.p3.2xlarge'|'ml.p3.8xlarge'|'ml.p3.16xlarge'|'ml.p3dn.24xlarge'|'ml.g4dn.xlarge'|'ml.g4dn.2xlarge'|'ml.g4dn.4xlarge'|'ml.g4dn.8xlarge'|'ml.g4dn.12xlarge'|'ml.g4dn.16xlarge'|'ml.r5.large'|'ml.r5.xlarge'|'ml.r5.2xlarge'|'ml.r5.4xlarge'|'ml.r5.8xlarge'|'ml.r5.12xlarge'|'ml.r5.16xlarge'|'ml.r5.24xlarge'|'ml.g5.xlarge'|'ml.g5.2xlarge'|'ml.g5.4xlarge'|'ml.g5.8xlarge'|'ml.g5.16xlarge'|'ml.g5.12xlarge'|'ml.g5.24xlarge'|'ml.g5.48xlarge'|'ml.g6.xlarge'|'ml.g6.2xlarge'|'ml.g6.4xlarge'|'ml.g6.8xlarge'|'ml.g6.12xlarge'|'ml.g6.16xlarge'|'ml.g6.24xlarge'|'ml.g6.48xlarge'|'ml.g6e.xlarge'|'ml.g6e.2xlarge'|'ml.g6e.4xlarge'|'ml.g6e.8xlarge'|'ml.g6e.12xlarge'|'ml.g6e.16xlarge'|'ml.g6e.24xlarge'|'ml.g6e.48xlarge'|'ml.geospatial.interactive'|'ml.p4d.24xlarge'|'ml.p4de.24xlarge'|'ml.trn1.2xlarge'|'ml.trn1.32xlarge'|'ml.trn1n.32xlarge'|'ml.p5.48xlarge'|'ml.p5en.48xlarge'|'ml.m6i.large'|'ml.m6i.xlarge'|'ml.m6i.2xlarge'|'ml.m6i.4xlarge'|'ml.m6i.8xlarge'|'ml.m6i.12xlarge'|'ml.m6i.16xlarge'|'ml.m6i.24xlarge'|'ml.m6i.32xlarge'|'ml.m7i.large'|'ml.m7i.xlarge'|'ml.m7i.2xlarge'|'ml.m7i.4xlarge'|'ml.m7i.8xlarge'|'ml.m7i.12xlarge'|'ml.m7i.16xlarge'|'ml.m7i.24xlarge'|'ml.m7i.48xlarge'|'ml.c6i.large'|'ml.c6i.xlarge'|'ml.c6i.2xlarge'|'ml.c6i.4xlarge'|'ml.c6i.8xlarge'|'ml.c6i.12xlarge'|'ml.c6i.16xlarge'|'ml.c6i.24xlarge'|'ml.c6i.32xlarge'|'ml.c7i.large'|'ml.c7i.xlarge'|'ml.c7i.2xlarge'|'ml.c7i.4xlarge'|'ml.c7i.8xlarge'|'ml.c7i.12xlarge'|'ml.c7i.16xlarge'|'ml.c7i.24xlarge'|'ml.c7i.48xlarge'|'ml.r6i.large'|'ml.r6i.xlarge'|'ml.r6i.2xlarge'|'ml.r6i.4xlarge'|'ml.r6i.8xlarge'|'ml.r6i.12xlarge'|'ml.r6i.16xlarge'|'ml.r6i.24xlarge'|'ml.r6i.32xlarge'|'ml.r7i.large'|'ml.r7i.xlarge'|'ml.r7i.2xlarge'|'ml.r7i.4xlarge'|'ml.r7i.8xlarge'|'ml.r7i.12xlarge'|'ml.r7i.16xlarge'|'ml.r7i.24xlarge'|'ml.r7i.48xlarge'|'ml.m6id.large'|'ml.m6id.xlarge'|'ml.m6id.2xlarge'|'ml.m6id.4xlarge'|'ml.m6id.8xlarge'|'ml.m6id.12xlarge'|'ml.m6id.16xlarge'|'ml.m6id.24xlarge'|'ml.m6id.32xlarge'|'ml.c6id.large'|'ml.c6id.xlarge'|'ml.c6id.2xlarge'|'ml.c6id.4xlarge'|'ml.c6id.8xlarge'|'ml.c6id.12xlarge'|'ml.c6id.16xlarge'|'ml.c6id.24xlarge'|'ml.c6id.32xlarge'|'ml.r6id.large'|'ml.r6id.xlarge'|'ml.r6id.2xlarge'|'ml.r6id.4xlarge'|'ml.r6id.8xlarge'|'ml.r6id.12xlarge'|'ml.r6id.16xlarge'|'ml.r6id.24xlarge'|'ml.r6id.32xlarge',
                'LifecycleConfigArn': 'string'
            }
        },
        'ExecutionRoleIdentityConfig': 'USER_PROFILE_NAME'|'DISABLED',
        'TrustedIdentityPropagationSettings': {
            'Status': 'ENABLED'|'DISABLED'
        },
        'DockerSettings': {
            'EnableDockerAccess': 'ENABLED'|'DISABLED',
            'VpcOnlyTrustedAccounts': [
                'string',
            ],
            'RootlessDocker': 'ENABLED'|'DISABLED'
        },
        'AmazonQSettings': {
            'Status': 'ENABLED'|'DISABLED',
            'QProfileArn': 'string'
        },
        'UnifiedStudioSettings': {
            'StudioWebPortalAccess': 'ENABLED'|'DISABLED',
            'DomainAccountId': 'string',
            'DomainRegion': 'string',
            'DomainId': 'string',
            'ProjectId': 'string',
            'EnvironmentId': 'string',
            'ProjectS3Path': 'string',
            'SingleSignOnApplicationArn': 'string'
        }
    },
    'AppNetworkAccessType': 'PublicInternetOnly'|'VpcOnly',
    'HomeEfsFileSystemKmsKeyId': 'string',
    'SubnetIds': [
        'string',
    ],
    'Url': 'string',
    'VpcId': 'string',
    'KmsKeyId': 'string',
    'AppSecurityGroupManagement': 'Service'|'Customer',
    'TagPropagation': 'ENABLED'|'DISABLED',
    'DefaultSpaceSettings': {
        'ExecutionRole': 'string',
        'SecurityGroups': [
            'string',
        ],
        'JupyterServerAppSettings': {
            'DefaultResourceSpec': {
                'SageMakerImageArn': 'string',
                'SageMakerImageVersionArn': 'string',
                'SageMakerImageVersionAlias': 'string',
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                'LifecycleConfigArn': 'string'
            },
            'LifecycleConfigArns': [
                'string',
            ],
            'CodeRepositories': [
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                },
            ]
        },
        'KernelGatewayAppSettings': {
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                'SageMakerImageArn': 'string',
                'SageMakerImageVersionArn': 'string',
                'SageMakerImageVersionAlias': 'string',
                'InstanceType': 'system'|'ml.t3.micro'|'ml.t3.small'|'ml.t3.medium'|'ml.t3.large'|'ml.t3.xlarge'|'ml.t3.2xlarge'|'ml.m5.large'|'ml.m5.xlarge'|'ml.m5.2xlarge'|'ml.m5.4xlarge'|'ml.m5.8xlarge'|'ml.m5.12xlarge'|'ml.m5.16xlarge'|'ml.m5.24xlarge'|'ml.m5d.large'|'ml.m5d.xlarge'|'ml.m5d.2xlarge'|'ml.m5d.4xlarge'|'ml.m5d.8xlarge'|'ml.m5d.12xlarge'|'ml.m5d.16xlarge'|'ml.m5d.24xlarge'|'ml.c5.large'|'ml.c5.xlarge'|'ml.c5.2xlarge'|'ml.c5.4xlarge'|'ml.c5.9xlarge'|'ml.c5.12xlarge'|'ml.c5.18xlarge'|'ml.c5.24xlarge'|'ml.p3.2xlarge'|'ml.p3.8xlarge'|'ml.p3.16xlarge'|'ml.p3dn.24xlarge'|'ml.g4dn.xlarge'|'ml.g4dn.2xlarge'|'ml.g4dn.4xlarge'|'ml.g4dn.8xlarge'|'ml.g4dn.12xlarge'|'ml.g4dn.16xlarge'|'ml.r5.large'|'ml.r5.xlarge'|'ml.r5.2xlarge'|'ml.r5.4xlarge'|'ml.r5.8xlarge'|'ml.r5.12xlarge'|'ml.r5.16xlarge'|'ml.r5.24xlarge'|'ml.g5.xlarge'|'ml.g5.2xlarge'|'ml.g5.4xlarge'|'ml.g5.8xlarge'|'ml.g5.16xlarge'|'ml.g5.12xlarge'|'ml.g5.24xlarge'|'ml.g5.48xlarge'|'ml.g6.xlarge'|'ml.g6.2xlarge'|'ml.g6.4xlarge'|'ml.g6.8xlarge'|'ml.g6.12xlarge'|'ml.g6.16xlarge'|'ml.g6.24xlarge'|'ml.g6.48xlarge'|'ml.g6e.xlarge'|'ml.g6e.2xlarge'|'ml.g6e.4xlarge'|'ml.g6e.8xlarge'|'ml.g6e.12xlarge'|'ml.g6e.16xlarge'|'ml.g6e.24xlarge'|'ml.g6e.48xlarge'|'ml.geospatial.interactive'|'ml.p4d.24xlarge'|'ml.p4de.24xlarge'|'ml.trn1.2xlarge'|'ml.trn1.32xlarge'|'ml.trn1n.32xlarge'|'ml.p5.48xlarge'|'ml.p5en.48xlarge'|'ml.m6i.large'|'ml.m6i.xlarge'|'ml.m6i.2xlarge'|'ml.m6i.4xlarge'|'ml.m6i.8xlarge'|'ml.m6i.12xlarge'|'ml.m6i.16xlarge'|'ml.m6i.24xlarge'|'ml.m6i.32xlarge'|'ml.m7i.large'|'ml.m7i.xlarge'|'ml.m7i.2xlarge'|'ml.m7i.4xlarge'|'ml.m7i.8xlarge'|'ml.m7i.12xlarge'|'ml.m7i.16xlarge'|'ml.m7i.24xlarge'|'ml.m7i.48xlarge'|'ml.c6i.large'|'ml.c6i.xlarge'|'ml.c6i.2xlarge'|'ml.c6i.4xlarge'|'ml.c6i.8xlarge'|'ml.c6i.12xlarge'|'ml.c6i.16xlarge'|'ml.c6i.24xlarge'|'ml.c6i.32xlarge'|'ml.c7i.large'|'ml.c7i.xlarge'|'ml.c7i.2xlarge'|'ml.c7i.4xlarge'|'ml.c7i.8xlarge'|'ml.c7i.12xlarge'|'ml.c7i.16xlarge'|'ml.c7i.24xlarge'|'ml.c7i.48xlarge'|'ml.r6i.large'|'ml.r6i.xlarge'|'ml.r6i.2xlarge'|'ml.r6i.4xlarge'|'ml.r6i.8xlarge'|'ml.r6i.12xlarge'|'ml.r6i.16xlarge'|'ml.r6i.24xlarge'|'ml.r6i.32xlarge'|'ml.r7i.large'|'ml.r7i.xlarge'|'ml.r7i.2xlarge'|'ml.r7i.4xlarge'|'ml.r7i.8xlarge'|'ml.r7i.12xlarge'|'ml.r7i.16xlarge'|'ml.r7i.24xlarge'|'ml.r7i.48xlarge'|'ml.m6id.large'|'ml.m6id.xlarge'|'ml.m6id.2xlarge'|'ml.m6id.4xlarge'|'ml.m6id.8xlarge'|'ml.m6id.12xlarge'|'ml.m6id.16xlarge'|'ml.m6id.24xlarge'|'ml.m6id.32xlarge'|'ml.c6id.large'|'ml.c6id.xlarge'|'ml.c6id.2xlarge'|'ml.c6id.4xlarge'|'ml.c6id.8xlarge'|'ml.c6id.12xlarge'|'ml.c6id.16xlarge'|'ml.c6id.24xlarge'|'ml.c6id.32xlarge'|'ml.r6id.large'|'ml.r6id.xlarge'|'ml.r6id.2xlarge'|'ml.r6id.4xlarge'|'ml.r6id.8xlarge'|'ml.r6id.12xlarge'|'ml.r6id.16xlarge'|'ml.r6id.24xlarge'|'ml.r6id.32xlarge',
                'LifecycleConfigArn': 'string'
            },
            'CustomImages': [
                {
                    'ImageName': 'string',
                    'ImageVersionNumber': 123,
                    'AppImageConfigName': 'string'
                },
            ],
            'LifecycleConfigArns': [
                'string',
            ]
        },
        'JupyterLabAppSettings': {
            'DefaultResourceSpec': {
                'SageMakerImageArn': 'string',
                'SageMakerImageVersionArn': 'string',
                'SageMakerImageVersionAlias': 'string',
                'InstanceType': 'system'|'ml.t3.micro'|'ml.t3.small'|'ml.t3.medium'|'ml.t3.large'|'ml.t3.xlarge'|'ml.t3.2xlarge'|'ml.m5.large'|'ml.m5.xlarge'|'ml.m5.2xlarge'|'ml.m5.4xlarge'|'ml.m5.8xlarge'|'ml.m5.12xlarge'|'ml.m5.16xlarge'|'ml.m5.24xlarge'|'ml.m5d.large'|'ml.m5d.xlarge'|'ml.m5d.2xlarge'|'ml.m5d.4xlarge'|'ml.m5d.8xlarge'|'ml.m5d.12xlarge'|'ml.m5d.16xlarge'|'ml.m5d.24xlarge'|'ml.c5.large'|'ml.c5.xlarge'|'ml.c5.2xlarge'|'ml.c5.4xlarge'|'ml.c5.9xlarge'|'ml.c5.12xlarge'|'ml.c5.18xlarge'|'ml.c5.24xlarge'|'ml.p3.2xlarge'|'ml.p3.8xlarge'|'ml.p3.16xlarge'|'ml.p3dn.24xlarge'|'ml.g4dn.xlarge'|'ml.g4dn.2xlarge'|'ml.g4dn.4xlarge'|'ml.g4dn.8xlarge'|'ml.g4dn.12xlarge'|'ml.g4dn.16xlarge'|'ml.r5.large'|'ml.r5.xlarge'|'ml.r5.2xlarge'|'ml.r5.4xlarge'|'ml.r5.8xlarge'|'ml.r5.12xlarge'|'ml.r5.16xlarge'|'ml.r5.24xlarge'|'ml.g5.xlarge'|'ml.g5.2xlarge'|'ml.g5.4xlarge'|'ml.g5.8xlarge'|'ml.g5.16xlarge'|'ml.g5.12xlarge'|'ml.g5.24xlarge'|'ml.g5.48xlarge'|'ml.g6.xlarge'|'ml.g6.2xlarge'|'ml.g6.4xlarge'|'ml.g6.8xlarge'|'ml.g6.12xlarge'|'ml.g6.16xlarge'|'ml.g6.24xlarge'|'ml.g6.48xlarge'|'ml.g6e.xlarge'|'ml.g6e.2xlarge'|'ml.g6e.4xlarge'|'ml.g6e.8xlarge'|'ml.g6e.12xlarge'|'ml.g6e.16xlarge'|'ml.g6e.24xlarge'|'ml.g6e.48xlarge'|'ml.geospatial.interactive'|'ml.p4d.24xlarge'|'ml.p4de.24xlarge'|'ml.trn1.2xlarge'|'ml.trn1.32xlarge'|'ml.trn1n.32xlarge'|'ml.p5.48xlarge'|'ml.p5en.48xlarge'|'ml.m6i.large'|'ml.m6i.xlarge'|'ml.m6i.2xlarge'|'ml.m6i.4xlarge'|'ml.m6i.8xlarge'|'ml.m6i.12xlarge'|'ml.m6i.16xlarge'|'ml.m6i.24xlarge'|'ml.m6i.32xlarge'|'ml.m7i.large'|'ml.m7i.xlarge'|'ml.m7i.2xlarge'|'ml.m7i.4xlarge'|'ml.m7i.8xlarge'|'ml.m7i.12xlarge'|'ml.m7i.16xlarge'|'ml.m7i.24xlarge'|'ml.m7i.48xlarge'|'ml.c6i.large'|'ml.c6i.xlarge'|'ml.c6i.2xlarge'|'ml.c6i.4xlarge'|'ml.c6i.8xlarge'|'ml.c6i.12xlarge'|'ml.c6i.16xlarge'|'ml.c6i.24xlarge'|'ml.c6i.32xlarge'|'ml.c7i.large'|'ml.c7i.xlarge'|'ml.c7i.2xlarge'|'ml.c7i.4xlarge'|'ml.c7i.8xlarge'|'ml.c7i.12xlarge'|'ml.c7i.16xlarge'|'ml.c7i.24xlarge'|'ml.c7i.48xlarge'|'ml.r6i.large'|'ml.r6i.xlarge'|'ml.r6i.2xlarge'|'ml.r6i.4xlarge'|'ml.r6i.8xlarge'|'ml.r6i.12xlarge'|'ml.r6i.16xlarge'|'ml.r6i.24xlarge'|'ml.r6i.32xlarge'|'ml.r7i.large'|'ml.r7i.xlarge'|'ml.r7i.2xlarge'|'ml.r7i.4xlarge'|'ml.r7i.8xlarge'|'ml.r7i.12xlarge'|'ml.r7i.16xlarge'|'ml.r7i.24xlarge'|'ml.r7i.48xlarge'|'ml.m6id.large'|'ml.m6id.xlarge'|'ml.m6id.2xlarge'|'ml.m6id.4xlarge'|'ml.m6id.8xlarge'|'ml.m6id.12xlarge'|'ml.m6id.16xlarge'|'ml.m6id.24xlarge'|'ml.m6id.32xlarge'|'ml.c6id.large'|'ml.c6id.xlarge'|'ml.c6id.2xlarge'|'ml.c6id.4xlarge'|'ml.c6id.8xlarge'|'ml.c6id.12xlarge'|'ml.c6id.16xlarge'|'ml.c6id.24xlarge'|'ml.c6id.32xlarge'|'ml.r6id.large'|'ml.r6id.xlarge'|'ml.r6id.2xlarge'|'ml.r6id.4xlarge'|'ml.r6id.8xlarge'|'ml.r6id.12xlarge'|'ml.r6id.16xlarge'|'ml.r6id.24xlarge'|'ml.r6id.32xlarge',
                'LifecycleConfigArn': 'string'
            },
            'CustomImages': [
                {
                    'ImageName': 'string',
                    'ImageVersionNumber': 123,
                    'AppImageConfigName': 'string'
                },
            ],
            'LifecycleConfigArns': [
                'string',
            ],
            'CodeRepositories': [
                {
                    'RepositoryUrl': 'string'
                },
            ],
            'AppLifecycleManagement': {
                'IdleSettings': {
                    'LifecycleManagement': 'ENABLED'|'DISABLED',
                    'IdleTimeoutInMinutes': 123,
                    'MinIdleTimeoutInMinutes': 123,
                    'MaxIdleTimeoutInMinutes': 123
                }
            },
            'EmrSettings': {
                'AssumableRoleArns': [
                    'string',
                ],
                'ExecutionRoleArns': [
                    'string',
                ]
            },
            'BuiltInLifecycleConfigArn': 'string'
        },
        'SpaceStorageSettings': {
            'DefaultEbsStorageSettings': {
                'DefaultEbsVolumeSizeInGb': 123,
                'MaximumEbsVolumeSizeInGb': 123
            }
        },
        'CustomPosixUserConfig': {
            'Uid': 123,
            'Gid': 123
        },
        'CustomFileSystemConfigs': [
            {
                'EFSFileSystemConfig': {
                    'FileSystemId': 'string',
                    'FileSystemPath': 'string'
                },
                'FSxLustreFileSystemConfig': {
                    'FileSystemId': 'string',
                    'FileSystemPath': 'string'
                },
                'S3FileSystemConfig': {
                    'MountPath': 'string',
                    'S3Uri': 'string'
                }
            },
        ]
    }
}

Response Structure

• (dict) --

  • DomainArn (string) --

    The domain's Amazon Resource Name (ARN).

  • DomainId (string) --

    The domain ID.

  • DomainName (string) --

    The domain name.

  • HomeEfsFileSystemId (string) --

    The ID of the Amazon Elastic File System managed by this Domain.

  • SingleSignOnManagedApplicationInstanceId (string) --

    The IAM Identity Center managed application instance ID.

  • SingleSignOnApplicationArn (string) --

    The ARN of the application managed by SageMaker AI in IAM Identity Center. This value is only returned for domains created after October 1, 2023.

  • Status (string) --

    The status.

  • CreationTime (datetime) --

    The creation time.

  • LastModifiedTime (datetime) --

    The last modified time.

  • FailureReason (string) --

    The failure reason.

  • SecurityGroupIdForDomainBoundary (string) --

    The ID of the security group that authorizes traffic between the RSessionGateway apps and the RStudioServerPro app.

  • AuthMode (string) --

    The domain's authentication mode.

  • DefaultUserSettings (dict) --

    Settings which are applied to UserProfiles in this domain if settings are not explicitly specified in a given UserProfile.

    • ExecutionRole (string) --

      The execution role for the user.

      SageMaker applies this setting only to private spaces that the user creates in the domain. SageMaker doesn't apply this setting to shared spaces.

    • SecurityGroups (list) --

      The security groups for the Amazon Virtual Private Cloud (VPC) that the domain uses for communication.

      Optional when the CreateDomain.AppNetworkAccessType parameter is set to PublicInternetOnly.

      Required when the CreateDomain.AppNetworkAccessType parameter is set to VpcOnly, unless specified as part of the DefaultUserSettings for the domain.

      Amazon SageMaker AI adds a security group to allow NFS traffic from Amazon SageMaker AI Studio. Therefore, the number of security groups that you can specify is one less than the maximum number shown.

      SageMaker applies these settings only to private spaces that the user creates in the domain. SageMaker doesn't apply these settings to shared spaces.

      • (string) --

    • SharingSettings (dict) --

      Specifies options for sharing Amazon SageMaker AI Studio notebooks.

      • NotebookOutputOption (string) --

        Whether to include the notebook cell output when sharing the notebook. The default is Disabled.

      • S3OutputPath (string) --

        When NotebookOutputOption is Allowed, the Amazon S3 bucket used to store the shared notebook snapshots.

      • S3KmsKeyId (string) --

        When NotebookOutputOption is Allowed, the Amazon Web Services Key Management Service (KMS) encryption key ID used to encrypt the notebook cell output in the Amazon S3 bucket.

    • JupyterServerAppSettings (dict) --

      The Jupyter server's app settings.

      • DefaultResourceSpec (dict) --

        The default instance type and the Amazon Resource Name (ARN) of the default SageMaker AI image used by the JupyterServer app. If you use the LifecycleConfigArns parameter, then this parameter is also required.

        • SageMakerImageArn (string) --

          The ARN of the SageMaker AI image that the image version belongs to.

        • SageMakerImageVersionArn (string) --

          The ARN of the image version created on the instance. To clear the value set for SageMakerImageVersionArn, pass None as the value.

        • SageMakerImageVersionAlias (string) --

          The SageMakerImageVersionAlias of the image to launch with. This value is in SemVer 2.0.0 versioning format.

        • InstanceType (string) --

          The instance type that the image version runs on.

        • LifecycleConfigArn (string) --

          The Amazon Resource Name (ARN) of the Lifecycle Configuration attached to the Resource.

      • LifecycleConfigArns (list) --

        The Amazon Resource Name (ARN) of the Lifecycle Configurations attached to the JupyterServerApp. If you use this parameter, the DefaultResourceSpec parameter is also required.

        • (string) --

      • CodeRepositories (list) --

        A list of Git repositories that SageMaker AI automatically displays to users for cloning in the JupyterServer application.

        • (dict) --

          A Git repository that SageMaker AI automatically displays to users for cloning in the JupyterServer application.

          • RepositoryUrl (string) --

            The URL of the Git repository.

    • KernelGatewayAppSettings (dict) --

      The kernel gateway app settings.

      • DefaultResourceSpec (dict) --

        The default instance type and the Amazon Resource Name (ARN) of the default SageMaker AI image used by the KernelGateway app.

        • SageMakerImageArn (string) --

          The ARN of the SageMaker AI image that the image version belongs to.

        • SageMakerImageVersionArn (string) --

          The ARN of the image version created on the instance. To clear the value set for SageMakerImageVersionArn, pass None as the value.

        • SageMakerImageVersionAlias (string) --

          The SageMakerImageVersionAlias of the image to launch with. This value is in SemVer 2.0.0 versioning format.

        • InstanceType (string) --

          The instance type that the image version runs on.

        • LifecycleConfigArn (string) --

          The Amazon Resource Name (ARN) of the Lifecycle Configuration attached to the Resource.

      • CustomImages (list) --

        A list of custom SageMaker AI images that are configured to run as a KernelGateway app.

        The maximum number of custom images are as follows.

        • On a domain level: 200

        • On a space level: 5

        • On a user profile level: 5

        • (dict) --

          A custom SageMaker AI image. For more information, see Bring your own SageMaker AI image.

          • ImageName (string) --

            The name of the CustomImage. Must be unique to your account.

          • ImageVersionNumber (integer) --

            The version number of the CustomImage.

          • AppImageConfigName (string) --

            The name of the AppImageConfig.

      • LifecycleConfigArns (list) --

        The Amazon Resource Name (ARN) of the Lifecycle Configurations attached to the the user profile or domain.

        • (string) --

    • TensorBoardAppSettings (dict) --

      The TensorBoard app settings.

      • DefaultResourceSpec (dict) --

        The default instance type and the Amazon Resource Name (ARN) of the SageMaker AI image created on the instance.

        • SageMakerImageArn (string) --

          The ARN of the SageMaker AI image that the image version belongs to.

        • SageMakerImageVersionArn (string) --

          The ARN of the image version created on the instance. To clear the value set for SageMakerImageVersionArn, pass None as the value.

        • SageMakerImageVersionAlias (string) --

          The SageMakerImageVersionAlias of the image to launch with. This value is in SemVer 2.0.0 versioning format.

        • InstanceType (string) --

          The instance type that the image version runs on.

        • LifecycleConfigArn (string) --

          The Amazon Resource Name (ARN) of the Lifecycle Configuration attached to the Resource.

    • RStudioServerProAppSettings (dict) --

      A collection of settings that configure user interaction with the RStudioServerPro app.

      • AccessStatus (string) --

        Indicates whether the current user has access to the RStudioServerPro app.

      • UserGroup (string) --

        The level of permissions that the user has within the RStudioServerPro app. This value defaults to User. The Admin value allows the user access to the RStudio Administrative Dashboard.

    • RSessionAppSettings (dict) --

      A collection of settings that configure the RSessionGateway app.

      • DefaultResourceSpec (dict) --

        Specifies the ARN's of a SageMaker AI image and SageMaker AI image version, and the instance type that the version runs on.

        • SageMakerImageArn (string) --

          The ARN of the SageMaker AI image that the image version belongs to.

        • SageMakerImageVersionArn (string) --

          The ARN of the image version created on the instance. To clear the value set for SageMakerImageVersionArn, pass None as the value.

        • SageMakerImageVersionAlias (string) --

          The SageMakerImageVersionAlias of the image to launch with. This value is in SemVer 2.0.0 versioning format.

        • InstanceType (string) --

          The instance type that the image version runs on.

        • LifecycleConfigArn (string) --

          The Amazon Resource Name (ARN) of the Lifecycle Configuration attached to the Resource.

      • CustomImages (list) --

        A list of custom SageMaker AI images that are configured to run as a RSession app.

        • (dict) --

          A custom SageMaker AI image. For more information, see Bring your own SageMaker AI image.

          • ImageName (string) --

            The name of the CustomImage. Must be unique to your account.

          • ImageVersionNumber (integer) --

            The version number of the CustomImage.

          • AppImageConfigName (string) --

            The name of the AppImageConfig.

    • CanvasAppSettings (dict) --

      The Canvas app settings.

      SageMaker applies these settings only to private spaces that SageMaker creates for the Canvas app.

      • TimeSeriesForecastingSettings (dict) --

        Time series forecast settings for the SageMaker Canvas application.

        • Status (string) --

          Describes whether time series forecasting is enabled or disabled in the Canvas application.

        • AmazonForecastRoleArn (string) --

          The IAM role that Canvas passes to Amazon Forecast for time series forecasting. By default, Canvas uses the execution role specified in the UserProfile that launches the Canvas application. If an execution role is not specified in the UserProfile, Canvas uses the execution role specified in the Domain that owns the UserProfile. To allow time series forecasting, this IAM role should have the AmazonSageMakerCanvasForecastAccess policy attached and forecast.amazonaws.com added in the trust relationship as a service principal.

      • ModelRegisterSettings (dict) --

        The model registry settings for the SageMaker Canvas application.

        • Status (string) --

          Describes whether the integration to the model registry is enabled or disabled in the Canvas application.

        • CrossAccountModelRegisterRoleArn (string) --

          The Amazon Resource Name (ARN) of the SageMaker model registry account. Required only to register model versions created by a different SageMaker Canvas Amazon Web Services account than the Amazon Web Services account in which SageMaker model registry is set up.

      • WorkspaceSettings (dict) --

        The workspace settings for the SageMaker Canvas application.

        • S3ArtifactPath (string) --

          The Amazon S3 bucket used to store artifacts generated by Canvas. Updating the Amazon S3 location impacts existing configuration settings, and Canvas users no longer have access to their artifacts. Canvas users must log out and log back in to apply the new location.

        • S3KmsKeyId (string) --

          The Amazon Web Services Key Management Service (KMS) encryption key ID that is used to encrypt artifacts generated by Canvas in the Amazon S3 bucket.

      • IdentityProviderOAuthSettings (list) --

        The settings for connecting to an external data source with OAuth.

        • (dict) --

          The Amazon SageMaker Canvas application setting where you configure OAuth for connecting to an external data source, such as Snowflake.

          • DataSourceName (string) --

            The name of the data source that you're connecting to. Canvas currently supports OAuth for Snowflake and Salesforce Data Cloud.

          • Status (string) --

            Describes whether OAuth for a data source is enabled or disabled in the Canvas application.

          • SecretArn (string) --

            The ARN of an Amazon Web Services Secrets Manager secret that stores the credentials from your identity provider, such as the client ID and secret, authorization URL, and token URL.

      • DirectDeploySettings (dict) --

        The model deployment settings for the SageMaker Canvas application.

        • Status (string) --

          Describes whether model deployment permissions are enabled or disabled in the Canvas application.

      • KendraSettings (dict) --

        The settings for document querying.

        • Status (string) --

          Describes whether the document querying feature is enabled or disabled in the Canvas application.

      • GenerativeAiSettings (dict) --

        The generative AI settings for the SageMaker Canvas application.

        • AmazonBedrockRoleArn (string) --

          The ARN of an Amazon Web Services IAM role that allows fine-tuning of large language models (LLMs) in Amazon Bedrock. The IAM role should have Amazon S3 read and write permissions, as well as a trust relationship that establishes bedrock.amazonaws.com as a service principal.

      • EmrServerlessSettings (dict) --

        The settings for running Amazon EMR Serverless data processing jobs in SageMaker Canvas.

        • ExecutionRoleArn (string) --

          The Amazon Resource Name (ARN) of the Amazon Web Services IAM role that is assumed for running Amazon EMR Serverless jobs in SageMaker Canvas. This role should have the necessary permissions to read and write data attached and a trust relationship with EMR Serverless.

        • Status (string) --

          Describes whether Amazon EMR Serverless job capabilities are enabled or disabled in the SageMaker Canvas application.

    • CodeEditorAppSettings (dict) --

      The Code Editor application settings.

      SageMaker applies these settings only to private spaces that the user creates in the domain. SageMaker doesn't apply these settings to shared spaces.

      • DefaultResourceSpec (dict) --

        Specifies the ARN's of a SageMaker AI image and SageMaker AI image version, and the instance type that the version runs on.

        • SageMakerImageArn (string) --

          The ARN of the SageMaker AI image that the image version belongs to.

        • SageMakerImageVersionArn (string) --

          The ARN of the image version created on the instance. To clear the value set for SageMakerImageVersionArn, pass None as the value.

        • SageMakerImageVersionAlias (string) --

          The SageMakerImageVersionAlias of the image to launch with. This value is in SemVer 2.0.0 versioning format.

        • InstanceType (string) --

          The instance type that the image version runs on.

        • LifecycleConfigArn (string) --

          The Amazon Resource Name (ARN) of the Lifecycle Configuration attached to the Resource.

      • CustomImages (list) --

        A list of custom SageMaker images that are configured to run as a Code Editor app.

        • (dict) --

          A custom SageMaker AI image. For more information, see Bring your own SageMaker AI image.

          • ImageName (string) --

            The name of the CustomImage. Must be unique to your account.

          • ImageVersionNumber (integer) --

            The version number of the CustomImage.

          • AppImageConfigName (string) --

            The name of the AppImageConfig.

      • LifecycleConfigArns (list) --

        The Amazon Resource Name (ARN) of the Code Editor application lifecycle configuration.

        • (string) --

      • AppLifecycleManagement (dict) --

        Settings that are used to configure and manage the lifecycle of CodeEditor applications.

        • IdleSettings (dict) --

          Settings related to idle shutdown of Studio applications.

          • LifecycleManagement (string) --

            Indicates whether idle shutdown is activated for the application type.

          • IdleTimeoutInMinutes (integer) --

            The time that SageMaker waits after the application becomes idle before shutting it down.

          • MinIdleTimeoutInMinutes (integer) --

            The minimum value in minutes that custom idle shutdown can be set to by the user.

          • MaxIdleTimeoutInMinutes (integer) --

            The maximum value in minutes that custom idle shutdown can be set to by the user.

      • BuiltInLifecycleConfigArn (string) --

        The lifecycle configuration that runs before the default lifecycle configuration. It can override changes made in the default lifecycle configuration.

    • JupyterLabAppSettings (dict) --

      The settings for the JupyterLab application.

      SageMaker applies these settings only to private spaces that the user creates in the domain. SageMaker doesn't apply these settings to shared spaces.

      • DefaultResourceSpec (dict) --

        Specifies the ARN's of a SageMaker AI image and SageMaker AI image version, and the instance type that the version runs on.

        • SageMakerImageArn (string) --

          The ARN of the SageMaker AI image that the image version belongs to.

        • SageMakerImageVersionArn (string) --

          The ARN of the image version created on the instance. To clear the value set for SageMakerImageVersionArn, pass None as the value.

        • SageMakerImageVersionAlias (string) --

          The SageMakerImageVersionAlias of the image to launch with. This value is in SemVer 2.0.0 versioning format.

        • InstanceType (string) --

          The instance type that the image version runs on.

        • LifecycleConfigArn (string) --

          The Amazon Resource Name (ARN) of the Lifecycle Configuration attached to the Resource.

      • CustomImages (list) --

        A list of custom SageMaker images that are configured to run as a JupyterLab app.

        • (dict) --

          A custom SageMaker AI image. For more information, see Bring your own SageMaker AI image.

          • ImageName (string) --

            The name of the CustomImage. Must be unique to your account.

          • ImageVersionNumber (integer) --

            The version number of the CustomImage.

          • AppImageConfigName (string) --

            The name of the AppImageConfig.

      • LifecycleConfigArns (list) --

        The Amazon Resource Name (ARN) of the lifecycle configurations attached to the user profile or domain. To remove a lifecycle config, you must set LifecycleConfigArns to an empty list.

        • (string) --

      • CodeRepositories (list) --

        A list of Git repositories that SageMaker automatically displays to users for cloning in the JupyterLab application.

        • (dict) --

          A Git repository that SageMaker AI automatically displays to users for cloning in the JupyterServer application.

          • RepositoryUrl (string) --

            The URL of the Git repository.

      • AppLifecycleManagement (dict) --

        Indicates whether idle shutdown is activated for JupyterLab applications.

        • IdleSettings (dict) --

          Settings related to idle shutdown of Studio applications.

          • LifecycleManagement (string) --

            Indicates whether idle shutdown is activated for the application type.

          • IdleTimeoutInMinutes (integer) --

            The time that SageMaker waits after the application becomes idle before shutting it down.

          • MinIdleTimeoutInMinutes (integer) --

            The minimum value in minutes that custom idle shutdown can be set to by the user.

          • MaxIdleTimeoutInMinutes (integer) --

            The maximum value in minutes that custom idle shutdown can be set to by the user.

      • EmrSettings (dict) --

        The configuration parameters that specify the IAM roles assumed by the execution role of SageMaker (assumable roles) and the cluster instances or job execution environments (execution roles or runtime roles) to manage and access resources required for running Amazon EMR clusters or Amazon EMR Serverless applications.

        • AssumableRoleArns (list) --

          An array of Amazon Resource Names (ARNs) of the IAM roles that the execution role of SageMaker can assume for performing operations or tasks related to Amazon EMR clusters or Amazon EMR Serverless applications. These roles define the permissions and access policies required when performing Amazon EMR-related operations, such as listing, connecting to, or terminating Amazon EMR clusters or Amazon EMR Serverless applications. They are typically used in cross-account access scenarios, where the Amazon EMR resources (clusters or serverless applications) are located in a different Amazon Web Services account than the SageMaker domain.

          • (string) --

        • ExecutionRoleArns (list) --

          An array of Amazon Resource Names (ARNs) of the IAM roles used by the Amazon EMR cluster instances or job execution environments to access other Amazon Web Services services and resources needed during the runtime of your Amazon EMR or Amazon EMR Serverless workloads, such as Amazon S3 for data access, Amazon CloudWatch for logging, or other Amazon Web Services services based on the particular workload requirements.

          • (string) --

      • BuiltInLifecycleConfigArn (string) --

        The lifecycle configuration that runs before the default lifecycle configuration. It can override changes made in the default lifecycle configuration.

    • SpaceStorageSettings (dict) --

      The storage settings for a space.

      SageMaker applies these settings only to private spaces that the user creates in the domain. SageMaker doesn't apply these settings to shared spaces.

      • DefaultEbsStorageSettings (dict) --

        The default EBS storage settings for a space.

        • DefaultEbsVolumeSizeInGb (integer) --

          The default size of the EBS storage volume for a space.

        • MaximumEbsVolumeSizeInGb (integer) --

          The maximum size of the EBS storage volume for a space.

    • DefaultLandingUri (string) --

      The default experience that the user is directed to when accessing the domain. The supported values are:

      • studio::: Indicates that Studio is the default experience. This value can only be passed if StudioWebPortal is set to ENABLED.

      • app:JupyterServer:: Indicates that Studio Classic is the default experience.

    • StudioWebPortal (string) --

      Whether the user can access Studio. If this value is set to DISABLED, the user cannot access Studio, even if that is the default experience for the domain.

    • CustomPosixUserConfig (dict) --

      Details about the POSIX identity that is used for file system operations.

      SageMaker applies these settings only to private spaces that the user creates in the domain. SageMaker doesn't apply these settings to shared spaces.

      • Uid (integer) --

        The POSIX user ID.

      • Gid (integer) --

        The POSIX group ID.

    • CustomFileSystemConfigs (list) --

      The settings for assigning a custom file system to a user profile. Permitted users can access this file system in Amazon SageMaker AI Studio.

      SageMaker applies these settings only to private spaces that the user creates in the domain. SageMaker doesn't apply these settings to shared spaces.

      • (dict) --

        The settings for assigning a custom file system to a user profile or space for an Amazon SageMaker AI Domain. Permitted users can access this file system in Amazon SageMaker AI Studio.

        • EFSFileSystemConfig (dict) --

          The settings for a custom Amazon EFS file system.

          • FileSystemId (string) --

            The ID of your Amazon EFS file system.

          • FileSystemPath (string) --

            The path to the file system directory that is accessible in Amazon SageMaker AI Studio. Permitted users can access only this directory and below.

        • FSxLustreFileSystemConfig (dict) --

          The settings for a custom Amazon FSx for Lustre file system.

          • FileSystemId (string) --

            The globally unique, 17-digit, ID of the file system, assigned by Amazon FSx for Lustre.

          • FileSystemPath (string) --

            The path to the file system directory that is accessible in Amazon SageMaker Studio. Permitted users can access only this directory and below.

        • S3FileSystemConfig (dict) --

          Configuration settings for a custom Amazon S3 file system.

          • MountPath (string) --

            The file system path where the Amazon S3 storage location will be mounted within the Amazon SageMaker Studio environment.

          • S3Uri (string) --

            The Amazon S3 URI of the S3 file system configuration.

    • StudioWebPortalSettings (dict) --

      Studio settings. If these settings are applied on a user level, they take priority over the settings applied on a domain level.

      • HiddenMlTools (list) --

        The machine learning tools that are hidden from the Studio left navigation pane.

        • (string) --

      • HiddenAppTypes (list) --

        The Applications supported in Studio that are hidden from the Studio left navigation pane.

        • (string) --

      • HiddenInstanceTypes (list) --

        The instance types you are hiding from the Studio user interface.

        • (string) --

      • HiddenSageMakerImageVersionAliases (list) --

        The version aliases you are hiding from the Studio user interface.

        • (dict) --

          The SageMaker images that are hidden from the Studio user interface. You must specify the SageMaker image name and version aliases.

          • SageMakerImageName (string) --

            The SageMaker image name that you are hiding from the Studio user interface.

          • VersionAliases (list) --

            The version aliases you are hiding from the Studio user interface.

            • (string) --

    • AutoMountHomeEFS (string) --

      Indicates whether auto-mounting of an EFS volume is supported for the user profile. The DefaultAsDomain value is only supported for user profiles. Do not use the DefaultAsDomain value when setting this parameter for a domain.

      SageMaker applies this setting only to private spaces that the user creates in the domain. SageMaker doesn't apply this setting to shared spaces.

  • DomainSettings (dict) --

    A collection of Domain settings.

    • SecurityGroupIds (list) --

      The security groups for the Amazon Virtual Private Cloud that the Domain uses for communication between Domain-level apps and user apps.

      • (string) --

    • RStudioServerProDomainSettings (dict) --

      A collection of settings that configure the RStudioServerPro Domain-level app.

      • DomainExecutionRoleArn (string) --

        The ARN of the execution role for the RStudioServerPro Domain-level app.

      • RStudioConnectUrl (string) --

        A URL pointing to an RStudio Connect server.

      • RStudioPackageManagerUrl (string) --

        A URL pointing to an RStudio Package Manager server.

      • DefaultResourceSpec (dict) --

        Specifies the ARN's of a SageMaker AI image and SageMaker AI image version, and the instance type that the version runs on.

        • SageMakerImageArn (string) --

          The ARN of the SageMaker AI image that the image version belongs to.

        • SageMakerImageVersionArn (string) --

          The ARN of the image version created on the instance. To clear the value set for SageMakerImageVersionArn, pass None as the value.

        • SageMakerImageVersionAlias (string) --

          The SageMakerImageVersionAlias of the image to launch with. This value is in SemVer 2.0.0 versioning format.

        • InstanceType (string) --

          The instance type that the image version runs on.

        • LifecycleConfigArn (string) --

          The Amazon Resource Name (ARN) of the Lifecycle Configuration attached to the Resource.

    • ExecutionRoleIdentityConfig (string) --

      The configuration for attaching a SageMaker AI user profile name to the execution role as a sts:SourceIdentity key.

    • TrustedIdentityPropagationSettings (dict) --

      The Trusted Identity Propagation (TIP) settings for the SageMaker domain. These settings determine how user identities from IAM Identity Center are propagated through the domain to TIP enabled Amazon Web Services services.

      • Status (string) --

        The status of Trusted Identity Propagation (TIP) at the SageMaker domain level.

        When disabled, standard IAM role-based access is used.

        When enabled:

        • User identities from IAM Identity Center are propagated through the application to TIP enabled Amazon Web Services services.

        • New applications or existing applications that are automatically patched, will use the domain level configuration.

    • DockerSettings (dict) --

      A collection of settings that configure the domain's Docker interaction.

      • EnableDockerAccess (string) --

        Indicates whether the domain can access Docker.

      • VpcOnlyTrustedAccounts (list) --

        The list of Amazon Web Services accounts that are trusted when the domain is created in VPC-only mode.

        • (string) --

      • RootlessDocker (string) --

        Indicates whether to use rootless Docker. Default value is DISABLED.

    • AmazonQSettings (dict) --

      A collection of settings that configure the Amazon Q experience within the domain. The AuthMode that you use to create the domain must be SSO.

      • Status (string) --

        Whether Amazon Q has been enabled within the domain.

      • QProfileArn (string) --

        The ARN of the Amazon Q profile used within the domain.

    • UnifiedStudioSettings (dict) --

      The settings that apply to an SageMaker AI domain when you use it in Amazon SageMaker Unified Studio.

      • StudioWebPortalAccess (string) --

        Sets whether you can access the domain in Amazon SageMaker Studio:

        ENABLED

        You can access the domain in Amazon SageMaker Studio. If you migrate the domain to Amazon SageMaker Unified Studio, you can access it in both studio interfaces.

        DISABLED

        You can't access the domain in Amazon SageMaker Studio. If you migrate the domain to Amazon SageMaker Unified Studio, you can access it only in that studio interface.

        To migrate a domain to Amazon SageMaker Unified Studio, you specify the UnifiedStudioSettings data type when you use the UpdateDomain action.

      • DomainAccountId (string) --

        The ID of the Amazon Web Services account that has the Amazon SageMaker Unified Studio domain. The default value, if you don't specify an ID, is the ID of the account that has the Amazon SageMaker AI domain.

      • DomainRegion (string) --

        The Amazon Web Services Region where the domain is located in Amazon SageMaker Unified Studio. The default value, if you don't specify a Region, is the Region where the Amazon SageMaker AI domain is located.

      • DomainId (string) --

        The ID of the Amazon SageMaker Unified Studio domain associated with this domain.

      • ProjectId (string) --

        The ID of the Amazon SageMaker Unified Studio project that corresponds to the domain.

      • EnvironmentId (string) --

        The ID of the environment that Amazon SageMaker Unified Studio associates with the domain.

      • ProjectS3Path (string) --

        The location where Amazon S3 stores temporary execution data and other artifacts for the project that corresponds to the domain.

      • SingleSignOnApplicationArn (string) --

        The ARN of the Amazon DataZone application managed by Amazon SageMaker Unified Studio in the Amazon Web Services IAM Identity Center.

  • AppNetworkAccessType (string) --

    Specifies the VPC used for non-EFS traffic. The default value is PublicInternetOnly.

    • PublicInternetOnly - Non-EFS traffic is through a VPC managed by Amazon SageMaker AI, which allows direct internet access

    • VpcOnly - All traffic is through the specified VPC and subnets

  • HomeEfsFileSystemKmsKeyId (string) --

    Use KmsKeyId.

  • SubnetIds (list) --

    The VPC subnets that the domain uses for communication.

    • (string) --

  • Url (string) --

    The domain's URL.

  • VpcId (string) --

    The ID of the Amazon Virtual Private Cloud (VPC) that the domain uses for communication.

  • KmsKeyId (string) --

    The Amazon Web Services KMS customer managed key used to encrypt the EFS volume attached to the domain.

  • AppSecurityGroupManagement (string) --

    The entity that creates and manages the required security groups for inter-app communication in VPCOnly mode. Required when CreateDomain.AppNetworkAccessType is VPCOnly and DomainSettings.RStudioServerProDomainSettings.DomainExecutionRoleArn is provided.

  • TagPropagation (string) --

    Indicates whether custom tag propagation is supported for the domain.

  • DefaultSpaceSettings (dict) --

    The default settings for shared spaces that users create in the domain.

    • ExecutionRole (string) --

      The ARN of the execution role for the space.

    • SecurityGroups (list) --

      The security group IDs for the Amazon VPC that the space uses for communication.

      • (string) --

    • JupyterServerAppSettings (dict) --

      The JupyterServer app settings.

      • DefaultResourceSpec (dict) --

        The default instance type and the Amazon Resource Name (ARN) of the default SageMaker AI image used by the JupyterServer app. If you use the LifecycleConfigArns parameter, then this parameter is also required.

        • SageMakerImageArn (string) --

          The ARN of the SageMaker AI image that the image version belongs to.

        • SageMakerImageVersionArn (string) --

          The ARN of the image version created on the instance. To clear the value set for SageMakerImageVersionArn, pass None as the value.

        • SageMakerImageVersionAlias (string) --

          The SageMakerImageVersionAlias of the image to launch with. This value is in SemVer 2.0.0 versioning format.

        • InstanceType (string) --

          The instance type that the image version runs on.

        • LifecycleConfigArn (string) --

          The Amazon Resource Name (ARN) of the Lifecycle Configuration attached to the Resource.

      • LifecycleConfigArns (list) --

        The Amazon Resource Name (ARN) of the Lifecycle Configurations attached to the JupyterServerApp. If you use this parameter, the DefaultResourceSpec parameter is also required.

        • (string) --

      • CodeRepositories (list) --

        A list of Git repositories that SageMaker AI automatically displays to users for cloning in the JupyterServer application.

        • (dict) --

          A Git repository that SageMaker AI automatically displays to users for cloning in the JupyterServer application.

          • RepositoryUrl (string) --

            The URL of the Git repository.

    • KernelGatewayAppSettings (dict) --

      The KernelGateway app settings.

      • DefaultResourceSpec (dict) --

        The default instance type and the Amazon Resource Name (ARN) of the default SageMaker AI image used by the KernelGateway app.

        • SageMakerImageArn (string) --

          The ARN of the SageMaker AI image that the image version belongs to.

        • SageMakerImageVersionArn (string) --

          The ARN of the image version created on the instance. To clear the value set for SageMakerImageVersionArn, pass None as the value.

        • SageMakerImageVersionAlias (string) --

          The SageMakerImageVersionAlias of the image to launch with. This value is in SemVer 2.0.0 versioning format.

        • InstanceType (string) --

          The instance type that the image version runs on.

        • LifecycleConfigArn (string) --

          The Amazon Resource Name (ARN) of the Lifecycle Configuration attached to the Resource.

      • CustomImages (list) --

        A list of custom SageMaker AI images that are configured to run as a KernelGateway app.

        The maximum number of custom images are as follows.

        • On a domain level: 200

        • On a space level: 5

        • On a user profile level: 5

        • (dict) --

          A custom SageMaker AI image. For more information, see Bring your own SageMaker AI image.

          • ImageName (string) --

            The name of the CustomImage. Must be unique to your account.

          • ImageVersionNumber (integer) --

            The version number of the CustomImage.

          • AppImageConfigName (string) --

            The name of the AppImageConfig.

      • LifecycleConfigArns (list) --

        The Amazon Resource Name (ARN) of the Lifecycle Configurations attached to the the user profile or domain.

        • (string) --

    • JupyterLabAppSettings (dict) --

      The settings for the JupyterLab application.

      • DefaultResourceSpec (dict) --

        Specifies the ARN's of a SageMaker AI image and SageMaker AI image version, and the instance type that the version runs on.

        • SageMakerImageArn (string) --

          The ARN of the SageMaker AI image that the image version belongs to.

        • SageMakerImageVersionArn (string) --

          The ARN of the image version created on the instance. To clear the value set for SageMakerImageVersionArn, pass None as the value.

        • SageMakerImageVersionAlias (string) --

          The SageMakerImageVersionAlias of the image to launch with. This value is in SemVer 2.0.0 versioning format.

        • InstanceType (string) --

          The instance type that the image version runs on.

        • LifecycleConfigArn (string) --

          The Amazon Resource Name (ARN) of the Lifecycle Configuration attached to the Resource.

      • CustomImages (list) --

        A list of custom SageMaker images that are configured to run as a JupyterLab app.

        • (dict) --

          A custom SageMaker AI image. For more information, see Bring your own SageMaker AI image.

          • ImageName (string) --

            The name of the CustomImage. Must be unique to your account.

          • ImageVersionNumber (integer) --

            The version number of the CustomImage.

          • AppImageConfigName (string) --

            The name of the AppImageConfig.

      • LifecycleConfigArns (list) --

        The Amazon Resource Name (ARN) of the lifecycle configurations attached to the user profile or domain. To remove a lifecycle config, you must set LifecycleConfigArns to an empty list.

        • (string) --

      • CodeRepositories (list) --

        A list of Git repositories that SageMaker automatically displays to users for cloning in the JupyterLab application.

        • (dict) --

          A Git repository that SageMaker AI automatically displays to users for cloning in the JupyterServer application.

          • RepositoryUrl (string) --

            The URL of the Git repository.

      • AppLifecycleManagement (dict) --

        Indicates whether idle shutdown is activated for JupyterLab applications.

        • IdleSettings (dict) --

          Settings related to idle shutdown of Studio applications.

          • LifecycleManagement (string) --

            Indicates whether idle shutdown is activated for the application type.

          • IdleTimeoutInMinutes (integer) --

            The time that SageMaker waits after the application becomes idle before shutting it down.

          • MinIdleTimeoutInMinutes (integer) --

            The minimum value in minutes that custom idle shutdown can be set to by the user.

          • MaxIdleTimeoutInMinutes (integer) --

            The maximum value in minutes that custom idle shutdown can be set to by the user.

      • EmrSettings (dict) --

        The configuration parameters that specify the IAM roles assumed by the execution role of SageMaker (assumable roles) and the cluster instances or job execution environments (execution roles or runtime roles) to manage and access resources required for running Amazon EMR clusters or Amazon EMR Serverless applications.

        • AssumableRoleArns (list) --

          An array of Amazon Resource Names (ARNs) of the IAM roles that the execution role of SageMaker can assume for performing operations or tasks related to Amazon EMR clusters or Amazon EMR Serverless applications. These roles define the permissions and access policies required when performing Amazon EMR-related operations, such as listing, connecting to, or terminating Amazon EMR clusters or Amazon EMR Serverless applications. They are typically used in cross-account access scenarios, where the Amazon EMR resources (clusters or serverless applications) are located in a different Amazon Web Services account than the SageMaker domain.

          • (string) --

        • ExecutionRoleArns (list) --

          An array of Amazon Resource Names (ARNs) of the IAM roles used by the Amazon EMR cluster instances or job execution environments to access other Amazon Web Services services and resources needed during the runtime of your Amazon EMR or Amazon EMR Serverless workloads, such as Amazon S3 for data access, Amazon CloudWatch for logging, or other Amazon Web Services services based on the particular workload requirements.

          • (string) --

      • BuiltInLifecycleConfigArn (string) --

        The lifecycle configuration that runs before the default lifecycle configuration. It can override changes made in the default lifecycle configuration.

    • SpaceStorageSettings (dict) --

      The default storage settings for a space.

      • DefaultEbsStorageSettings (dict) --

        The default EBS storage settings for a space.

        • DefaultEbsVolumeSizeInGb (integer) --

          The default size of the EBS storage volume for a space.

        • MaximumEbsVolumeSizeInGb (integer) --

          The maximum size of the EBS storage volume for a space.

    • CustomPosixUserConfig (dict) --

      Details about the POSIX identity that is used for file system operations.

      • Uid (integer) --

        The POSIX user ID.

      • Gid (integer) --

        The POSIX group ID.

    • CustomFileSystemConfigs (list) --

      The settings for assigning a custom file system to a domain. Permitted users can access this file system in Amazon SageMaker AI Studio.

      • (dict) --

        The settings for assigning a custom file system to a user profile or space for an Amazon SageMaker AI Domain. Permitted users can access this file system in Amazon SageMaker AI Studio.

        • EFSFileSystemConfig (dict) --

          The settings for a custom Amazon EFS file system.

          • FileSystemId (string) --

            The ID of your Amazon EFS file system.

          • FileSystemPath (string) --

            The path to the file system directory that is accessible in Amazon SageMaker AI Studio. Permitted users can access only this directory and below.

        • FSxLustreFileSystemConfig (dict) --

          The settings for a custom Amazon FSx for Lustre file system.

          • FileSystemId (string) --

            The globally unique, 17-digit, ID of the file system, assigned by Amazon FSx for Lustre.

          • FileSystemPath (string) --

            The path to the file system directory that is accessible in Amazon SageMaker Studio. Permitted users can access only this directory and below.

        • S3FileSystemConfig (dict) --

          Configuration settings for a custom Amazon S3 file system.

          • MountPath (string) --

            The file system path where the Amazon S3 storage location will be mounted within the Amazon SageMaker Studio environment.

          • S3Uri (string) --

            The Amazon S3 URI of the S3 file system configuration.

{'ModelVariants': {'InfrastructureConfig': {'RealTimeInferenceConfig': {'InstanceType': {'ml.p6-b200.48xlarge'}}}}}

Returns details about an inference experiment.

See also: AWS API Documentation

Request Syntax

client.describe_inference_experiment(
    Name='string'
)

type Name:

string

param Name:

[REQUIRED]

The name of the inference experiment to describe.

rtype:

dict

returns:

Response Syntax

{
    'Arn': 'string',
    'Name': 'string',
    'Type': 'ShadowMode',
    'Schedule': {
        'StartTime': datetime(2015, 1, 1),
        'EndTime': datetime(2015, 1, 1)
    },
    'Status': 'Creating'|'Created'|'Updating'|'Running'|'Starting'|'Stopping'|'Completed'|'Cancelled',
    'StatusReason': 'string',
    'Description': 'string',
    'CreationTime': datetime(2015, 1, 1),
    'CompletionTime': datetime(2015, 1, 1),
    'LastModifiedTime': datetime(2015, 1, 1),
    'RoleArn': 'string',
    'EndpointMetadata': {
        'EndpointName': 'string',
        'EndpointConfigName': 'string',
        'EndpointStatus': 'OutOfService'|'Creating'|'Updating'|'SystemUpdating'|'RollingBack'|'InService'|'Deleting'|'Failed'|'UpdateRollbackFailed',
        'FailureReason': 'string'
    },
    'ModelVariants': [
        {
            'ModelName': 'string',
            'VariantName': 'string',
            'InfrastructureConfig': {
                'InfrastructureType': 'RealTimeInference',
                'RealTimeInferenceConfig': {
                    'InstanceType': 'ml.t2.medium'|'ml.t2.large'|'ml.t2.xlarge'|'ml.t2.2xlarge'|'ml.t3.medium'|'ml.t3.large'|'ml.t3.xlarge'|'ml.t3.2xlarge'|'ml.m4.xlarge'|'ml.m4.2xlarge'|'ml.m4.4xlarge'|'ml.m4.10xlarge'|'ml.m4.16xlarge'|'ml.m5.xlarge'|'ml.m5.2xlarge'|'ml.m5.4xlarge'|'ml.m5.12xlarge'|'ml.m5.24xlarge'|'ml.m5d.large'|'ml.m5d.xlarge'|'ml.m5d.2xlarge'|'ml.m5d.4xlarge'|'ml.m5d.8xlarge'|'ml.m5d.12xlarge'|'ml.m5d.16xlarge'|'ml.m5d.24xlarge'|'ml.c4.xlarge'|'ml.c4.2xlarge'|'ml.c4.4xlarge'|'ml.c4.8xlarge'|'ml.c5.xlarge'|'ml.c5.2xlarge'|'ml.c5.4xlarge'|'ml.c5.9xlarge'|'ml.c5.18xlarge'|'ml.c5d.xlarge'|'ml.c5d.2xlarge'|'ml.c5d.4xlarge'|'ml.c5d.9xlarge'|'ml.c5d.18xlarge'|'ml.p2.xlarge'|'ml.p2.8xlarge'|'ml.p2.16xlarge'|'ml.p3.2xlarge'|'ml.p3.8xlarge'|'ml.p3.16xlarge'|'ml.p3dn.24xlarge'|'ml.g4dn.xlarge'|'ml.g4dn.2xlarge'|'ml.g4dn.4xlarge'|'ml.g4dn.8xlarge'|'ml.g4dn.12xlarge'|'ml.g4dn.16xlarge'|'ml.r5.large'|'ml.r5.xlarge'|'ml.r5.2xlarge'|'ml.r5.4xlarge'|'ml.r5.8xlarge'|'ml.r5.12xlarge'|'ml.r5.16xlarge'|'ml.r5.24xlarge'|'ml.g5.xlarge'|'ml.g5.2xlarge'|'ml.g5.4xlarge'|'ml.g5.8xlarge'|'ml.g5.16xlarge'|'ml.g5.12xlarge'|'ml.g5.24xlarge'|'ml.g5.48xlarge'|'ml.inf1.xlarge'|'ml.inf1.2xlarge'|'ml.inf1.6xlarge'|'ml.inf1.24xlarge'|'ml.trn1.2xlarge'|'ml.trn1.32xlarge'|'ml.trn1n.32xlarge'|'ml.inf2.xlarge'|'ml.inf2.8xlarge'|'ml.inf2.24xlarge'|'ml.inf2.48xlarge'|'ml.p4d.24xlarge'|'ml.p4de.24xlarge'|'ml.p5.48xlarge'|'ml.p6-b200.48xlarge'|'ml.m6i.large'|'ml.m6i.xlarge'|'ml.m6i.2xlarge'|'ml.m6i.4xlarge'|'ml.m6i.8xlarge'|'ml.m6i.12xlarge'|'ml.m6i.16xlarge'|'ml.m6i.24xlarge'|'ml.m6i.32xlarge'|'ml.m7i.large'|'ml.m7i.xlarge'|'ml.m7i.2xlarge'|'ml.m7i.4xlarge'|'ml.m7i.8xlarge'|'ml.m7i.12xlarge'|'ml.m7i.16xlarge'|'ml.m7i.24xlarge'|'ml.m7i.48xlarge'|'ml.c6i.large'|'ml.c6i.xlarge'|'ml.c6i.2xlarge'|'ml.c6i.4xlarge'|'ml.c6i.8xlarge'|'ml.c6i.12xlarge'|'ml.c6i.16xlarge'|'ml.c6i.24xlarge'|'ml.c6i.32xlarge'|'ml.c7i.large'|'ml.c7i.xlarge'|'ml.c7i.2xlarge'|'ml.c7i.4xlarge'|'ml.c7i.8xlarge'|'ml.c7i.12xlarge'|'ml.c7i.16xlarge'|'ml.c7i.24xlarge'|'ml.c7i.48xlarge'|'ml.r6i.large'|'ml.r6i.xlarge'|'ml.r6i.2xlarge'|'ml.r6i.4xlarge'|'ml.r6i.8xlarge'|'ml.r6i.12xlarge'|'ml.r6i.16xlarge'|'ml.r6i.24xlarge'|'ml.r6i.32xlarge'|'ml.r7i.large'|'ml.r7i.xlarge'|'ml.r7i.2xlarge'|'ml.r7i.4xlarge'|'ml.r7i.8xlarge'|'ml.r7i.12xlarge'|'ml.r7i.16xlarge'|'ml.r7i.24xlarge'|'ml.r7i.48xlarge'|'ml.m6id.large'|'ml.m6id.xlarge'|'ml.m6id.2xlarge'|'ml.m6id.4xlarge'|'ml.m6id.8xlarge'|'ml.m6id.12xlarge'|'ml.m6id.16xlarge'|'ml.m6id.24xlarge'|'ml.m6id.32xlarge'|'ml.c6id.large'|'ml.c6id.xlarge'|'ml.c6id.2xlarge'|'ml.c6id.4xlarge'|'ml.c6id.8xlarge'|'ml.c6id.12xlarge'|'ml.c6id.16xlarge'|'ml.c6id.24xlarge'|'ml.c6id.32xlarge'|'ml.r6id.large'|'ml.r6id.xlarge'|'ml.r6id.2xlarge'|'ml.r6id.4xlarge'|'ml.r6id.8xlarge'|'ml.r6id.12xlarge'|'ml.r6id.16xlarge'|'ml.r6id.24xlarge'|'ml.r6id.32xlarge'|'ml.g6.xlarge'|'ml.g6.2xlarge'|'ml.g6.4xlarge'|'ml.g6.8xlarge'|'ml.g6.12xlarge'|'ml.g6.16xlarge'|'ml.g6.24xlarge'|'ml.g6.48xlarge',
                    'InstanceCount': 123
                }
            },
            'Status': 'Creating'|'Updating'|'InService'|'Deleting'|'Deleted'
        },
    ],
    'DataStorageConfig': {
        'Destination': 'string',
        'KmsKey': 'string',
        'ContentType': {
            'CsvContentTypes': [
                'string',
            ],
            'JsonContentTypes': [
                'string',
            ]
        }
    },
    'ShadowModeConfig': {
        'SourceModelVariantName': 'string',
        'ShadowModelVariants': [
            {
                'ShadowModelVariantName': 'string',
                'SamplingPercentage': 123
            },
        ]
    },
    'KmsKey': 'string'
}

Response Structure

• (dict) --

  • Arn (string) --

    The ARN of the inference experiment being described.

  • Name (string) --

    The name of the inference experiment.

  • Type (string) --

    The type of the inference experiment.

  • Schedule (dict) --

    The duration for which the inference experiment ran or will run.

    • StartTime (datetime) --

      The timestamp at which the inference experiment started or will start.

    • EndTime (datetime) --

      The timestamp at which the inference experiment ended or will end.

  • Status (string) --

    The status of the inference experiment. The following are the possible statuses for an inference experiment:

    • Creating - Amazon SageMaker is creating your experiment.

    • Created - Amazon SageMaker has finished the creation of your experiment and will begin the experiment at the scheduled time.

    • Updating - When you make changes to your experiment, your experiment shows as updating.

    • Starting - Amazon SageMaker is beginning your experiment.

    • Running - Your experiment is in progress.

    • Stopping - Amazon SageMaker is stopping your experiment.

    • Completed - Your experiment has completed.

    • Cancelled - When you conclude your experiment early using the StopInferenceExperiment API, or if any operation fails with an unexpected error, it shows as cancelled.

  • StatusReason (string) --

    The error message or client-specified Reason from the StopInferenceExperiment API, that explains the status of the inference experiment.

  • Description (string) --

    The description of the inference experiment.

  • CreationTime (datetime) --

    The timestamp at which you created the inference experiment.

  • CompletionTime (datetime) --

    The timestamp at which the inference experiment was completed.

  • LastModifiedTime (datetime) --

    The timestamp at which you last modified the inference experiment.

  • RoleArn (string) --

    The ARN of the IAM role that Amazon SageMaker can assume to access model artifacts and container images, and manage Amazon SageMaker Inference endpoints for model deployment.

  • EndpointMetadata (dict) --

    The metadata of the endpoint on which the inference experiment ran.

    • EndpointName (string) --

      The name of the endpoint.

    • EndpointConfigName (string) --

      The name of the endpoint configuration.

    • EndpointStatus (string) --

      The status of the endpoint. For possible values of the status of an endpoint, see EndpointSummary.

    • FailureReason (string) --

      If the status of the endpoint is Failed, or the status is InService but update operation fails, this provides the reason why it failed.

  • ModelVariants (list) --

    An array of ModelVariantConfigSummary objects. There is one for each variant in the inference experiment. Each ModelVariantConfigSummary object in the array describes the infrastructure configuration for deploying the corresponding variant.

    • (dict) --

      Summary of the deployment configuration of a model.

      • ModelName (string) --

        The name of the Amazon SageMaker Model entity.

      • VariantName (string) --

        The name of the variant.

      • InfrastructureConfig (dict) --

        The configuration of the infrastructure that the model has been deployed to.

        • InfrastructureType (string) --

          The inference option to which to deploy your model. Possible values are the following:

          • RealTime: Deploy to real-time inference.

        • RealTimeInferenceConfig (dict) --

          The infrastructure configuration for deploying the model to real-time inference.

          • InstanceType (string) --

            The instance type the model is deployed to.

          • InstanceCount (integer) --

            The number of instances of the type specified by InstanceType.

      • Status (string) --

        The status of deployment for the model variant on the hosted inference endpoint.

        • Creating - Amazon SageMaker is preparing the model variant on the hosted inference endpoint.

        • InService - The model variant is running on the hosted inference endpoint.

        • Updating - Amazon SageMaker is updating the model variant on the hosted inference endpoint.

        • Deleting - Amazon SageMaker is deleting the model variant on the hosted inference endpoint.

        • Deleted - The model variant has been deleted on the hosted inference endpoint. This can only happen after stopping the experiment.

  • DataStorageConfig (dict) --

    The Amazon S3 location and configuration for storing inference request and response data.

    • Destination (string) --

      The Amazon S3 bucket where the inference request and response data is stored.

    • KmsKey (string) --

      The Amazon Web Services Key Management Service key that Amazon SageMaker uses to encrypt captured data at rest using Amazon S3 server-side encryption.

    • ContentType (dict) --

      Configuration specifying how to treat different headers. If no headers are specified Amazon SageMaker AI will by default base64 encode when capturing the data.

      • CsvContentTypes (list) --

        The list of all content type headers that Amazon SageMaker AI will treat as CSV and capture accordingly.

        • (string) --

      • JsonContentTypes (list) --

        The list of all content type headers that SageMaker AI will treat as JSON and capture accordingly.

        • (string) --

  • ShadowModeConfig (dict) --

    The configuration of ShadowMode inference experiment type, which shows the production variant that takes all the inference requests, and the shadow variant to which Amazon SageMaker replicates a percentage of the inference requests. For the shadow variant it also shows the percentage of requests that Amazon SageMaker replicates.

    • SourceModelVariantName (string) --

      The name of the production variant, which takes all the inference requests.

    • ShadowModelVariants (list) --

      List of shadow variant configurations.

      • (dict) --

        The name and sampling percentage of a shadow variant.

        • ShadowModelVariantName (string) --

          The name of the shadow variant.

        • SamplingPercentage (integer) --

          The percentage of inference requests that Amazon SageMaker replicates from the production variant to the shadow variant.

  • KmsKey (string) --

    The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance that hosts the endpoint. For more information, see CreateInferenceExperiment.

{'InstanceType': {'ml.p6-b200.48xlarge'}}

Returns information about a notebook instance.

See also: AWS API Documentation

Request Syntax

client.describe_notebook_instance(
    NotebookInstanceName='string'
)

type NotebookInstanceName:

string

param NotebookInstanceName:

[REQUIRED]

The name of the notebook instance that you want information about.

rtype:

dict

returns:

Response Syntax

{
    'NotebookInstanceArn': 'string',
    'NotebookInstanceName': 'string',
    'NotebookInstanceStatus': 'Pending'|'InService'|'Stopping'|'Stopped'|'Failed'|'Deleting'|'Updating',
    'FailureReason': 'string',
    'Url': 'string',
    'InstanceType': 'ml.t2.medium'|'ml.t2.large'|'ml.t2.xlarge'|'ml.t2.2xlarge'|'ml.t3.medium'|'ml.t3.large'|'ml.t3.xlarge'|'ml.t3.2xlarge'|'ml.m4.xlarge'|'ml.m4.2xlarge'|'ml.m4.4xlarge'|'ml.m4.10xlarge'|'ml.m4.16xlarge'|'ml.m5.xlarge'|'ml.m5.2xlarge'|'ml.m5.4xlarge'|'ml.m5.12xlarge'|'ml.m5.24xlarge'|'ml.m5d.large'|'ml.m5d.xlarge'|'ml.m5d.2xlarge'|'ml.m5d.4xlarge'|'ml.m5d.8xlarge'|'ml.m5d.12xlarge'|'ml.m5d.16xlarge'|'ml.m5d.24xlarge'|'ml.c4.xlarge'|'ml.c4.2xlarge'|'ml.c4.4xlarge'|'ml.c4.8xlarge'|'ml.c5.xlarge'|'ml.c5.2xlarge'|'ml.c5.4xlarge'|'ml.c5.9xlarge'|'ml.c5.18xlarge'|'ml.c5d.xlarge'|'ml.c5d.2xlarge'|'ml.c5d.4xlarge'|'ml.c5d.9xlarge'|'ml.c5d.18xlarge'|'ml.p2.xlarge'|'ml.p2.8xlarge'|'ml.p2.16xlarge'|'ml.p3.2xlarge'|'ml.p3.8xlarge'|'ml.p3.16xlarge'|'ml.p3dn.24xlarge'|'ml.g4dn.xlarge'|'ml.g4dn.2xlarge'|'ml.g4dn.4xlarge'|'ml.g4dn.8xlarge'|'ml.g4dn.12xlarge'|'ml.g4dn.16xlarge'|'ml.r5.large'|'ml.r5.xlarge'|'ml.r5.2xlarge'|'ml.r5.4xlarge'|'ml.r5.8xlarge'|'ml.r5.12xlarge'|'ml.r5.16xlarge'|'ml.r5.24xlarge'|'ml.g5.xlarge'|'ml.g5.2xlarge'|'ml.g5.4xlarge'|'ml.g5.8xlarge'|'ml.g5.16xlarge'|'ml.g5.12xlarge'|'ml.g5.24xlarge'|'ml.g5.48xlarge'|'ml.inf1.xlarge'|'ml.inf1.2xlarge'|'ml.inf1.6xlarge'|'ml.inf1.24xlarge'|'ml.trn1.2xlarge'|'ml.trn1.32xlarge'|'ml.trn1n.32xlarge'|'ml.inf2.xlarge'|'ml.inf2.8xlarge'|'ml.inf2.24xlarge'|'ml.inf2.48xlarge'|'ml.p4d.24xlarge'|'ml.p4de.24xlarge'|'ml.p5.48xlarge'|'ml.p6-b200.48xlarge'|'ml.m6i.large'|'ml.m6i.xlarge'|'ml.m6i.2xlarge'|'ml.m6i.4xlarge'|'ml.m6i.8xlarge'|'ml.m6i.12xlarge'|'ml.m6i.16xlarge'|'ml.m6i.24xlarge'|'ml.m6i.32xlarge'|'ml.m7i.large'|'ml.m7i.xlarge'|'ml.m7i.2xlarge'|'ml.m7i.4xlarge'|'ml.m7i.8xlarge'|'ml.m7i.12xlarge'|'ml.m7i.16xlarge'|'ml.m7i.24xlarge'|'ml.m7i.48xlarge'|'ml.c6i.large'|'ml.c6i.xlarge'|'ml.c6i.2xlarge'|'ml.c6i.4xlarge'|'ml.c6i.8xlarge'|'ml.c6i.12xlarge'|'ml.c6i.16xlarge'|'ml.c6i.24xlarge'|'ml.c6i.32xlarge'|'ml.c7i.large'|'ml.c7i.xlarge'|'ml.c7i.2xlarge'|'ml.c7i.4xlarge'|'ml.c7i.8xlarge'|'ml.c7i.12xlarge'|'ml.c7i.16xlarge'|'ml.c7i.24xlarge'|'ml.c7i.48xlarge'|'ml.r6i.large'|'ml.r6i.xlarge'|'ml.r6i.2xlarge'|'ml.r6i.4xlarge'|'ml.r6i.8xlarge'|'ml.r6i.12xlarge'|'ml.r6i.16xlarge'|'ml.r6i.24xlarge'|'ml.r6i.32xlarge'|'ml.r7i.large'|'ml.r7i.xlarge'|'ml.r7i.2xlarge'|'ml.r7i.4xlarge'|'ml.r7i.8xlarge'|'ml.r7i.12xlarge'|'ml.r7i.16xlarge'|'ml.r7i.24xlarge'|'ml.r7i.48xlarge'|'ml.m6id.large'|'ml.m6id.xlarge'|'ml.m6id.2xlarge'|'ml.m6id.4xlarge'|'ml.m6id.8xlarge'|'ml.m6id.12xlarge'|'ml.m6id.16xlarge'|'ml.m6id.24xlarge'|'ml.m6id.32xlarge'|'ml.c6id.large'|'ml.c6id.xlarge'|'ml.c6id.2xlarge'|'ml.c6id.4xlarge'|'ml.c6id.8xlarge'|'ml.c6id.12xlarge'|'ml.c6id.16xlarge'|'ml.c6id.24xlarge'|'ml.c6id.32xlarge'|'ml.r6id.large'|'ml.r6id.xlarge'|'ml.r6id.2xlarge'|'ml.r6id.4xlarge'|'ml.r6id.8xlarge'|'ml.r6id.12xlarge'|'ml.r6id.16xlarge'|'ml.r6id.24xlarge'|'ml.r6id.32xlarge'|'ml.g6.xlarge'|'ml.g6.2xlarge'|'ml.g6.4xlarge'|'ml.g6.8xlarge'|'ml.g6.12xlarge'|'ml.g6.16xlarge'|'ml.g6.24xlarge'|'ml.g6.48xlarge',
    'SubnetId': 'string',
    'SecurityGroups': [
        'string',
    ],
    'RoleArn': 'string',
    'KmsKeyId': 'string',
    'NetworkInterfaceId': 'string',
    'LastModifiedTime': datetime(2015, 1, 1),
    'CreationTime': datetime(2015, 1, 1),
    'NotebookInstanceLifecycleConfigName': 'string',
    'DirectInternetAccess': 'Enabled'|'Disabled',
    'VolumeSizeInGB': 123,
    'AcceleratorTypes': [
        'ml.eia1.medium'|'ml.eia1.large'|'ml.eia1.xlarge'|'ml.eia2.medium'|'ml.eia2.large'|'ml.eia2.xlarge',
    ],
    'DefaultCodeRepository': 'string',
    'AdditionalCodeRepositories': [
        'string',
    ],
    'RootAccess': 'Enabled'|'Disabled',
    'PlatformIdentifier': 'string',
    'InstanceMetadataServiceConfiguration': {
        'MinimumInstanceMetadataServiceVersion': 'string'
    }
}

Response Structure

• (dict) --

  • NotebookInstanceArn (string) --

    The Amazon Resource Name (ARN) of the notebook instance.

  • NotebookInstanceName (string) --

    The name of the SageMaker AI notebook instance.

  • NotebookInstanceStatus (string) --

    The status of the notebook instance.

  • FailureReason (string) --

    If status is Failed, the reason it failed.

  • Url (string) --

    The URL that you use to connect to the Jupyter notebook that is running in your notebook instance.

  • InstanceType (string) --

    The type of ML compute instance running on the notebook instance.

  • SubnetId (string) --

    The ID of the VPC subnet.

  • SecurityGroups (list) --

    The IDs of the VPC security groups.

    • (string) --

  • RoleArn (string) --

    The Amazon Resource Name (ARN) of the IAM role associated with the instance.

  • KmsKeyId (string) --

    The Amazon Web Services KMS key ID SageMaker AI uses to encrypt data when storing it on the ML storage volume attached to the instance.

  • NetworkInterfaceId (string) --

    The network interface IDs that SageMaker AI created at the time of creating the instance.

  • LastModifiedTime (datetime) --

    A timestamp. Use this parameter to retrieve the time when the notebook instance was last modified.

  • CreationTime (datetime) --

    A timestamp. Use this parameter to return the time when the notebook instance was created

  • NotebookInstanceLifecycleConfigName (string) --

    Returns the name of a notebook instance lifecycle configuration.

    For information about notebook instance lifestyle configurations, see Step 2.1: (Optional) Customize a Notebook Instance

  • DirectInternetAccess (string) --

    Describes whether SageMaker AI provides internet access to the notebook instance. If this value is set to Disabled, the notebook instance does not have internet access, and cannot connect to SageMaker AI training and endpoint services.

    For more information, see Notebook Instances Are Internet-Enabled by Default.

  • VolumeSizeInGB (integer) --

    The size, in GB, of the ML storage volume attached to the notebook instance.

  • AcceleratorTypes (list) --

    This parameter is no longer supported. Elastic Inference (EI) is no longer available.

    This parameter was used to specify a list of the EI instance types associated with this notebook instance.

    • (string) --

  • DefaultCodeRepository (string) --

    The Git repository associated with the notebook instance as its default code repository. This can be either the name of a Git repository stored as a resource in your account, or the URL of a Git repository in Amazon Web Services CodeCommit or in any other Git repository. When you open a notebook instance, it opens in the directory that contains this repository. For more information, see Associating Git Repositories with SageMaker AI Notebook Instances.

  • AdditionalCodeRepositories (list) --

    An array of up to three Git repositories associated with the notebook instance. These can be either the names of Git repositories stored as resources in your account, or the URL of Git repositories in Amazon Web Services CodeCommit or in any other Git repository. These repositories are cloned at the same level as the default repository of your notebook instance. For more information, see Associating Git Repositories with SageMaker AI Notebook Instances.

    • (string) --

  • RootAccess (string) --

    Whether root access is enabled or disabled for users of the notebook instance.

  • PlatformIdentifier (string) --

    The platform identifier of the notebook instance runtime environment.

  • InstanceMetadataServiceConfiguration (dict) --

    Information on the IMDS configuration of the notebook instance

    • MinimumInstanceMetadataServiceVersion (string) --

      Indicates the minimum IMDS version that the notebook instance supports. When passed as part of CreateNotebookInstance, if no value is selected, then it defaults to IMDSv1. This means that both IMDSv1 and IMDSv2 are supported. If passed as part of UpdateNotebookInstance, there is no default.

{'NotebookInstances': {'InstanceType': {'ml.p6-b200.48xlarge'}}}

Returns a list of the SageMaker AI notebook instances in the requester's account in an Amazon Web Services Region.

See also: AWS API Documentation

Request Syntax

client.list_notebook_instances(
    NextToken='string',
    MaxResults=123,
    SortBy='Name'|'CreationTime'|'Status',
    SortOrder='Ascending'|'Descending',
    NameContains='string',
    CreationTimeBefore=datetime(2015, 1, 1),
    CreationTimeAfter=datetime(2015, 1, 1),
    LastModifiedTimeBefore=datetime(2015, 1, 1),
    LastModifiedTimeAfter=datetime(2015, 1, 1),
    StatusEquals='Pending'|'InService'|'Stopping'|'Stopped'|'Failed'|'Deleting'|'Updating',
    NotebookInstanceLifecycleConfigNameContains='string',
    DefaultCodeRepositoryContains='string',
    AdditionalCodeRepositoryEquals='string'
)

type NextToken:

string

param NextToken:

If the previous call to the ListNotebookInstances is truncated, the response includes a NextToken. You can use this token in your subsequent ListNotebookInstances request to fetch the next set of notebook instances.

type MaxResults:

integer

param MaxResults:

The maximum number of notebook instances to return.

type SortBy:

string

param SortBy:

The field to sort results by. The default is Name.

type SortOrder:

string

param SortOrder:

The sort order for results.

type NameContains:

string

param NameContains:

A string in the notebook instances' name. This filter returns only notebook instances whose name contains the specified string.

type CreationTimeBefore:

datetime

param CreationTimeBefore:

A filter that returns only notebook instances that were created before the specified time (timestamp).

type CreationTimeAfter:

datetime

param CreationTimeAfter:

A filter that returns only notebook instances that were created after the specified time (timestamp).

type LastModifiedTimeBefore:

datetime

param LastModifiedTimeBefore:

A filter that returns only notebook instances that were modified before the specified time (timestamp).

type LastModifiedTimeAfter:

datetime

param LastModifiedTimeAfter:

A filter that returns only notebook instances that were modified after the specified time (timestamp).

type StatusEquals:

string

param StatusEquals:

A filter that returns only notebook instances with the specified status.

type NotebookInstanceLifecycleConfigNameContains:

string

param NotebookInstanceLifecycleConfigNameContains:

A string in the name of a notebook instances lifecycle configuration associated with this notebook instance. This filter returns only notebook instances associated with a lifecycle configuration with a name that contains the specified string.

type DefaultCodeRepositoryContains:

string

param DefaultCodeRepositoryContains:

A string in the name or URL of a Git repository associated with this notebook instance. This filter returns only notebook instances associated with a git repository with a name that contains the specified string.

type AdditionalCodeRepositoryEquals:

string

param AdditionalCodeRepositoryEquals:

A filter that returns only notebook instances with associated with the specified git repository.

rtype:

dict

returns:

Response Syntax

{
    'NextToken': 'string',
    'NotebookInstances': [
        {
            'NotebookInstanceName': 'string',
            'NotebookInstanceArn': 'string',
            'NotebookInstanceStatus': 'Pending'|'InService'|'Stopping'|'Stopped'|'Failed'|'Deleting'|'Updating',
            'Url': 'string',
            'InstanceType': 'ml.t2.medium'|'ml.t2.large'|'ml.t2.xlarge'|'ml.t2.2xlarge'|'ml.t3.medium'|'ml.t3.large'|'ml.t3.xlarge'|'ml.t3.2xlarge'|'ml.m4.xlarge'|'ml.m4.2xlarge'|'ml.m4.4xlarge'|'ml.m4.10xlarge'|'ml.m4.16xlarge'|'ml.m5.xlarge'|'ml.m5.2xlarge'|'ml.m5.4xlarge'|'ml.m5.12xlarge'|'ml.m5.24xlarge'|'ml.m5d.large'|'ml.m5d.xlarge'|'ml.m5d.2xlarge'|'ml.m5d.4xlarge'|'ml.m5d.8xlarge'|'ml.m5d.12xlarge'|'ml.m5d.16xlarge'|'ml.m5d.24xlarge'|'ml.c4.xlarge'|'ml.c4.2xlarge'|'ml.c4.4xlarge'|'ml.c4.8xlarge'|'ml.c5.xlarge'|'ml.c5.2xlarge'|'ml.c5.4xlarge'|'ml.c5.9xlarge'|'ml.c5.18xlarge'|'ml.c5d.xlarge'|'ml.c5d.2xlarge'|'ml.c5d.4xlarge'|'ml.c5d.9xlarge'|'ml.c5d.18xlarge'|'ml.p2.xlarge'|'ml.p2.8xlarge'|'ml.p2.16xlarge'|'ml.p3.2xlarge'|'ml.p3.8xlarge'|'ml.p3.16xlarge'|'ml.p3dn.24xlarge'|'ml.g4dn.xlarge'|'ml.g4dn.2xlarge'|'ml.g4dn.4xlarge'|'ml.g4dn.8xlarge'|'ml.g4dn.12xlarge'|'ml.g4dn.16xlarge'|'ml.r5.large'|'ml.r5.xlarge'|'ml.r5.2xlarge'|'ml.r5.4xlarge'|'ml.r5.8xlarge'|'ml.r5.12xlarge'|'ml.r5.16xlarge'|'ml.r5.24xlarge'|'ml.g5.xlarge'|'ml.g5.2xlarge'|'ml.g5.4xlarge'|'ml.g5.8xlarge'|'ml.g5.16xlarge'|'ml.g5.12xlarge'|'ml.g5.24xlarge'|'ml.g5.48xlarge'|'ml.inf1.xlarge'|'ml.inf1.2xlarge'|'ml.inf1.6xlarge'|'ml.inf1.24xlarge'|'ml.trn1.2xlarge'|'ml.trn1.32xlarge'|'ml.trn1n.32xlarge'|'ml.inf2.xlarge'|'ml.inf2.8xlarge'|'ml.inf2.24xlarge'|'ml.inf2.48xlarge'|'ml.p4d.24xlarge'|'ml.p4de.24xlarge'|'ml.p5.48xlarge'|'ml.p6-b200.48xlarge'|'ml.m6i.large'|'ml.m6i.xlarge'|'ml.m6i.2xlarge'|'ml.m6i.4xlarge'|'ml.m6i.8xlarge'|'ml.m6i.12xlarge'|'ml.m6i.16xlarge'|'ml.m6i.24xlarge'|'ml.m6i.32xlarge'|'ml.m7i.large'|'ml.m7i.xlarge'|'ml.m7i.2xlarge'|'ml.m7i.4xlarge'|'ml.m7i.8xlarge'|'ml.m7i.12xlarge'|'ml.m7i.16xlarge'|'ml.m7i.24xlarge'|'ml.m7i.48xlarge'|'ml.c6i.large'|'ml.c6i.xlarge'|'ml.c6i.2xlarge'|'ml.c6i.4xlarge'|'ml.c6i.8xlarge'|'ml.c6i.12xlarge'|'ml.c6i.16xlarge'|'ml.c6i.24xlarge'|'ml.c6i.32xlarge'|'ml.c7i.large'|'ml.c7i.xlarge'|'ml.c7i.2xlarge'|'ml.c7i.4xlarge'|'ml.c7i.8xlarge'|'ml.c7i.12xlarge'|'ml.c7i.16xlarge'|'ml.c7i.24xlarge'|'ml.c7i.48xlarge'|'ml.r6i.large'|'ml.r6i.xlarge'|'ml.r6i.2xlarge'|'ml.r6i.4xlarge'|'ml.r6i.8xlarge'|'ml.r6i.12xlarge'|'ml.r6i.16xlarge'|'ml.r6i.24xlarge'|'ml.r6i.32xlarge'|'ml.r7i.large'|'ml.r7i.xlarge'|'ml.r7i.2xlarge'|'ml.r7i.4xlarge'|'ml.r7i.8xlarge'|'ml.r7i.12xlarge'|'ml.r7i.16xlarge'|'ml.r7i.24xlarge'|'ml.r7i.48xlarge'|'ml.m6id.large'|'ml.m6id.xlarge'|'ml.m6id.2xlarge'|'ml.m6id.4xlarge'|'ml.m6id.8xlarge'|'ml.m6id.12xlarge'|'ml.m6id.16xlarge'|'ml.m6id.24xlarge'|'ml.m6id.32xlarge'|'ml.c6id.large'|'ml.c6id.xlarge'|'ml.c6id.2xlarge'|'ml.c6id.4xlarge'|'ml.c6id.8xlarge'|'ml.c6id.12xlarge'|'ml.c6id.16xlarge'|'ml.c6id.24xlarge'|'ml.c6id.32xlarge'|'ml.r6id.large'|'ml.r6id.xlarge'|'ml.r6id.2xlarge'|'ml.r6id.4xlarge'|'ml.r6id.8xlarge'|'ml.r6id.12xlarge'|'ml.r6id.16xlarge'|'ml.r6id.24xlarge'|'ml.r6id.32xlarge'|'ml.g6.xlarge'|'ml.g6.2xlarge'|'ml.g6.4xlarge'|'ml.g6.8xlarge'|'ml.g6.12xlarge'|'ml.g6.16xlarge'|'ml.g6.24xlarge'|'ml.g6.48xlarge',
            'CreationTime': datetime(2015, 1, 1),
            'LastModifiedTime': datetime(2015, 1, 1),
            'NotebookInstanceLifecycleConfigName': 'string',
            'DefaultCodeRepository': 'string',
            'AdditionalCodeRepositories': [
                'string',
            ]
        },
    ]
}

Response Structure

• (dict) --

  • NextToken (string) --

    If the response to the previous ListNotebookInstances request was truncated, SageMaker AI returns this token. To retrieve the next set of notebook instances, use the token in the next request.

  • NotebookInstances (list) --

    An array of NotebookInstanceSummary objects, one for each notebook instance.

    • (dict) --

      Provides summary information for an SageMaker AI notebook instance.

      • NotebookInstanceName (string) --

        The name of the notebook instance that you want a summary for.

      • NotebookInstanceArn (string) --

        The Amazon Resource Name (ARN) of the notebook instance.

      • NotebookInstanceStatus (string) --

        The status of the notebook instance.

      • Url (string) --

        The URL that you use to connect to the Jupyter notebook running in your notebook instance.

      • InstanceType (string) --

        The type of ML compute instance that the notebook instance is running on.

      • CreationTime (datetime) --

        A timestamp that shows when the notebook instance was created.

      • LastModifiedTime (datetime) --

        A timestamp that shows when the notebook instance was last modified.

      • NotebookInstanceLifecycleConfigName (string) --

        The name of a notebook instance lifecycle configuration associated with this notebook instance.

        For information about notebook instance lifestyle configurations, see Step 2.1: (Optional) Customize a Notebook Instance.

      • DefaultCodeRepository (string) --

        The Git repository associated with the notebook instance as its default code repository. This can be either the name of a Git repository stored as a resource in your account, or the URL of a Git repository in Amazon Web Services CodeCommit or in any other Git repository. When you open a notebook instance, it opens in the directory that contains this repository. For more information, see Associating Git Repositories with SageMaker AI Notebook Instances.

      • AdditionalCodeRepositories (list) --

        An array of up to three Git repositories associated with the notebook instance. These can be either the names of Git repositories stored as resources in your account, or the URL of Git repositories in Amazon Web Services CodeCommit or in any other Git repository. These repositories are cloned at the same level as the default repository of your notebook instance. For more information, see Associating Git Repositories with SageMaker AI Notebook Instances.

        • (string) --

{'DesiredModelVariants': {'InfrastructureConfig': {'RealTimeInferenceConfig': {'InstanceType': {'ml.p6-b200.48xlarge'}}}}}

Stops an inference experiment.

See also: AWS API Documentation

Request Syntax

client.stop_inference_experiment(
    Name='string',
    ModelVariantActions={
        'string': 'Retain'|'Remove'|'Promote'
    },
    DesiredModelVariants=[
        {
            'ModelName': 'string',
            'VariantName': 'string',
            'InfrastructureConfig': {
                'InfrastructureType': 'RealTimeInference',
                'RealTimeInferenceConfig': {
                    'InstanceType': 'ml.t2.medium'|'ml.t2.large'|'ml.t2.xlarge'|'ml.t2.2xlarge'|'ml.t3.medium'|'ml.t3.large'|'ml.t3.xlarge'|'ml.t3.2xlarge'|'ml.m4.xlarge'|'ml.m4.2xlarge'|'ml.m4.4xlarge'|'ml.m4.10xlarge'|'ml.m4.16xlarge'|'ml.m5.xlarge'|'ml.m5.2xlarge'|'ml.m5.4xlarge'|'ml.m5.12xlarge'|'ml.m5.24xlarge'|'ml.m5d.large'|'ml.m5d.xlarge'|'ml.m5d.2xlarge'|'ml.m5d.4xlarge'|'ml.m5d.8xlarge'|'ml.m5d.12xlarge'|'ml.m5d.16xlarge'|'ml.m5d.24xlarge'|'ml.c4.xlarge'|'ml.c4.2xlarge'|'ml.c4.4xlarge'|'ml.c4.8xlarge'|'ml.c5.xlarge'|'ml.c5.2xlarge'|'ml.c5.4xlarge'|'ml.c5.9xlarge'|'ml.c5.18xlarge'|'ml.c5d.xlarge'|'ml.c5d.2xlarge'|'ml.c5d.4xlarge'|'ml.c5d.9xlarge'|'ml.c5d.18xlarge'|'ml.p2.xlarge'|'ml.p2.8xlarge'|'ml.p2.16xlarge'|'ml.p3.2xlarge'|'ml.p3.8xlarge'|'ml.p3.16xlarge'|'ml.p3dn.24xlarge'|'ml.g4dn.xlarge'|'ml.g4dn.2xlarge'|'ml.g4dn.4xlarge'|'ml.g4dn.8xlarge'|'ml.g4dn.12xlarge'|'ml.g4dn.16xlarge'|'ml.r5.large'|'ml.r5.xlarge'|'ml.r5.2xlarge'|'ml.r5.4xlarge'|'ml.r5.8xlarge'|'ml.r5.12xlarge'|'ml.r5.16xlarge'|'ml.r5.24xlarge'|'ml.g5.xlarge'|'ml.g5.2xlarge'|'ml.g5.4xlarge'|'ml.g5.8xlarge'|'ml.g5.16xlarge'|'ml.g5.12xlarge'|'ml.g5.24xlarge'|'ml.g5.48xlarge'|'ml.inf1.xlarge'|'ml.inf1.2xlarge'|'ml.inf1.6xlarge'|'ml.inf1.24xlarge'|'ml.trn1.2xlarge'|'ml.trn1.32xlarge'|'ml.trn1n.32xlarge'|'ml.inf2.xlarge'|'ml.inf2.8xlarge'|'ml.inf2.24xlarge'|'ml.inf2.48xlarge'|'ml.p4d.24xlarge'|'ml.p4de.24xlarge'|'ml.p5.48xlarge'|'ml.p6-b200.48xlarge'|'ml.m6i.large'|'ml.m6i.xlarge'|'ml.m6i.2xlarge'|'ml.m6i.4xlarge'|'ml.m6i.8xlarge'|'ml.m6i.12xlarge'|'ml.m6i.16xlarge'|'ml.m6i.24xlarge'|'ml.m6i.32xlarge'|'ml.m7i.large'|'ml.m7i.xlarge'|'ml.m7i.2xlarge'|'ml.m7i.4xlarge'|'ml.m7i.8xlarge'|'ml.m7i.12xlarge'|'ml.m7i.16xlarge'|'ml.m7i.24xlarge'|'ml.m7i.48xlarge'|'ml.c6i.large'|'ml.c6i.xlarge'|'ml.c6i.2xlarge'|'ml.c6i.4xlarge'|'ml.c6i.8xlarge'|'ml.c6i.12xlarge'|'ml.c6i.16xlarge'|'ml.c6i.24xlarge'|'ml.c6i.32xlarge'|'ml.c7i.large'|'ml.c7i.xlarge'|'ml.c7i.2xlarge'|'ml.c7i.4xlarge'|'ml.c7i.8xlarge'|'ml.c7i.12xlarge'|'ml.c7i.16xlarge'|'ml.c7i.24xlarge'|'ml.c7i.48xlarge'|'ml.r6i.large'|'ml.r6i.xlarge'|'ml.r6i.2xlarge'|'ml.r6i.4xlarge'|'ml.r6i.8xlarge'|'ml.r6i.12xlarge'|'ml.r6i.16xlarge'|'ml.r6i.24xlarge'|'ml.r6i.32xlarge'|'ml.r7i.large'|'ml.r7i.xlarge'|'ml.r7i.2xlarge'|'ml.r7i.4xlarge'|'ml.r7i.8xlarge'|'ml.r7i.12xlarge'|'ml.r7i.16xlarge'|'ml.r7i.24xlarge'|'ml.r7i.48xlarge'|'ml.m6id.large'|'ml.m6id.xlarge'|'ml.m6id.2xlarge'|'ml.m6id.4xlarge'|'ml.m6id.8xlarge'|'ml.m6id.12xlarge'|'ml.m6id.16xlarge'|'ml.m6id.24xlarge'|'ml.m6id.32xlarge'|'ml.c6id.large'|'ml.c6id.xlarge'|'ml.c6id.2xlarge'|'ml.c6id.4xlarge'|'ml.c6id.8xlarge'|'ml.c6id.12xlarge'|'ml.c6id.16xlarge'|'ml.c6id.24xlarge'|'ml.c6id.32xlarge'|'ml.r6id.large'|'ml.r6id.xlarge'|'ml.r6id.2xlarge'|'ml.r6id.4xlarge'|'ml.r6id.8xlarge'|'ml.r6id.12xlarge'|'ml.r6id.16xlarge'|'ml.r6id.24xlarge'|'ml.r6id.32xlarge'|'ml.g6.xlarge'|'ml.g6.2xlarge'|'ml.g6.4xlarge'|'ml.g6.8xlarge'|'ml.g6.12xlarge'|'ml.g6.16xlarge'|'ml.g6.24xlarge'|'ml.g6.48xlarge',
                    'InstanceCount': 123
                }
            }
        },
    ],
    DesiredState='Completed'|'Cancelled',
    Reason='string'
)

type Name:

string

param Name:

[REQUIRED]

The name of the inference experiment to stop.

type ModelVariantActions:

dict

param ModelVariantActions:

[REQUIRED]

Array of key-value pairs, with names of variants mapped to actions. The possible actions are the following:

• Promote - Promote the shadow variant to a production variant

• Remove - Delete the variant

• Retain - Keep the variant as it is

• (string) --

  • (string) --

type DesiredModelVariants:

list

param DesiredModelVariants:

An array of ModelVariantConfig objects. There is one for each variant that you want to deploy after the inference experiment stops. Each ModelVariantConfig describes the infrastructure configuration for deploying the corresponding variant.

• (dict) --

  Contains information about the deployment options of a model.

  • ModelName (string) -- [REQUIRED]

    The name of the Amazon SageMaker Model entity.

  • VariantName (string) -- [REQUIRED]

    The name of the variant.

  • InfrastructureConfig (dict) -- [REQUIRED]

    The configuration for the infrastructure that the model will be deployed to.

    • InfrastructureType (string) -- [REQUIRED]

      The inference option to which to deploy your model. Possible values are the following:

      • RealTime: Deploy to real-time inference.

    • RealTimeInferenceConfig (dict) -- [REQUIRED]

      The infrastructure configuration for deploying the model to real-time inference.

      • InstanceType (string) -- [REQUIRED]

        The instance type the model is deployed to.

      • InstanceCount (integer) -- [REQUIRED]

        The number of instances of the type specified by InstanceType.

type DesiredState:

string

param DesiredState:

The desired state of the experiment after stopping. The possible states are the following:

• Completed: The experiment completed successfully

• Cancelled: The experiment was canceled

type Reason:

string

param Reason:

The reason for stopping the experiment.

rtype:

dict

returns:

Response Syntax

{
    'InferenceExperimentArn': 'string'
}

Response Structure

• (dict) --

  • InferenceExperimentArn (string) --

    The ARN of the stopped inference experiment.

{'DomainSettingsForUpdate': {'DockerSettings': {'RootlessDocker': 'ENABLED | '
                                                                  'DISABLED'}}}

Updates the default settings for new user profiles in the domain.

See also: AWS API Documentation

Request Syntax

client.update_domain(
    DomainId='string',
    DefaultUserSettings={
        'ExecutionRole': 'string',
        'SecurityGroups': [
            'string',
        ],
        'SharingSettings': {
            'NotebookOutputOption': 'Allowed'|'Disabled',
            'S3OutputPath': 'string',
            'S3KmsKeyId': 'string'
        },
        'JupyterServerAppSettings': {
            'DefaultResourceSpec': {
                'SageMakerImageArn': 'string',
                'SageMakerImageVersionArn': 'string',
                'SageMakerImageVersionAlias': 'string',
                'InstanceType': 'system'|'ml.t3.micro'|'ml.t3.small'|'ml.t3.medium'|'ml.t3.large'|'ml.t3.xlarge'|'ml.t3.2xlarge'|'ml.m5.large'|'ml.m5.xlarge'|'ml.m5.2xlarge'|'ml.m5.4xlarge'|'ml.m5.8xlarge'|'ml.m5.12xlarge'|'ml.m5.16xlarge'|'ml.m5.24xlarge'|'ml.m5d.large'|'ml.m5d.xlarge'|'ml.m5d.2xlarge'|'ml.m5d.4xlarge'|'ml.m5d.8xlarge'|'ml.m5d.12xlarge'|'ml.m5d.16xlarge'|'ml.m5d.24xlarge'|'ml.c5.large'|'ml.c5.xlarge'|'ml.c5.2xlarge'|'ml.c5.4xlarge'|'ml.c5.9xlarge'|'ml.c5.12xlarge'|'ml.c5.18xlarge'|'ml.c5.24xlarge'|'ml.p3.2xlarge'|'ml.p3.8xlarge'|'ml.p3.16xlarge'|'ml.p3dn.24xlarge'|'ml.g4dn.xlarge'|'ml.g4dn.2xlarge'|'ml.g4dn.4xlarge'|'ml.g4dn.8xlarge'|'ml.g4dn.12xlarge'|'ml.g4dn.16xlarge'|'ml.r5.large'|'ml.r5.xlarge'|'ml.r5.2xlarge'|'ml.r5.4xlarge'|'ml.r5.8xlarge'|'ml.r5.12xlarge'|'ml.r5.16xlarge'|'ml.r5.24xlarge'|'ml.g5.xlarge'|'ml.g5.2xlarge'|'ml.g5.4xlarge'|'ml.g5.8xlarge'|'ml.g5.16xlarge'|'ml.g5.12xlarge'|'ml.g5.24xlarge'|'ml.g5.48xlarge'|'ml.g6.xlarge'|'ml.g6.2xlarge'|'ml.g6.4xlarge'|'ml.g6.8xlarge'|'ml.g6.12xlarge'|'ml.g6.16xlarge'|'ml.g6.24xlarge'|'ml.g6.48xlarge'|'ml.g6e.xlarge'|'ml.g6e.2xlarge'|'ml.g6e.4xlarge'|'ml.g6e.8xlarge'|'ml.g6e.12xlarge'|'ml.g6e.16xlarge'|'ml.g6e.24xlarge'|'ml.g6e.48xlarge'|'ml.geospatial.interactive'|'ml.p4d.24xlarge'|'ml.p4de.24xlarge'|'ml.trn1.2xlarge'|'ml.trn1.32xlarge'|'ml.trn1n.32xlarge'|'ml.p5.48xlarge'|'ml.p5en.48xlarge'|'ml.m6i.large'|'ml.m6i.xlarge'|'ml.m6i.2xlarge'|'ml.m6i.4xlarge'|'ml.m6i.8xlarge'|'ml.m6i.12xlarge'|'ml.m6i.16xlarge'|'ml.m6i.24xlarge'|'ml.m6i.32xlarge'|'ml.m7i.large'|'ml.m7i.xlarge'|'ml.m7i.2xlarge'|'ml.m7i.4xlarge'|'ml.m7i.8xlarge'|'ml.m7i.12xlarge'|'ml.m7i.16xlarge'|'ml.m7i.24xlarge'|'ml.m7i.48xlarge'|'ml.c6i.large'|'ml.c6i.xlarge'|'ml.c6i.2xlarge'|'ml.c6i.4xlarge'|'ml.c6i.8xlarge'|'ml.c6i.12xlarge'|'ml.c6i.16xlarge'|'ml.c6i.24xlarge'|'ml.c6i.32xlarge'|'ml.c7i.large'|'ml.c7i.xlarge'|'ml.c7i.2xlarge'|'ml.c7i.4xlarge'|'ml.c7i.8xlarge'|'ml.c7i.12xlarge'|'ml.c7i.16xlarge'|'ml.c7i.24xlarge'|'ml.c7i.48xlarge'|'ml.r6i.large'|'ml.r6i.xlarge'|'ml.r6i.2xlarge'|'ml.r6i.4xlarge'|'ml.r6i.8xlarge'|'ml.r6i.12xlarge'|'ml.r6i.16xlarge'|'ml.r6i.24xlarge'|'ml.r6i.32xlarge'|'ml.r7i.large'|'ml.r7i.xlarge'|'ml.r7i.2xlarge'|'ml.r7i.4xlarge'|'ml.r7i.8xlarge'|'ml.r7i.12xlarge'|'ml.r7i.16xlarge'|'ml.r7i.24xlarge'|'ml.r7i.48xlarge'|'ml.m6id.large'|'ml.m6id.xlarge'|'ml.m6id.2xlarge'|'ml.m6id.4xlarge'|'ml.m6id.8xlarge'|'ml.m6id.12xlarge'|'ml.m6id.16xlarge'|'ml.m6id.24xlarge'|'ml.m6id.32xlarge'|'ml.c6id.large'|'ml.c6id.xlarge'|'ml.c6id.2xlarge'|'ml.c6id.4xlarge'|'ml.c6id.8xlarge'|'ml.c6id.12xlarge'|'ml.c6id.16xlarge'|'ml.c6id.24xlarge'|'ml.c6id.32xlarge'|'ml.r6id.large'|'ml.r6id.xlarge'|'ml.r6id.2xlarge'|'ml.r6id.4xlarge'|'ml.r6id.8xlarge'|'ml.r6id.12xlarge'|'ml.r6id.16xlarge'|'ml.r6id.24xlarge'|'ml.r6id.32xlarge',
                'LifecycleConfigArn': 'string'
            },
            'LifecycleConfigArns': [
                'string',
            ],
            'CodeRepositories': [
                {
                    'RepositoryUrl': 'string'
                },
            ]
        },
        'KernelGatewayAppSettings': {
            'DefaultResourceSpec': {
                'SageMakerImageArn': 'string',
                'SageMakerImageVersionArn': 'string',
                'SageMakerImageVersionAlias': 'string',
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            'CustomImages': [
                {
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                    'AppImageConfigName': 'string'
                },
            ],
            'LifecycleConfigArns': [
                'string',
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            'AppLifecycleManagement': {
                'IdleSettings': {
                    'LifecycleManagement': 'ENABLED'|'DISABLED',
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                    'MinIdleTimeoutInMinutes': 123,
                    'MaxIdleTimeoutInMinutes': 123
                }
            },
            'BuiltInLifecycleConfigArn': 'string'
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        'JupyterLabAppSettings': {
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                'SageMakerImageArn': 'string',
                'SageMakerImageVersionArn': 'string',
                'SageMakerImageVersionAlias': 'string',
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                'LifecycleConfigArn': 'string'
            },
            'CustomImages': [
                {
                    'ImageName': 'string',
                    'ImageVersionNumber': 123,
                    'AppImageConfigName': 'string'
                },
            ],
            'LifecycleConfigArns': [
                'string',
            ],
            'CodeRepositories': [
                {
                    'RepositoryUrl': 'string'
                },
            ],
            'AppLifecycleManagement': {
                'IdleSettings': {
                    'LifecycleManagement': 'ENABLED'|'DISABLED',
                    'IdleTimeoutInMinutes': 123,
                    'MinIdleTimeoutInMinutes': 123,
                    'MaxIdleTimeoutInMinutes': 123
                }
            },
            'EmrSettings': {
                'AssumableRoleArns': [
                    'string',
                ],
                'ExecutionRoleArns': [
                    'string',
                ]
            },
            'BuiltInLifecycleConfigArn': 'string'
        },
        'SpaceStorageSettings': {
            'DefaultEbsStorageSettings': {
                'DefaultEbsVolumeSizeInGb': 123,
                'MaximumEbsVolumeSizeInGb': 123
            }
        },
        'DefaultLandingUri': 'string',
        'StudioWebPortal': 'ENABLED'|'DISABLED',
        'CustomPosixUserConfig': {
            'Uid': 123,
            'Gid': 123
        },
        'CustomFileSystemConfigs': [
            {
                'EFSFileSystemConfig': {
                    'FileSystemId': 'string',
                    'FileSystemPath': 'string'
                },
                'FSxLustreFileSystemConfig': {
                    'FileSystemId': 'string',
                    'FileSystemPath': 'string'
                },
                'S3FileSystemConfig': {
                    'MountPath': 'string',
                    'S3Uri': 'string'
                }
            },
        ],
        'StudioWebPortalSettings': {
            'HiddenMlTools': [
                'DataWrangler'|'FeatureStore'|'EmrClusters'|'AutoMl'|'Experiments'|'Training'|'ModelEvaluation'|'Pipelines'|'Models'|'JumpStart'|'InferenceRecommender'|'Endpoints'|'Projects'|'InferenceOptimization'|'PerformanceEvaluation'|'LakeraGuard'|'Comet'|'DeepchecksLLMEvaluation'|'Fiddler'|'HyperPodClusters',
            ],
            'HiddenAppTypes': [
                'JupyterServer'|'KernelGateway'|'DetailedProfiler'|'TensorBoard'|'CodeEditor'|'JupyterLab'|'RStudioServerPro'|'RSessionGateway'|'Canvas',
            ],
            'HiddenInstanceTypes': [
                'system'|'ml.t3.micro'|'ml.t3.small'|'ml.t3.medium'|'ml.t3.large'|'ml.t3.xlarge'|'ml.t3.2xlarge'|'ml.m5.large'|'ml.m5.xlarge'|'ml.m5.2xlarge'|'ml.m5.4xlarge'|'ml.m5.8xlarge'|'ml.m5.12xlarge'|'ml.m5.16xlarge'|'ml.m5.24xlarge'|'ml.m5d.large'|'ml.m5d.xlarge'|'ml.m5d.2xlarge'|'ml.m5d.4xlarge'|'ml.m5d.8xlarge'|'ml.m5d.12xlarge'|'ml.m5d.16xlarge'|'ml.m5d.24xlarge'|'ml.c5.large'|'ml.c5.xlarge'|'ml.c5.2xlarge'|'ml.c5.4xlarge'|'ml.c5.9xlarge'|'ml.c5.12xlarge'|'ml.c5.18xlarge'|'ml.c5.24xlarge'|'ml.p3.2xlarge'|'ml.p3.8xlarge'|'ml.p3.16xlarge'|'ml.p3dn.24xlarge'|'ml.g4dn.xlarge'|'ml.g4dn.2xlarge'|'ml.g4dn.4xlarge'|'ml.g4dn.8xlarge'|'ml.g4dn.12xlarge'|'ml.g4dn.16xlarge'|'ml.r5.large'|'ml.r5.xlarge'|'ml.r5.2xlarge'|'ml.r5.4xlarge'|'ml.r5.8xlarge'|'ml.r5.12xlarge'|'ml.r5.16xlarge'|'ml.r5.24xlarge'|'ml.g5.xlarge'|'ml.g5.2xlarge'|'ml.g5.4xlarge'|'ml.g5.8xlarge'|'ml.g5.16xlarge'|'ml.g5.12xlarge'|'ml.g5.24xlarge'|'ml.g5.48xlarge'|'ml.g6.xlarge'|'ml.g6.2xlarge'|'ml.g6.4xlarge'|'ml.g6.8xlarge'|'ml.g6.12xlarge'|'ml.g6.16xlarge'|'ml.g6.24xlarge'|'ml.g6.48xlarge'|'ml.g6e.xlarge'|'ml.g6e.2xlarge'|'ml.g6e.4xlarge'|'ml.g6e.8xlarge'|'ml.g6e.12xlarge'|'ml.g6e.16xlarge'|'ml.g6e.24xlarge'|'ml.g6e.48xlarge'|'ml.geospatial.interactive'|'ml.p4d.24xlarge'|'ml.p4de.24xlarge'|'ml.trn1.2xlarge'|'ml.trn1.32xlarge'|'ml.trn1n.32xlarge'|'ml.p5.48xlarge'|'ml.p5en.48xlarge'|'ml.m6i.large'|'ml.m6i.xlarge'|'ml.m6i.2xlarge'|'ml.m6i.4xlarge'|'ml.m6i.8xlarge'|'ml.m6i.12xlarge'|'ml.m6i.16xlarge'|'ml.m6i.24xlarge'|'ml.m6i.32xlarge'|'ml.m7i.large'|'ml.m7i.xlarge'|'ml.m7i.2xlarge'|'ml.m7i.4xlarge'|'ml.m7i.8xlarge'|'ml.m7i.12xlarge'|'ml.m7i.16xlarge'|'ml.m7i.24xlarge'|'ml.m7i.48xlarge'|'ml.c6i.large'|'ml.c6i.xlarge'|'ml.c6i.2xlarge'|'ml.c6i.4xlarge'|'ml.c6i.8xlarge'|'ml.c6i.12xlarge'|'ml.c6i.16xlarge'|'ml.c6i.24xlarge'|'ml.c6i.32xlarge'|'ml.c7i.large'|'ml.c7i.xlarge'|'ml.c7i.2xlarge'|'ml.c7i.4xlarge'|'ml.c7i.8xlarge'|'ml.c7i.12xlarge'|'ml.c7i.16xlarge'|'ml.c7i.24xlarge'|'ml.c7i.48xlarge'|'ml.r6i.large'|'ml.r6i.xlarge'|'ml.r6i.2xlarge'|'ml.r6i.4xlarge'|'ml.r6i.8xlarge'|'ml.r6i.12xlarge'|'ml.r6i.16xlarge'|'ml.r6i.24xlarge'|'ml.r6i.32xlarge'|'ml.r7i.large'|'ml.r7i.xlarge'|'ml.r7i.2xlarge'|'ml.r7i.4xlarge'|'ml.r7i.8xlarge'|'ml.r7i.12xlarge'|'ml.r7i.16xlarge'|'ml.r7i.24xlarge'|'ml.r7i.48xlarge'|'ml.m6id.large'|'ml.m6id.xlarge'|'ml.m6id.2xlarge'|'ml.m6id.4xlarge'|'ml.m6id.8xlarge'|'ml.m6id.12xlarge'|'ml.m6id.16xlarge'|'ml.m6id.24xlarge'|'ml.m6id.32xlarge'|'ml.c6id.large'|'ml.c6id.xlarge'|'ml.c6id.2xlarge'|'ml.c6id.4xlarge'|'ml.c6id.8xlarge'|'ml.c6id.12xlarge'|'ml.c6id.16xlarge'|'ml.c6id.24xlarge'|'ml.c6id.32xlarge'|'ml.r6id.large'|'ml.r6id.xlarge'|'ml.r6id.2xlarge'|'ml.r6id.4xlarge'|'ml.r6id.8xlarge'|'ml.r6id.12xlarge'|'ml.r6id.16xlarge'|'ml.r6id.24xlarge'|'ml.r6id.32xlarge',
            ],
            'HiddenSageMakerImageVersionAliases': [
                {
                    'SageMakerImageName': 'sagemaker_distribution',
                    'VersionAliases': [
                        'string',
                    ]
                },
            ]
        },
        'AutoMountHomeEFS': 'Enabled'|'Disabled'|'DefaultAsDomain'
    },
    DomainSettingsForUpdate={
        'RStudioServerProDomainSettingsForUpdate': {
            'DomainExecutionRoleArn': 'string',
            'DefaultResourceSpec': {
                'SageMakerImageArn': 'string',
                'SageMakerImageVersionArn': 'string',
                'SageMakerImageVersionAlias': 'string',
                'InstanceType': 'system'|'ml.t3.micro'|'ml.t3.small'|'ml.t3.medium'|'ml.t3.large'|'ml.t3.xlarge'|'ml.t3.2xlarge'|'ml.m5.large'|'ml.m5.xlarge'|'ml.m5.2xlarge'|'ml.m5.4xlarge'|'ml.m5.8xlarge'|'ml.m5.12xlarge'|'ml.m5.16xlarge'|'ml.m5.24xlarge'|'ml.m5d.large'|'ml.m5d.xlarge'|'ml.m5d.2xlarge'|'ml.m5d.4xlarge'|'ml.m5d.8xlarge'|'ml.m5d.12xlarge'|'ml.m5d.16xlarge'|'ml.m5d.24xlarge'|'ml.c5.large'|'ml.c5.xlarge'|'ml.c5.2xlarge'|'ml.c5.4xlarge'|'ml.c5.9xlarge'|'ml.c5.12xlarge'|'ml.c5.18xlarge'|'ml.c5.24xlarge'|'ml.p3.2xlarge'|'ml.p3.8xlarge'|'ml.p3.16xlarge'|'ml.p3dn.24xlarge'|'ml.g4dn.xlarge'|'ml.g4dn.2xlarge'|'ml.g4dn.4xlarge'|'ml.g4dn.8xlarge'|'ml.g4dn.12xlarge'|'ml.g4dn.16xlarge'|'ml.r5.large'|'ml.r5.xlarge'|'ml.r5.2xlarge'|'ml.r5.4xlarge'|'ml.r5.8xlarge'|'ml.r5.12xlarge'|'ml.r5.16xlarge'|'ml.r5.24xlarge'|'ml.g5.xlarge'|'ml.g5.2xlarge'|'ml.g5.4xlarge'|'ml.g5.8xlarge'|'ml.g5.16xlarge'|'ml.g5.12xlarge'|'ml.g5.24xlarge'|'ml.g5.48xlarge'|'ml.g6.xlarge'|'ml.g6.2xlarge'|'ml.g6.4xlarge'|'ml.g6.8xlarge'|'ml.g6.12xlarge'|'ml.g6.16xlarge'|'ml.g6.24xlarge'|'ml.g6.48xlarge'|'ml.g6e.xlarge'|'ml.g6e.2xlarge'|'ml.g6e.4xlarge'|'ml.g6e.8xlarge'|'ml.g6e.12xlarge'|'ml.g6e.16xlarge'|'ml.g6e.24xlarge'|'ml.g6e.48xlarge'|'ml.geospatial.interactive'|'ml.p4d.24xlarge'|'ml.p4de.24xlarge'|'ml.trn1.2xlarge'|'ml.trn1.32xlarge'|'ml.trn1n.32xlarge'|'ml.p5.48xlarge'|'ml.p5en.48xlarge'|'ml.m6i.large'|'ml.m6i.xlarge'|'ml.m6i.2xlarge'|'ml.m6i.4xlarge'|'ml.m6i.8xlarge'|'ml.m6i.12xlarge'|'ml.m6i.16xlarge'|'ml.m6i.24xlarge'|'ml.m6i.32xlarge'|'ml.m7i.large'|'ml.m7i.xlarge'|'ml.m7i.2xlarge'|'ml.m7i.4xlarge'|'ml.m7i.8xlarge'|'ml.m7i.12xlarge'|'ml.m7i.16xlarge'|'ml.m7i.24xlarge'|'ml.m7i.48xlarge'|'ml.c6i.large'|'ml.c6i.xlarge'|'ml.c6i.2xlarge'|'ml.c6i.4xlarge'|'ml.c6i.8xlarge'|'ml.c6i.12xlarge'|'ml.c6i.16xlarge'|'ml.c6i.24xlarge'|'ml.c6i.32xlarge'|'ml.c7i.large'|'ml.c7i.xlarge'|'ml.c7i.2xlarge'|'ml.c7i.4xlarge'|'ml.c7i.8xlarge'|'ml.c7i.12xlarge'|'ml.c7i.16xlarge'|'ml.c7i.24xlarge'|'ml.c7i.48xlarge'|'ml.r6i.large'|'ml.r6i.xlarge'|'ml.r6i.2xlarge'|'ml.r6i.4xlarge'|'ml.r6i.8xlarge'|'ml.r6i.12xlarge'|'ml.r6i.16xlarge'|'ml.r6i.24xlarge'|'ml.r6i.32xlarge'|'ml.r7i.large'|'ml.r7i.xlarge'|'ml.r7i.2xlarge'|'ml.r7i.4xlarge'|'ml.r7i.8xlarge'|'ml.r7i.12xlarge'|'ml.r7i.16xlarge'|'ml.r7i.24xlarge'|'ml.r7i.48xlarge'|'ml.m6id.large'|'ml.m6id.xlarge'|'ml.m6id.2xlarge'|'ml.m6id.4xlarge'|'ml.m6id.8xlarge'|'ml.m6id.12xlarge'|'ml.m6id.16xlarge'|'ml.m6id.24xlarge'|'ml.m6id.32xlarge'|'ml.c6id.large'|'ml.c6id.xlarge'|'ml.c6id.2xlarge'|'ml.c6id.4xlarge'|'ml.c6id.8xlarge'|'ml.c6id.12xlarge'|'ml.c6id.16xlarge'|'ml.c6id.24xlarge'|'ml.c6id.32xlarge'|'ml.r6id.large'|'ml.r6id.xlarge'|'ml.r6id.2xlarge'|'ml.r6id.4xlarge'|'ml.r6id.8xlarge'|'ml.r6id.12xlarge'|'ml.r6id.16xlarge'|'ml.r6id.24xlarge'|'ml.r6id.32xlarge',
                'LifecycleConfigArn': 'string'
            },
            'RStudioConnectUrl': 'string',
            'RStudioPackageManagerUrl': 'string'
        },
        'ExecutionRoleIdentityConfig': 'USER_PROFILE_NAME'|'DISABLED',
        'SecurityGroupIds': [
            'string',
        ],
        'TrustedIdentityPropagationSettings': {
            'Status': 'ENABLED'|'DISABLED'
        },
        'DockerSettings': {
            'EnableDockerAccess': 'ENABLED'|'DISABLED',
            'VpcOnlyTrustedAccounts': [
                'string',
            ],
            'RootlessDocker': 'ENABLED'|'DISABLED'
        },
        'AmazonQSettings': {
            'Status': 'ENABLED'|'DISABLED',
            'QProfileArn': 'string'
        },
        'UnifiedStudioSettings': {
            'StudioWebPortalAccess': 'ENABLED'|'DISABLED',
            'DomainAccountId': 'string',
            'DomainRegion': 'string',
            'DomainId': 'string',
            'ProjectId': 'string',
            'EnvironmentId': 'string',
            'ProjectS3Path': 'string',
            'SingleSignOnApplicationArn': 'string'
        }
    },
    AppSecurityGroupManagement='Service'|'Customer',
    DefaultSpaceSettings={
        'ExecutionRole': 'string',
        'SecurityGroups': [
            'string',
        ],
        'JupyterServerAppSettings': {
            'DefaultResourceSpec': {
                'SageMakerImageArn': 'string',
                'SageMakerImageVersionArn': 'string',
                'SageMakerImageVersionAlias': 'string',
                'InstanceType': 'system'|'ml.t3.micro'|'ml.t3.small'|'ml.t3.medium'|'ml.t3.large'|'ml.t3.xlarge'|'ml.t3.2xlarge'|'ml.m5.large'|'ml.m5.xlarge'|'ml.m5.2xlarge'|'ml.m5.4xlarge'|'ml.m5.8xlarge'|'ml.m5.12xlarge'|'ml.m5.16xlarge'|'ml.m5.24xlarge'|'ml.m5d.large'|'ml.m5d.xlarge'|'ml.m5d.2xlarge'|'ml.m5d.4xlarge'|'ml.m5d.8xlarge'|'ml.m5d.12xlarge'|'ml.m5d.16xlarge'|'ml.m5d.24xlarge'|'ml.c5.large'|'ml.c5.xlarge'|'ml.c5.2xlarge'|'ml.c5.4xlarge'|'ml.c5.9xlarge'|'ml.c5.12xlarge'|'ml.c5.18xlarge'|'ml.c5.24xlarge'|'ml.p3.2xlarge'|'ml.p3.8xlarge'|'ml.p3.16xlarge'|'ml.p3dn.24xlarge'|'ml.g4dn.xlarge'|'ml.g4dn.2xlarge'|'ml.g4dn.4xlarge'|'ml.g4dn.8xlarge'|'ml.g4dn.12xlarge'|'ml.g4dn.16xlarge'|'ml.r5.large'|'ml.r5.xlarge'|'ml.r5.2xlarge'|'ml.r5.4xlarge'|'ml.r5.8xlarge'|'ml.r5.12xlarge'|'ml.r5.16xlarge'|'ml.r5.24xlarge'|'ml.g5.xlarge'|'ml.g5.2xlarge'|'ml.g5.4xlarge'|'ml.g5.8xlarge'|'ml.g5.16xlarge'|'ml.g5.12xlarge'|'ml.g5.24xlarge'|'ml.g5.48xlarge'|'ml.g6.xlarge'|'ml.g6.2xlarge'|'ml.g6.4xlarge'|'ml.g6.8xlarge'|'ml.g6.12xlarge'|'ml.g6.16xlarge'|'ml.g6.24xlarge'|'ml.g6.48xlarge'|'ml.g6e.xlarge'|'ml.g6e.2xlarge'|'ml.g6e.4xlarge'|'ml.g6e.8xlarge'|'ml.g6e.12xlarge'|'ml.g6e.16xlarge'|'ml.g6e.24xlarge'|'ml.g6e.48xlarge'|'ml.geospatial.interactive'|'ml.p4d.24xlarge'|'ml.p4de.24xlarge'|'ml.trn1.2xlarge'|'ml.trn1.32xlarge'|'ml.trn1n.32xlarge'|'ml.p5.48xlarge'|'ml.p5en.48xlarge'|'ml.m6i.large'|'ml.m6i.xlarge'|'ml.m6i.2xlarge'|'ml.m6i.4xlarge'|'ml.m6i.8xlarge'|'ml.m6i.12xlarge'|'ml.m6i.16xlarge'|'ml.m6i.24xlarge'|'ml.m6i.32xlarge'|'ml.m7i.large'|'ml.m7i.xlarge'|'ml.m7i.2xlarge'|'ml.m7i.4xlarge'|'ml.m7i.8xlarge'|'ml.m7i.12xlarge'|'ml.m7i.16xlarge'|'ml.m7i.24xlarge'|'ml.m7i.48xlarge'|'ml.c6i.large'|'ml.c6i.xlarge'|'ml.c6i.2xlarge'|'ml.c6i.4xlarge'|'ml.c6i.8xlarge'|'ml.c6i.12xlarge'|'ml.c6i.16xlarge'|'ml.c6i.24xlarge'|'ml.c6i.32xlarge'|'ml.c7i.large'|'ml.c7i.xlarge'|'ml.c7i.2xlarge'|'ml.c7i.4xlarge'|'ml.c7i.8xlarge'|'ml.c7i.12xlarge'|'ml.c7i.16xlarge'|'ml.c7i.24xlarge'|'ml.c7i.48xlarge'|'ml.r6i.large'|'ml.r6i.xlarge'|'ml.r6i.2xlarge'|'ml.r6i.4xlarge'|'ml.r6i.8xlarge'|'ml.r6i.12xlarge'|'ml.r6i.16xlarge'|'ml.r6i.24xlarge'|'ml.r6i.32xlarge'|'ml.r7i.large'|'ml.r7i.xlarge'|'ml.r7i.2xlarge'|'ml.r7i.4xlarge'|'ml.r7i.8xlarge'|'ml.r7i.12xlarge'|'ml.r7i.16xlarge'|'ml.r7i.24xlarge'|'ml.r7i.48xlarge'|'ml.m6id.large'|'ml.m6id.xlarge'|'ml.m6id.2xlarge'|'ml.m6id.4xlarge'|'ml.m6id.8xlarge'|'ml.m6id.12xlarge'|'ml.m6id.16xlarge'|'ml.m6id.24xlarge'|'ml.m6id.32xlarge'|'ml.c6id.large'|'ml.c6id.xlarge'|'ml.c6id.2xlarge'|'ml.c6id.4xlarge'|'ml.c6id.8xlarge'|'ml.c6id.12xlarge'|'ml.c6id.16xlarge'|'ml.c6id.24xlarge'|'ml.c6id.32xlarge'|'ml.r6id.large'|'ml.r6id.xlarge'|'ml.r6id.2xlarge'|'ml.r6id.4xlarge'|'ml.r6id.8xlarge'|'ml.r6id.12xlarge'|'ml.r6id.16xlarge'|'ml.r6id.24xlarge'|'ml.r6id.32xlarge',
                'LifecycleConfigArn': 'string'
            },
            'LifecycleConfigArns': [
                'string',
            ],
            'CodeRepositories': [
                {
                    'RepositoryUrl': 'string'
                },
            ]
        },
        'KernelGatewayAppSettings': {
            'DefaultResourceSpec': {
                'SageMakerImageArn': 'string',
                'SageMakerImageVersionArn': 'string',
                'SageMakerImageVersionAlias': 'string',
                'InstanceType': 'system'|'ml.t3.micro'|'ml.t3.small'|'ml.t3.medium'|'ml.t3.large'|'ml.t3.xlarge'|'ml.t3.2xlarge'|'ml.m5.large'|'ml.m5.xlarge'|'ml.m5.2xlarge'|'ml.m5.4xlarge'|'ml.m5.8xlarge'|'ml.m5.12xlarge'|'ml.m5.16xlarge'|'ml.m5.24xlarge'|'ml.m5d.large'|'ml.m5d.xlarge'|'ml.m5d.2xlarge'|'ml.m5d.4xlarge'|'ml.m5d.8xlarge'|'ml.m5d.12xlarge'|'ml.m5d.16xlarge'|'ml.m5d.24xlarge'|'ml.c5.large'|'ml.c5.xlarge'|'ml.c5.2xlarge'|'ml.c5.4xlarge'|'ml.c5.9xlarge'|'ml.c5.12xlarge'|'ml.c5.18xlarge'|'ml.c5.24xlarge'|'ml.p3.2xlarge'|'ml.p3.8xlarge'|'ml.p3.16xlarge'|'ml.p3dn.24xlarge'|'ml.g4dn.xlarge'|'ml.g4dn.2xlarge'|'ml.g4dn.4xlarge'|'ml.g4dn.8xlarge'|'ml.g4dn.12xlarge'|'ml.g4dn.16xlarge'|'ml.r5.large'|'ml.r5.xlarge'|'ml.r5.2xlarge'|'ml.r5.4xlarge'|'ml.r5.8xlarge'|'ml.r5.12xlarge'|'ml.r5.16xlarge'|'ml.r5.24xlarge'|'ml.g5.xlarge'|'ml.g5.2xlarge'|'ml.g5.4xlarge'|'ml.g5.8xlarge'|'ml.g5.16xlarge'|'ml.g5.12xlarge'|'ml.g5.24xlarge'|'ml.g5.48xlarge'|'ml.g6.xlarge'|'ml.g6.2xlarge'|'ml.g6.4xlarge'|'ml.g6.8xlarge'|'ml.g6.12xlarge'|'ml.g6.16xlarge'|'ml.g6.24xlarge'|'ml.g6.48xlarge'|'ml.g6e.xlarge'|'ml.g6e.2xlarge'|'ml.g6e.4xlarge'|'ml.g6e.8xlarge'|'ml.g6e.12xlarge'|'ml.g6e.16xlarge'|'ml.g6e.24xlarge'|'ml.g6e.48xlarge'|'ml.geospatial.interactive'|'ml.p4d.24xlarge'|'ml.p4de.24xlarge'|'ml.trn1.2xlarge'|'ml.trn1.32xlarge'|'ml.trn1n.32xlarge'|'ml.p5.48xlarge'|'ml.p5en.48xlarge'|'ml.m6i.large'|'ml.m6i.xlarge'|'ml.m6i.2xlarge'|'ml.m6i.4xlarge'|'ml.m6i.8xlarge'|'ml.m6i.12xlarge'|'ml.m6i.16xlarge'|'ml.m6i.24xlarge'|'ml.m6i.32xlarge'|'ml.m7i.large'|'ml.m7i.xlarge'|'ml.m7i.2xlarge'|'ml.m7i.4xlarge'|'ml.m7i.8xlarge'|'ml.m7i.12xlarge'|'ml.m7i.16xlarge'|'ml.m7i.24xlarge'|'ml.m7i.48xlarge'|'ml.c6i.large'|'ml.c6i.xlarge'|'ml.c6i.2xlarge'|'ml.c6i.4xlarge'|'ml.c6i.8xlarge'|'ml.c6i.12xlarge'|'ml.c6i.16xlarge'|'ml.c6i.24xlarge'|'ml.c6i.32xlarge'|'ml.c7i.large'|'ml.c7i.xlarge'|'ml.c7i.2xlarge'|'ml.c7i.4xlarge'|'ml.c7i.8xlarge'|'ml.c7i.12xlarge'|'ml.c7i.16xlarge'|'ml.c7i.24xlarge'|'ml.c7i.48xlarge'|'ml.r6i.large'|'ml.r6i.xlarge'|'ml.r6i.2xlarge'|'ml.r6i.4xlarge'|'ml.r6i.8xlarge'|'ml.r6i.12xlarge'|'ml.r6i.16xlarge'|'ml.r6i.24xlarge'|'ml.r6i.32xlarge'|'ml.r7i.large'|'ml.r7i.xlarge'|'ml.r7i.2xlarge'|'ml.r7i.4xlarge'|'ml.r7i.8xlarge'|'ml.r7i.12xlarge'|'ml.r7i.16xlarge'|'ml.r7i.24xlarge'|'ml.r7i.48xlarge'|'ml.m6id.large'|'ml.m6id.xlarge'|'ml.m6id.2xlarge'|'ml.m6id.4xlarge'|'ml.m6id.8xlarge'|'ml.m6id.12xlarge'|'ml.m6id.16xlarge'|'ml.m6id.24xlarge'|'ml.m6id.32xlarge'|'ml.c6id.large'|'ml.c6id.xlarge'|'ml.c6id.2xlarge'|'ml.c6id.4xlarge'|'ml.c6id.8xlarge'|'ml.c6id.12xlarge'|'ml.c6id.16xlarge'|'ml.c6id.24xlarge'|'ml.c6id.32xlarge'|'ml.r6id.large'|'ml.r6id.xlarge'|'ml.r6id.2xlarge'|'ml.r6id.4xlarge'|'ml.r6id.8xlarge'|'ml.r6id.12xlarge'|'ml.r6id.16xlarge'|'ml.r6id.24xlarge'|'ml.r6id.32xlarge',
                'LifecycleConfigArn': 'string'
            },
            'CustomImages': [
                {
                    'ImageName': 'string',
                    'ImageVersionNumber': 123,
                    'AppImageConfigName': 'string'
                },
            ],
            'LifecycleConfigArns': [
                'string',
            ]
        },
        'JupyterLabAppSettings': {
            'DefaultResourceSpec': {
                'SageMakerImageArn': 'string',
                'SageMakerImageVersionArn': 'string',
                'SageMakerImageVersionAlias': 'string',
                'InstanceType': 'system'|'ml.t3.micro'|'ml.t3.small'|'ml.t3.medium'|'ml.t3.large'|'ml.t3.xlarge'|'ml.t3.2xlarge'|'ml.m5.large'|'ml.m5.xlarge'|'ml.m5.2xlarge'|'ml.m5.4xlarge'|'ml.m5.8xlarge'|'ml.m5.12xlarge'|'ml.m5.16xlarge'|'ml.m5.24xlarge'|'ml.m5d.large'|'ml.m5d.xlarge'|'ml.m5d.2xlarge'|'ml.m5d.4xlarge'|'ml.m5d.8xlarge'|'ml.m5d.12xlarge'|'ml.m5d.16xlarge'|'ml.m5d.24xlarge'|'ml.c5.large'|'ml.c5.xlarge'|'ml.c5.2xlarge'|'ml.c5.4xlarge'|'ml.c5.9xlarge'|'ml.c5.12xlarge'|'ml.c5.18xlarge'|'ml.c5.24xlarge'|'ml.p3.2xlarge'|'ml.p3.8xlarge'|'ml.p3.16xlarge'|'ml.p3dn.24xlarge'|'ml.g4dn.xlarge'|'ml.g4dn.2xlarge'|'ml.g4dn.4xlarge'|'ml.g4dn.8xlarge'|'ml.g4dn.12xlarge'|'ml.g4dn.16xlarge'|'ml.r5.large'|'ml.r5.xlarge'|'ml.r5.2xlarge'|'ml.r5.4xlarge'|'ml.r5.8xlarge'|'ml.r5.12xlarge'|'ml.r5.16xlarge'|'ml.r5.24xlarge'|'ml.g5.xlarge'|'ml.g5.2xlarge'|'ml.g5.4xlarge'|'ml.g5.8xlarge'|'ml.g5.16xlarge'|'ml.g5.12xlarge'|'ml.g5.24xlarge'|'ml.g5.48xlarge'|'ml.g6.xlarge'|'ml.g6.2xlarge'|'ml.g6.4xlarge'|'ml.g6.8xlarge'|'ml.g6.12xlarge'|'ml.g6.16xlarge'|'ml.g6.24xlarge'|'ml.g6.48xlarge'|'ml.g6e.xlarge'|'ml.g6e.2xlarge'|'ml.g6e.4xlarge'|'ml.g6e.8xlarge'|'ml.g6e.12xlarge'|'ml.g6e.16xlarge'|'ml.g6e.24xlarge'|'ml.g6e.48xlarge'|'ml.geospatial.interactive'|'ml.p4d.24xlarge'|'ml.p4de.24xlarge'|'ml.trn1.2xlarge'|'ml.trn1.32xlarge'|'ml.trn1n.32xlarge'|'ml.p5.48xlarge'|'ml.p5en.48xlarge'|'ml.m6i.large'|'ml.m6i.xlarge'|'ml.m6i.2xlarge'|'ml.m6i.4xlarge'|'ml.m6i.8xlarge'|'ml.m6i.12xlarge'|'ml.m6i.16xlarge'|'ml.m6i.24xlarge'|'ml.m6i.32xlarge'|'ml.m7i.large'|'ml.m7i.xlarge'|'ml.m7i.2xlarge'|'ml.m7i.4xlarge'|'ml.m7i.8xlarge'|'ml.m7i.12xlarge'|'ml.m7i.16xlarge'|'ml.m7i.24xlarge'|'ml.m7i.48xlarge'|'ml.c6i.large'|'ml.c6i.xlarge'|'ml.c6i.2xlarge'|'ml.c6i.4xlarge'|'ml.c6i.8xlarge'|'ml.c6i.12xlarge'|'ml.c6i.16xlarge'|'ml.c6i.24xlarge'|'ml.c6i.32xlarge'|'ml.c7i.large'|'ml.c7i.xlarge'|'ml.c7i.2xlarge'|'ml.c7i.4xlarge'|'ml.c7i.8xlarge'|'ml.c7i.12xlarge'|'ml.c7i.16xlarge'|'ml.c7i.24xlarge'|'ml.c7i.48xlarge'|'ml.r6i.large'|'ml.r6i.xlarge'|'ml.r6i.2xlarge'|'ml.r6i.4xlarge'|'ml.r6i.8xlarge'|'ml.r6i.12xlarge'|'ml.r6i.16xlarge'|'ml.r6i.24xlarge'|'ml.r6i.32xlarge'|'ml.r7i.large'|'ml.r7i.xlarge'|'ml.r7i.2xlarge'|'ml.r7i.4xlarge'|'ml.r7i.8xlarge'|'ml.r7i.12xlarge'|'ml.r7i.16xlarge'|'ml.r7i.24xlarge'|'ml.r7i.48xlarge'|'ml.m6id.large'|'ml.m6id.xlarge'|'ml.m6id.2xlarge'|'ml.m6id.4xlarge'|'ml.m6id.8xlarge'|'ml.m6id.12xlarge'|'ml.m6id.16xlarge'|'ml.m6id.24xlarge'|'ml.m6id.32xlarge'|'ml.c6id.large'|'ml.c6id.xlarge'|'ml.c6id.2xlarge'|'ml.c6id.4xlarge'|'ml.c6id.8xlarge'|'ml.c6id.12xlarge'|'ml.c6id.16xlarge'|'ml.c6id.24xlarge'|'ml.c6id.32xlarge'|'ml.r6id.large'|'ml.r6id.xlarge'|'ml.r6id.2xlarge'|'ml.r6id.4xlarge'|'ml.r6id.8xlarge'|'ml.r6id.12xlarge'|'ml.r6id.16xlarge'|'ml.r6id.24xlarge'|'ml.r6id.32xlarge',
                'LifecycleConfigArn': 'string'
            },
            'CustomImages': [
                {
                    'ImageName': 'string',
                    'ImageVersionNumber': 123,
                    'AppImageConfigName': 'string'
                },
            ],
            'LifecycleConfigArns': [
                'string',
            ],
            'CodeRepositories': [
                {
                    'RepositoryUrl': 'string'
                },
            ],
            'AppLifecycleManagement': {
                'IdleSettings': {
                    'LifecycleManagement': 'ENABLED'|'DISABLED',
                    'IdleTimeoutInMinutes': 123,
                    'MinIdleTimeoutInMinutes': 123,
                    'MaxIdleTimeoutInMinutes': 123
                }
            },
            'EmrSettings': {
                'AssumableRoleArns': [
                    'string',
                ],
                'ExecutionRoleArns': [
                    'string',
                ]
            },
            'BuiltInLifecycleConfigArn': 'string'
        },
        'SpaceStorageSettings': {
            'DefaultEbsStorageSettings': {
                'DefaultEbsVolumeSizeInGb': 123,
                'MaximumEbsVolumeSizeInGb': 123
            }
        },
        'CustomPosixUserConfig': {
            'Uid': 123,
            'Gid': 123
        },
        'CustomFileSystemConfigs': [
            {
                'EFSFileSystemConfig': {
                    'FileSystemId': 'string',
                    'FileSystemPath': 'string'
                },
                'FSxLustreFileSystemConfig': {
                    'FileSystemId': 'string',
                    'FileSystemPath': 'string'
                },
                'S3FileSystemConfig': {
                    'MountPath': 'string',
                    'S3Uri': 'string'
                }
            },
        ]
    },
    SubnetIds=[
        'string',
    ],
    AppNetworkAccessType='PublicInternetOnly'|'VpcOnly',
    TagPropagation='ENABLED'|'DISABLED'
)

type DomainId:

string

param DomainId:

[REQUIRED]

The ID of the domain to be updated.

type DefaultUserSettings:

dict

param DefaultUserSettings:

A collection of settings.

• ExecutionRole (string) --

  The execution role for the user.

  SageMaker applies this setting only to private spaces that the user creates in the domain. SageMaker doesn't apply this setting to shared spaces.

• SecurityGroups (list) --

  The security groups for the Amazon Virtual Private Cloud (VPC) that the domain uses for communication.

  Optional when the CreateDomain.AppNetworkAccessType parameter is set to PublicInternetOnly.

  Required when the CreateDomain.AppNetworkAccessType parameter is set to VpcOnly, unless specified as part of the DefaultUserSettings for the domain.

  Amazon SageMaker AI adds a security group to allow NFS traffic from Amazon SageMaker AI Studio. Therefore, the number of security groups that you can specify is one less than the maximum number shown.

  SageMaker applies these settings only to private spaces that the user creates in the domain. SageMaker doesn't apply these settings to shared spaces.

  • (string) --

• SharingSettings (dict) --

  Specifies options for sharing Amazon SageMaker AI Studio notebooks.

  • NotebookOutputOption (string) --

    Whether to include the notebook cell output when sharing the notebook. The default is Disabled.

  • S3OutputPath (string) --

    When NotebookOutputOption is Allowed, the Amazon S3 bucket used to store the shared notebook snapshots.

  • S3KmsKeyId (string) --

    When NotebookOutputOption is Allowed, the Amazon Web Services Key Management Service (KMS) encryption key ID used to encrypt the notebook cell output in the Amazon S3 bucket.

• JupyterServerAppSettings (dict) --

  The Jupyter server's app settings.

  • DefaultResourceSpec (dict) --

    The default instance type and the Amazon Resource Name (ARN) of the default SageMaker AI image used by the JupyterServer app. If you use the LifecycleConfigArns parameter, then this parameter is also required.

    • SageMakerImageArn (string) --

      The ARN of the SageMaker AI image that the image version belongs to.

    • SageMakerImageVersionArn (string) --

      The ARN of the image version created on the instance. To clear the value set for SageMakerImageVersionArn, pass None as the value.

    • SageMakerImageVersionAlias (string) --

      The SageMakerImageVersionAlias of the image to launch with. This value is in SemVer 2.0.0 versioning format.

    • InstanceType (string) --

      The instance type that the image version runs on.

    • LifecycleConfigArn (string) --

      The Amazon Resource Name (ARN) of the Lifecycle Configuration attached to the Resource.

  • LifecycleConfigArns (list) --

    The Amazon Resource Name (ARN) of the Lifecycle Configurations attached to the JupyterServerApp. If you use this parameter, the DefaultResourceSpec parameter is also required.

    • (string) --

  • CodeRepositories (list) --

    A list of Git repositories that SageMaker AI automatically displays to users for cloning in the JupyterServer application.

    • (dict) --

      A Git repository that SageMaker AI automatically displays to users for cloning in the JupyterServer application.

      • RepositoryUrl (string) -- [REQUIRED]

        The URL of the Git repository.

• KernelGatewayAppSettings (dict) --

  The kernel gateway app settings.

  • DefaultResourceSpec (dict) --

    The default instance type and the Amazon Resource Name (ARN) of the default SageMaker AI image used by the KernelGateway app.

    • SageMakerImageArn (string) --

      The ARN of the SageMaker AI image that the image version belongs to.

    • SageMakerImageVersionArn (string) --

      The ARN of the image version created on the instance. To clear the value set for SageMakerImageVersionArn, pass None as the value.

    • SageMakerImageVersionAlias (string) --

      The SageMakerImageVersionAlias of the image to launch with. This value is in SemVer 2.0.0 versioning format.

    • InstanceType (string) --

      The instance type that the image version runs on.

    • LifecycleConfigArn (string) --

      The Amazon Resource Name (ARN) of the Lifecycle Configuration attached to the Resource.

  • CustomImages (list) --

    A list of custom SageMaker AI images that are configured to run as a KernelGateway app.

    The maximum number of custom images are as follows.

    • On a domain level: 200

    • On a space level: 5

    • On a user profile level: 5

    • (dict) --

      A custom SageMaker AI image. For more information, see Bring your own SageMaker AI image.

      • ImageName (string) -- [REQUIRED]

        The name of the CustomImage. Must be unique to your account.

      • ImageVersionNumber (integer) --

        The version number of the CustomImage.

      • AppImageConfigName (string) -- [REQUIRED]

        The name of the AppImageConfig.

  • LifecycleConfigArns (list) --

    The Amazon Resource Name (ARN) of the Lifecycle Configurations attached to the the user profile or domain.

    • (string) --

• TensorBoardAppSettings (dict) --

  The TensorBoard app settings.

  • DefaultResourceSpec (dict) --

    The default instance type and the Amazon Resource Name (ARN) of the SageMaker AI image created on the instance.

    • SageMakerImageArn (string) --

      The ARN of the SageMaker AI image that the image version belongs to.

    • SageMakerImageVersionArn (string) --

      The ARN of the image version created on the instance. To clear the value set for SageMakerImageVersionArn, pass None as the value.

    • SageMakerImageVersionAlias (string) --

      The SageMakerImageVersionAlias of the image to launch with. This value is in SemVer 2.0.0 versioning format.

    • InstanceType (string) --

      The instance type that the image version runs on.

    • LifecycleConfigArn (string) --

      The Amazon Resource Name (ARN) of the Lifecycle Configuration attached to the Resource.

• RStudioServerProAppSettings (dict) --

  A collection of settings that configure user interaction with the RStudioServerPro app.

  • AccessStatus (string) --

    Indicates whether the current user has access to the RStudioServerPro app.

  • UserGroup (string) --

    The level of permissions that the user has within the RStudioServerPro app. This value defaults to User. The Admin value allows the user access to the RStudio Administrative Dashboard.

• RSessionAppSettings (dict) --

  A collection of settings that configure the RSessionGateway app.

  • DefaultResourceSpec (dict) --

    Specifies the ARN's of a SageMaker AI image and SageMaker AI image version, and the instance type that the version runs on.

    • SageMakerImageArn (string) --

      The ARN of the SageMaker AI image that the image version belongs to.

    • SageMakerImageVersionArn (string) --

      The ARN of the image version created on the instance. To clear the value set for SageMakerImageVersionArn, pass None as the value.

    • SageMakerImageVersionAlias (string) --

      The SageMakerImageVersionAlias of the image to launch with. This value is in SemVer 2.0.0 versioning format.

    • InstanceType (string) --

      The instance type that the image version runs on.

    • LifecycleConfigArn (string) --

      The Amazon Resource Name (ARN) of the Lifecycle Configuration attached to the Resource.

  • CustomImages (list) --

    A list of custom SageMaker AI images that are configured to run as a RSession app.

    • (dict) --

      A custom SageMaker AI image. For more information, see Bring your own SageMaker AI image.

      • ImageName (string) -- [REQUIRED]

        The name of the CustomImage. Must be unique to your account.

      • ImageVersionNumber (integer) --

        The version number of the CustomImage.

      • AppImageConfigName (string) -- [REQUIRED]

        The name of the AppImageConfig.

• CanvasAppSettings (dict) --

  The Canvas app settings.

  SageMaker applies these settings only to private spaces that SageMaker creates for the Canvas app.

  • TimeSeriesForecastingSettings (dict) --

    Time series forecast settings for the SageMaker Canvas application.

    • Status (string) --

      Describes whether time series forecasting is enabled or disabled in the Canvas application.

    • AmazonForecastRoleArn (string) --

      The IAM role that Canvas passes to Amazon Forecast for time series forecasting. By default, Canvas uses the execution role specified in the UserProfile that launches the Canvas application. If an execution role is not specified in the UserProfile, Canvas uses the execution role specified in the Domain that owns the UserProfile. To allow time series forecasting, this IAM role should have the AmazonSageMakerCanvasForecastAccess policy attached and forecast.amazonaws.com added in the trust relationship as a service principal.

  • ModelRegisterSettings (dict) --

    The model registry settings for the SageMaker Canvas application.

    • Status (string) --

      Describes whether the integration to the model registry is enabled or disabled in the Canvas application.

    • CrossAccountModelRegisterRoleArn (string) --

      The Amazon Resource Name (ARN) of the SageMaker model registry account. Required only to register model versions created by a different SageMaker Canvas Amazon Web Services account than the Amazon Web Services account in which SageMaker model registry is set up.

  • WorkspaceSettings (dict) --

    The workspace settings for the SageMaker Canvas application.

    • S3ArtifactPath (string) --

      The Amazon S3 bucket used to store artifacts generated by Canvas. Updating the Amazon S3 location impacts existing configuration settings, and Canvas users no longer have access to their artifacts. Canvas users must log out and log back in to apply the new location.

    • S3KmsKeyId (string) --

      The Amazon Web Services Key Management Service (KMS) encryption key ID that is used to encrypt artifacts generated by Canvas in the Amazon S3 bucket.

  • IdentityProviderOAuthSettings (list) --

    The settings for connecting to an external data source with OAuth.

    • (dict) --

      The Amazon SageMaker Canvas application setting where you configure OAuth for connecting to an external data source, such as Snowflake.

      • DataSourceName (string) --

        The name of the data source that you're connecting to. Canvas currently supports OAuth for Snowflake and Salesforce Data Cloud.

      • Status (string) --

        Describes whether OAuth for a data source is enabled or disabled in the Canvas application.

      • SecretArn (string) --

        The ARN of an Amazon Web Services Secrets Manager secret that stores the credentials from your identity provider, such as the client ID and secret, authorization URL, and token URL.

  • DirectDeploySettings (dict) --

    The model deployment settings for the SageMaker Canvas application.

    • Status (string) --

      Describes whether model deployment permissions are enabled or disabled in the Canvas application.

  • KendraSettings (dict) --

    The settings for document querying.

    • Status (string) --

      Describes whether the document querying feature is enabled or disabled in the Canvas application.

  • GenerativeAiSettings (dict) --

    The generative AI settings for the SageMaker Canvas application.

    • AmazonBedrockRoleArn (string) --

      The ARN of an Amazon Web Services IAM role that allows fine-tuning of large language models (LLMs) in Amazon Bedrock. The IAM role should have Amazon S3 read and write permissions, as well as a trust relationship that establishes bedrock.amazonaws.com as a service principal.

  • EmrServerlessSettings (dict) --

    The settings for running Amazon EMR Serverless data processing jobs in SageMaker Canvas.

    • ExecutionRoleArn (string) --

      The Amazon Resource Name (ARN) of the Amazon Web Services IAM role that is assumed for running Amazon EMR Serverless jobs in SageMaker Canvas. This role should have the necessary permissions to read and write data attached and a trust relationship with EMR Serverless.

    • Status (string) --

      Describes whether Amazon EMR Serverless job capabilities are enabled or disabled in the SageMaker Canvas application.

• CodeEditorAppSettings (dict) --

  The Code Editor application settings.

  SageMaker applies these settings only to private spaces that the user creates in the domain. SageMaker doesn't apply these settings to shared spaces.

  • DefaultResourceSpec (dict) --

    Specifies the ARN's of a SageMaker AI image and SageMaker AI image version, and the instance type that the version runs on.

    • SageMakerImageArn (string) --

      The ARN of the SageMaker AI image that the image version belongs to.

    • SageMakerImageVersionArn (string) --

      The ARN of the image version created on the instance. To clear the value set for SageMakerImageVersionArn, pass None as the value.

    • SageMakerImageVersionAlias (string) --

      The SageMakerImageVersionAlias of the image to launch with. This value is in SemVer 2.0.0 versioning format.

    • InstanceType (string) --

      The instance type that the image version runs on.

    • LifecycleConfigArn (string) --

      The Amazon Resource Name (ARN) of the Lifecycle Configuration attached to the Resource.

  • CustomImages (list) --

    A list of custom SageMaker images that are configured to run as a Code Editor app.

    • (dict) --

      A custom SageMaker AI image. For more information, see Bring your own SageMaker AI image.

      • ImageName (string) -- [REQUIRED]

        The name of the CustomImage. Must be unique to your account.

      • ImageVersionNumber (integer) --

        The version number of the CustomImage.

      • AppImageConfigName (string) -- [REQUIRED]

        The name of the AppImageConfig.

  • LifecycleConfigArns (list) --

    The Amazon Resource Name (ARN) of the Code Editor application lifecycle configuration.

    • (string) --

  • AppLifecycleManagement (dict) --

    Settings that are used to configure and manage the lifecycle of CodeEditor applications.

    • IdleSettings (dict) --

      Settings related to idle shutdown of Studio applications.

      • LifecycleManagement (string) --

        Indicates whether idle shutdown is activated for the application type.

      • IdleTimeoutInMinutes (integer) --

        The time that SageMaker waits after the application becomes idle before shutting it down.

      • MinIdleTimeoutInMinutes (integer) --

        The minimum value in minutes that custom idle shutdown can be set to by the user.

      • MaxIdleTimeoutInMinutes (integer) --

        The maximum value in minutes that custom idle shutdown can be set to by the user.

  • BuiltInLifecycleConfigArn (string) --

    The lifecycle configuration that runs before the default lifecycle configuration. It can override changes made in the default lifecycle configuration.

• JupyterLabAppSettings (dict) --

  The settings for the JupyterLab application.

  SageMaker applies these settings only to private spaces that the user creates in the domain. SageMaker doesn't apply these settings to shared spaces.

  • DefaultResourceSpec (dict) --

    Specifies the ARN's of a SageMaker AI image and SageMaker AI image version, and the instance type that the version runs on.

    • SageMakerImageArn (string) --

      The ARN of the SageMaker AI image that the image version belongs to.

    • SageMakerImageVersionArn (string) --

      The ARN of the image version created on the instance. To clear the value set for SageMakerImageVersionArn, pass None as the value.

    • SageMakerImageVersionAlias (string) --

      The SageMakerImageVersionAlias of the image to launch with. This value is in SemVer 2.0.0 versioning format.

    • InstanceType (string) --

      The instance type that the image version runs on.

    • LifecycleConfigArn (string) --

      The Amazon Resource Name (ARN) of the Lifecycle Configuration attached to the Resource.

  • CustomImages (list) --

    A list of custom SageMaker images that are configured to run as a JupyterLab app.

    • (dict) --

      A custom SageMaker AI image. For more information, see Bring your own SageMaker AI image.

      • ImageName (string) -- [REQUIRED]

        The name of the CustomImage. Must be unique to your account.

      • ImageVersionNumber (integer) --

        The version number of the CustomImage.

      • AppImageConfigName (string) -- [REQUIRED]

        The name of the AppImageConfig.

  • LifecycleConfigArns (list) --

    The Amazon Resource Name (ARN) of the lifecycle configurations attached to the user profile or domain. To remove a lifecycle config, you must set LifecycleConfigArns to an empty list.

    • (string) --

  • CodeRepositories (list) --

    A list of Git repositories that SageMaker automatically displays to users for cloning in the JupyterLab application.

    • (dict) --

      A Git repository that SageMaker AI automatically displays to users for cloning in the JupyterServer application.

      • RepositoryUrl (string) -- [REQUIRED]

        The URL of the Git repository.

  • AppLifecycleManagement (dict) --

    Indicates whether idle shutdown is activated for JupyterLab applications.

    • IdleSettings (dict) --

      Settings related to idle shutdown of Studio applications.

      • LifecycleManagement (string) --

        Indicates whether idle shutdown is activated for the application type.

      • IdleTimeoutInMinutes (integer) --

        The time that SageMaker waits after the application becomes idle before shutting it down.

      • MinIdleTimeoutInMinutes (integer) --

        The minimum value in minutes that custom idle shutdown can be set to by the user.

      • MaxIdleTimeoutInMinutes (integer) --

        The maximum value in minutes that custom idle shutdown can be set to by the user.

  • EmrSettings (dict) --

    The configuration parameters that specify the IAM roles assumed by the execution role of SageMaker (assumable roles) and the cluster instances or job execution environments (execution roles or runtime roles) to manage and access resources required for running Amazon EMR clusters or Amazon EMR Serverless applications.

    • AssumableRoleArns (list) --

      An array of Amazon Resource Names (ARNs) of the IAM roles that the execution role of SageMaker can assume for performing operations or tasks related to Amazon EMR clusters or Amazon EMR Serverless applications. These roles define the permissions and access policies required when performing Amazon EMR-related operations, such as listing, connecting to, or terminating Amazon EMR clusters or Amazon EMR Serverless applications. They are typically used in cross-account access scenarios, where the Amazon EMR resources (clusters or serverless applications) are located in a different Amazon Web Services account than the SageMaker domain.

      • (string) --

    • ExecutionRoleArns (list) --

      An array of Amazon Resource Names (ARNs) of the IAM roles used by the Amazon EMR cluster instances or job execution environments to access other Amazon Web Services services and resources needed during the runtime of your Amazon EMR or Amazon EMR Serverless workloads, such as Amazon S3 for data access, Amazon CloudWatch for logging, or other Amazon Web Services services based on the particular workload requirements.

      • (string) --

  • BuiltInLifecycleConfigArn (string) --

    The lifecycle configuration that runs before the default lifecycle configuration. It can override changes made in the default lifecycle configuration.

• SpaceStorageSettings (dict) --

  The storage settings for a space.

  SageMaker applies these settings only to private spaces that the user creates in the domain. SageMaker doesn't apply these settings to shared spaces.

  • DefaultEbsStorageSettings (dict) --

    The default EBS storage settings for a space.

    • DefaultEbsVolumeSizeInGb (integer) -- [REQUIRED]

      The default size of the EBS storage volume for a space.

    • MaximumEbsVolumeSizeInGb (integer) -- [REQUIRED]

      The maximum size of the EBS storage volume for a space.

• DefaultLandingUri (string) --

  The default experience that the user is directed to when accessing the domain. The supported values are:

  • studio::: Indicates that Studio is the default experience. This value can only be passed if StudioWebPortal is set to ENABLED.

  • app:JupyterServer:: Indicates that Studio Classic is the default experience.

• StudioWebPortal (string) --

  Whether the user can access Studio. If this value is set to DISABLED, the user cannot access Studio, even if that is the default experience for the domain.

• CustomPosixUserConfig (dict) --

  Details about the POSIX identity that is used for file system operations.

  SageMaker applies these settings only to private spaces that the user creates in the domain. SageMaker doesn't apply these settings to shared spaces.

  • Uid (integer) -- [REQUIRED]

    The POSIX user ID.

  • Gid (integer) -- [REQUIRED]

    The POSIX group ID.

• CustomFileSystemConfigs (list) --

  The settings for assigning a custom file system to a user profile. Permitted users can access this file system in Amazon SageMaker AI Studio.

  SageMaker applies these settings only to private spaces that the user creates in the domain. SageMaker doesn't apply these settings to shared spaces.

  • (dict) --

    The settings for assigning a custom file system to a user profile or space for an Amazon SageMaker AI Domain. Permitted users can access this file system in Amazon SageMaker AI Studio.

    • EFSFileSystemConfig (dict) --

      The settings for a custom Amazon EFS file system.

      • FileSystemId (string) -- [REQUIRED]

        The ID of your Amazon EFS file system.

      • FileSystemPath (string) --

        The path to the file system directory that is accessible in Amazon SageMaker AI Studio. Permitted users can access only this directory and below.

    • FSxLustreFileSystemConfig (dict) --

      The settings for a custom Amazon FSx for Lustre file system.

      • FileSystemId (string) -- [REQUIRED]

        The globally unique, 17-digit, ID of the file system, assigned by Amazon FSx for Lustre.

      • FileSystemPath (string) --

        The path to the file system directory that is accessible in Amazon SageMaker Studio. Permitted users can access only this directory and below.

    • S3FileSystemConfig (dict) --

      Configuration settings for a custom Amazon S3 file system.

      • MountPath (string) --

        The file system path where the Amazon S3 storage location will be mounted within the Amazon SageMaker Studio environment.

      • S3Uri (string) -- [REQUIRED]

        The Amazon S3 URI of the S3 file system configuration.

• StudioWebPortalSettings (dict) --

  Studio settings. If these settings are applied on a user level, they take priority over the settings applied on a domain level.

  • HiddenMlTools (list) --

    The machine learning tools that are hidden from the Studio left navigation pane.

    • (string) --

  • HiddenAppTypes (list) --

    The Applications supported in Studio that are hidden from the Studio left navigation pane.

    • (string) --

  • HiddenInstanceTypes (list) --

    The instance types you are hiding from the Studio user interface.

    • (string) --

  • HiddenSageMakerImageVersionAliases (list) --

    The version aliases you are hiding from the Studio user interface.

    • (dict) --

      The SageMaker images that are hidden from the Studio user interface. You must specify the SageMaker image name and version aliases.

      • SageMakerImageName (string) --

        The SageMaker image name that you are hiding from the Studio user interface.

      • VersionAliases (list) --

        The version aliases you are hiding from the Studio user interface.

        • (string) --

• AutoMountHomeEFS (string) --

  Indicates whether auto-mounting of an EFS volume is supported for the user profile. The DefaultAsDomain value is only supported for user profiles. Do not use the DefaultAsDomain value when setting this parameter for a domain.

  SageMaker applies this setting only to private spaces that the user creates in the domain. SageMaker doesn't apply this setting to shared spaces.

type DomainSettingsForUpdate:

dict

param DomainSettingsForUpdate:

A collection of DomainSettings configuration values to update.

• RStudioServerProDomainSettingsForUpdate (dict) --

  A collection of RStudioServerPro Domain-level app settings to update. A single RStudioServerPro application is created for a domain.

  • DomainExecutionRoleArn (string) -- [REQUIRED]

    The execution role for the RStudioServerPro Domain-level app.

  • DefaultResourceSpec (dict) --

    Specifies the ARN's of a SageMaker AI image and SageMaker AI image version, and the instance type that the version runs on.

    • SageMakerImageArn (string) --

      The ARN of the SageMaker AI image that the image version belongs to.

    • SageMakerImageVersionArn (string) --

      The ARN of the image version created on the instance. To clear the value set for SageMakerImageVersionArn, pass None as the value.

    • SageMakerImageVersionAlias (string) --

      The SageMakerImageVersionAlias of the image to launch with. This value is in SemVer 2.0.0 versioning format.

    • InstanceType (string) --

      The instance type that the image version runs on.

    • LifecycleConfigArn (string) --

      The Amazon Resource Name (ARN) of the Lifecycle Configuration attached to the Resource.

  • RStudioConnectUrl (string) --

    A URL pointing to an RStudio Connect server.

  • RStudioPackageManagerUrl (string) --

    A URL pointing to an RStudio Package Manager server.

• ExecutionRoleIdentityConfig (string) --

  The configuration for attaching a SageMaker AI user profile name to the execution role as a sts:SourceIdentity key. This configuration can only be modified if there are no apps in the InService or Pending state.

• SecurityGroupIds (list) --

  The security groups for the Amazon Virtual Private Cloud that the Domain uses for communication between Domain-level apps and user apps.

  • (string) --

• TrustedIdentityPropagationSettings (dict) --

  The Trusted Identity Propagation (TIP) settings for the SageMaker domain. These settings determine how user identities from IAM Identity Center are propagated through the domain to TIP enabled Amazon Web Services services.

  • Status (string) -- [REQUIRED]

    The status of Trusted Identity Propagation (TIP) at the SageMaker domain level.

    When disabled, standard IAM role-based access is used.

    When enabled:

    • User identities from IAM Identity Center are propagated through the application to TIP enabled Amazon Web Services services.

    • New applications or existing applications that are automatically patched, will use the domain level configuration.

• DockerSettings (dict) --

  A collection of settings that configure the domain's Docker interaction.

  • EnableDockerAccess (string) --

    Indicates whether the domain can access Docker.

  • VpcOnlyTrustedAccounts (list) --

    The list of Amazon Web Services accounts that are trusted when the domain is created in VPC-only mode.

    • (string) --

  • RootlessDocker (string) --

    Indicates whether to use rootless Docker. Default value is DISABLED.

• AmazonQSettings (dict) --

  A collection of settings that configure the Amazon Q experience within the domain.

  • Status (string) --

    Whether Amazon Q has been enabled within the domain.

  • QProfileArn (string) --

    The ARN of the Amazon Q profile used within the domain.

• UnifiedStudioSettings (dict) --

  The settings that apply to an SageMaker AI domain when you use it in Amazon SageMaker Unified Studio.

  • StudioWebPortalAccess (string) --

    Sets whether you can access the domain in Amazon SageMaker Studio:

    ENABLED

    You can access the domain in Amazon SageMaker Studio. If you migrate the domain to Amazon SageMaker Unified Studio, you can access it in both studio interfaces.

    DISABLED

    You can't access the domain in Amazon SageMaker Studio. If you migrate the domain to Amazon SageMaker Unified Studio, you can access it only in that studio interface.

    To migrate a domain to Amazon SageMaker Unified Studio, you specify the UnifiedStudioSettings data type when you use the UpdateDomain action.

  • DomainAccountId (string) --

    The ID of the Amazon Web Services account that has the Amazon SageMaker Unified Studio domain. The default value, if you don't specify an ID, is the ID of the account that has the Amazon SageMaker AI domain.

  • DomainRegion (string) --

    The Amazon Web Services Region where the domain is located in Amazon SageMaker Unified Studio. The default value, if you don't specify a Region, is the Region where the Amazon SageMaker AI domain is located.

  • DomainId (string) --

    The ID of the Amazon SageMaker Unified Studio domain associated with this domain.

  • ProjectId (string) --

    The ID of the Amazon SageMaker Unified Studio project that corresponds to the domain.

  • EnvironmentId (string) --

    The ID of the environment that Amazon SageMaker Unified Studio associates with the domain.

  • ProjectS3Path (string) --

    The location where Amazon S3 stores temporary execution data and other artifacts for the project that corresponds to the domain.

  • SingleSignOnApplicationArn (string) --

    The ARN of the Amazon DataZone application managed by Amazon SageMaker Unified Studio in the Amazon Web Services IAM Identity Center.

type AppSecurityGroupManagement:

string

param AppSecurityGroupManagement:

The entity that creates and manages the required security groups for inter-app communication in VPCOnly mode. Required when CreateDomain.AppNetworkAccessType is VPCOnly and DomainSettings.RStudioServerProDomainSettings.DomainExecutionRoleArn is provided. If setting up the domain for use with RStudio, this value must be set to Service.

type DefaultSpaceSettings:

dict

param DefaultSpaceSettings:

The default settings for shared spaces that users create in the domain.

• ExecutionRole (string) --

  The ARN of the execution role for the space.

• SecurityGroups (list) --

  The security group IDs for the Amazon VPC that the space uses for communication.

  • (string) --

• JupyterServerAppSettings (dict) --

  The JupyterServer app settings.

  • DefaultResourceSpec (dict) --

    The default instance type and the Amazon Resource Name (ARN) of the default SageMaker AI image used by the JupyterServer app. If you use the LifecycleConfigArns parameter, then this parameter is also required.

    • SageMakerImageArn (string) --

      The ARN of the SageMaker AI image that the image version belongs to.

    • SageMakerImageVersionArn (string) --

      The ARN of the image version created on the instance. To clear the value set for SageMakerImageVersionArn, pass None as the value.

    • SageMakerImageVersionAlias (string) --

      The SageMakerImageVersionAlias of the image to launch with. This value is in SemVer 2.0.0 versioning format.

    • InstanceType (string) --

      The instance type that the image version runs on.

    • LifecycleConfigArn (string) --

      The Amazon Resource Name (ARN) of the Lifecycle Configuration attached to the Resource.

  • LifecycleConfigArns (list) --

    The Amazon Resource Name (ARN) of the Lifecycle Configurations attached to the JupyterServerApp. If you use this parameter, the DefaultResourceSpec parameter is also required.

    • (string) --

  • CodeRepositories (list) --

    A list of Git repositories that SageMaker AI automatically displays to users for cloning in the JupyterServer application.

    • (dict) --

      A Git repository that SageMaker AI automatically displays to users for cloning in the JupyterServer application.

      • RepositoryUrl (string) -- [REQUIRED]

        The URL of the Git repository.

• KernelGatewayAppSettings (dict) --

  The KernelGateway app settings.

  • DefaultResourceSpec (dict) --

    The default instance type and the Amazon Resource Name (ARN) of the default SageMaker AI image used by the KernelGateway app.

    • SageMakerImageArn (string) --

      The ARN of the SageMaker AI image that the image version belongs to.

    • SageMakerImageVersionArn (string) --

      The ARN of the image version created on the instance. To clear the value set for SageMakerImageVersionArn, pass None as the value.

    • SageMakerImageVersionAlias (string) --

      The SageMakerImageVersionAlias of the image to launch with. This value is in SemVer 2.0.0 versioning format.

    • InstanceType (string) --

      The instance type that the image version runs on.

    • LifecycleConfigArn (string) --

      The Amazon Resource Name (ARN) of the Lifecycle Configuration attached to the Resource.

  • CustomImages (list) --

    A list of custom SageMaker AI images that are configured to run as a KernelGateway app.

    The maximum number of custom images are as follows.

    • On a domain level: 200

    • On a space level: 5

    • On a user profile level: 5

    • (dict) --

      A custom SageMaker AI image. For more information, see Bring your own SageMaker AI image.

      • ImageName (string) -- [REQUIRED]

        The name of the CustomImage. Must be unique to your account.

      • ImageVersionNumber (integer) --

        The version number of the CustomImage.

      • AppImageConfigName (string) -- [REQUIRED]

        The name of the AppImageConfig.

  • LifecycleConfigArns (list) --

    The Amazon Resource Name (ARN) of the Lifecycle Configurations attached to the the user profile or domain.

    • (string) --

• JupyterLabAppSettings (dict) --

  The settings for the JupyterLab application.

  • DefaultResourceSpec (dict) --

    Specifies the ARN's of a SageMaker AI image and SageMaker AI image version, and the instance type that the version runs on.

    • SageMakerImageArn (string) --

      The ARN of the SageMaker AI image that the image version belongs to.

    • SageMakerImageVersionArn (string) --

      The ARN of the image version created on the instance. To clear the value set for SageMakerImageVersionArn, pass None as the value.

    • SageMakerImageVersionAlias (string) --

      The SageMakerImageVersionAlias of the image to launch with. This value is in SemVer 2.0.0 versioning format.

    • InstanceType (string) --

      The instance type that the image version runs on.

    • LifecycleConfigArn (string) --

      The Amazon Resource Name (ARN) of the Lifecycle Configuration attached to the Resource.

  • CustomImages (list) --

    A list of custom SageMaker images that are configured to run as a JupyterLab app.

    • (dict) --

      A custom SageMaker AI image. For more information, see Bring your own SageMaker AI image.

      • ImageName (string) -- [REQUIRED]

        The name of the CustomImage. Must be unique to your account.

      • ImageVersionNumber (integer) --

        The version number of the CustomImage.

      • AppImageConfigName (string) -- [REQUIRED]

        The name of the AppImageConfig.

  • LifecycleConfigArns (list) --

    The Amazon Resource Name (ARN) of the lifecycle configurations attached to the user profile or domain. To remove a lifecycle config, you must set LifecycleConfigArns to an empty list.

    • (string) --

  • CodeRepositories (list) --

    A list of Git repositories that SageMaker automatically displays to users for cloning in the JupyterLab application.

    • (dict) --

      A Git repository that SageMaker AI automatically displays to users for cloning in the JupyterServer application.

      • RepositoryUrl (string) -- [REQUIRED]

        The URL of the Git repository.

  • AppLifecycleManagement (dict) --

    Indicates whether idle shutdown is activated for JupyterLab applications.

    • IdleSettings (dict) --

      Settings related to idle shutdown of Studio applications.

      • LifecycleManagement (string) --

        Indicates whether idle shutdown is activated for the application type.

      • IdleTimeoutInMinutes (integer) --

        The time that SageMaker waits after the application becomes idle before shutting it down.

      • MinIdleTimeoutInMinutes (integer) --

        The minimum value in minutes that custom idle shutdown can be set to by the user.

      • MaxIdleTimeoutInMinutes (integer) --

        The maximum value in minutes that custom idle shutdown can be set to by the user.

  • EmrSettings (dict) --

    The configuration parameters that specify the IAM roles assumed by the execution role of SageMaker (assumable roles) and the cluster instances or job execution environments (execution roles or runtime roles) to manage and access resources required for running Amazon EMR clusters or Amazon EMR Serverless applications.

    • AssumableRoleArns (list) --

      An array of Amazon Resource Names (ARNs) of the IAM roles that the execution role of SageMaker can assume for performing operations or tasks related to Amazon EMR clusters or Amazon EMR Serverless applications. These roles define the permissions and access policies required when performing Amazon EMR-related operations, such as listing, connecting to, or terminating Amazon EMR clusters or Amazon EMR Serverless applications. They are typically used in cross-account access scenarios, where the Amazon EMR resources (clusters or serverless applications) are located in a different Amazon Web Services account than the SageMaker domain.

      • (string) --

    • ExecutionRoleArns (list) --

      An array of Amazon Resource Names (ARNs) of the IAM roles used by the Amazon EMR cluster instances or job execution environments to access other Amazon Web Services services and resources needed during the runtime of your Amazon EMR or Amazon EMR Serverless workloads, such as Amazon S3 for data access, Amazon CloudWatch for logging, or other Amazon Web Services services based on the particular workload requirements.

      • (string) --

  • BuiltInLifecycleConfigArn (string) --

    The lifecycle configuration that runs before the default lifecycle configuration. It can override changes made in the default lifecycle configuration.

• SpaceStorageSettings (dict) --

  The default storage settings for a space.

  • DefaultEbsStorageSettings (dict) --

    The default EBS storage settings for a space.

    • DefaultEbsVolumeSizeInGb (integer) -- [REQUIRED]

      The default size of the EBS storage volume for a space.

    • MaximumEbsVolumeSizeInGb (integer) -- [REQUIRED]

      The maximum size of the EBS storage volume for a space.

• CustomPosixUserConfig (dict) --

  Details about the POSIX identity that is used for file system operations.

  • Uid (integer) -- [REQUIRED]

    The POSIX user ID.

  • Gid (integer) -- [REQUIRED]

    The POSIX group ID.

• CustomFileSystemConfigs (list) --

  The settings for assigning a custom file system to a domain. Permitted users can access this file system in Amazon SageMaker AI Studio.

  • (dict) --

    The settings for assigning a custom file system to a user profile or space for an Amazon SageMaker AI Domain. Permitted users can access this file system in Amazon SageMaker AI Studio.

    • EFSFileSystemConfig (dict) --

      The settings for a custom Amazon EFS file system.

      • FileSystemId (string) -- [REQUIRED]

        The ID of your Amazon EFS file system.

      • FileSystemPath (string) --

        The path to the file system directory that is accessible in Amazon SageMaker AI Studio. Permitted users can access only this directory and below.

    • FSxLustreFileSystemConfig (dict) --

      The settings for a custom Amazon FSx for Lustre file system.

      • FileSystemId (string) -- [REQUIRED]

        The globally unique, 17-digit, ID of the file system, assigned by Amazon FSx for Lustre.

      • FileSystemPath (string) --

        The path to the file system directory that is accessible in Amazon SageMaker Studio. Permitted users can access only this directory and below.

    • S3FileSystemConfig (dict) --

      Configuration settings for a custom Amazon S3 file system.

      • MountPath (string) --

        The file system path where the Amazon S3 storage location will be mounted within the Amazon SageMaker Studio environment.

      • S3Uri (string) -- [REQUIRED]

        The Amazon S3 URI of the S3 file system configuration.

type SubnetIds:

list

param SubnetIds:

The VPC subnets that Studio uses for communication.

If removing subnets, ensure there are no apps in the InService, Pending, or Deleting state.

• (string) --

type AppNetworkAccessType:

string

param AppNetworkAccessType:

Specifies the VPC used for non-EFS traffic.

• PublicInternetOnly - Non-EFS traffic is through a VPC managed by Amazon SageMaker AI, which allows direct internet access.

• VpcOnly - All Studio traffic is through the specified VPC and subnets.

This configuration can only be modified if there are no apps in the InService, Pending, or Deleting state. The configuration cannot be updated if DomainSettings.RStudioServerProDomainSettings.DomainExecutionRoleArn is already set or DomainSettings.RStudioServerProDomainSettings.DomainExecutionRoleArn is provided as part of the same request.

type TagPropagation:

string

param TagPropagation:

Indicates whether custom tag propagation is supported for the domain. Defaults to DISABLED.

rtype:

dict

returns:

Response Syntax

{
    'DomainArn': 'string'
}

Response Structure

• (dict) --

  • DomainArn (string) --

    The Amazon Resource Name (ARN) of the domain.

{'ModelVariants': {'InfrastructureConfig': {'RealTimeInferenceConfig': {'InstanceType': {'ml.p6-b200.48xlarge'}}}}}

Updates an inference experiment that you created. The status of the inference experiment has to be either Created, Running. For more information on the status of an inference experiment, see DescribeInferenceExperiment.

See also: AWS API Documentation

Request Syntax

client.update_inference_experiment(
    Name='string',
    Schedule={
        'StartTime': datetime(2015, 1, 1),
        'EndTime': datetime(2015, 1, 1)
    },
    Description='string',
    ModelVariants=[
        {
            'ModelName': 'string',
            'VariantName': 'string',
            'InfrastructureConfig': {
                'InfrastructureType': 'RealTimeInference',
                'RealTimeInferenceConfig': {
                    'InstanceType': 'ml.t2.medium'|'ml.t2.large'|'ml.t2.xlarge'|'ml.t2.2xlarge'|'ml.t3.medium'|'ml.t3.large'|'ml.t3.xlarge'|'ml.t3.2xlarge'|'ml.m4.xlarge'|'ml.m4.2xlarge'|'ml.m4.4xlarge'|'ml.m4.10xlarge'|'ml.m4.16xlarge'|'ml.m5.xlarge'|'ml.m5.2xlarge'|'ml.m5.4xlarge'|'ml.m5.12xlarge'|'ml.m5.24xlarge'|'ml.m5d.large'|'ml.m5d.xlarge'|'ml.m5d.2xlarge'|'ml.m5d.4xlarge'|'ml.m5d.8xlarge'|'ml.m5d.12xlarge'|'ml.m5d.16xlarge'|'ml.m5d.24xlarge'|'ml.c4.xlarge'|'ml.c4.2xlarge'|'ml.c4.4xlarge'|'ml.c4.8xlarge'|'ml.c5.xlarge'|'ml.c5.2xlarge'|'ml.c5.4xlarge'|'ml.c5.9xlarge'|'ml.c5.18xlarge'|'ml.c5d.xlarge'|'ml.c5d.2xlarge'|'ml.c5d.4xlarge'|'ml.c5d.9xlarge'|'ml.c5d.18xlarge'|'ml.p2.xlarge'|'ml.p2.8xlarge'|'ml.p2.16xlarge'|'ml.p3.2xlarge'|'ml.p3.8xlarge'|'ml.p3.16xlarge'|'ml.p3dn.24xlarge'|'ml.g4dn.xlarge'|'ml.g4dn.2xlarge'|'ml.g4dn.4xlarge'|'ml.g4dn.8xlarge'|'ml.g4dn.12xlarge'|'ml.g4dn.16xlarge'|'ml.r5.large'|'ml.r5.xlarge'|'ml.r5.2xlarge'|'ml.r5.4xlarge'|'ml.r5.8xlarge'|'ml.r5.12xlarge'|'ml.r5.16xlarge'|'ml.r5.24xlarge'|'ml.g5.xlarge'|'ml.g5.2xlarge'|'ml.g5.4xlarge'|'ml.g5.8xlarge'|'ml.g5.16xlarge'|'ml.g5.12xlarge'|'ml.g5.24xlarge'|'ml.g5.48xlarge'|'ml.inf1.xlarge'|'ml.inf1.2xlarge'|'ml.inf1.6xlarge'|'ml.inf1.24xlarge'|'ml.trn1.2xlarge'|'ml.trn1.32xlarge'|'ml.trn1n.32xlarge'|'ml.inf2.xlarge'|'ml.inf2.8xlarge'|'ml.inf2.24xlarge'|'ml.inf2.48xlarge'|'ml.p4d.24xlarge'|'ml.p4de.24xlarge'|'ml.p5.48xlarge'|'ml.p6-b200.48xlarge'|'ml.m6i.large'|'ml.m6i.xlarge'|'ml.m6i.2xlarge'|'ml.m6i.4xlarge'|'ml.m6i.8xlarge'|'ml.m6i.12xlarge'|'ml.m6i.16xlarge'|'ml.m6i.24xlarge'|'ml.m6i.32xlarge'|'ml.m7i.large'|'ml.m7i.xlarge'|'ml.m7i.2xlarge'|'ml.m7i.4xlarge'|'ml.m7i.8xlarge'|'ml.m7i.12xlarge'|'ml.m7i.16xlarge'|'ml.m7i.24xlarge'|'ml.m7i.48xlarge'|'ml.c6i.large'|'ml.c6i.xlarge'|'ml.c6i.2xlarge'|'ml.c6i.4xlarge'|'ml.c6i.8xlarge'|'ml.c6i.12xlarge'|'ml.c6i.16xlarge'|'ml.c6i.24xlarge'|'ml.c6i.32xlarge'|'ml.c7i.large'|'ml.c7i.xlarge'|'ml.c7i.2xlarge'|'ml.c7i.4xlarge'|'ml.c7i.8xlarge'|'ml.c7i.12xlarge'|'ml.c7i.16xlarge'|'ml.c7i.24xlarge'|'ml.c7i.48xlarge'|'ml.r6i.large'|'ml.r6i.xlarge'|'ml.r6i.2xlarge'|'ml.r6i.4xlarge'|'ml.r6i.8xlarge'|'ml.r6i.12xlarge'|'ml.r6i.16xlarge'|'ml.r6i.24xlarge'|'ml.r6i.32xlarge'|'ml.r7i.large'|'ml.r7i.xlarge'|'ml.r7i.2xlarge'|'ml.r7i.4xlarge'|'ml.r7i.8xlarge'|'ml.r7i.12xlarge'|'ml.r7i.16xlarge'|'ml.r7i.24xlarge'|'ml.r7i.48xlarge'|'ml.m6id.large'|'ml.m6id.xlarge'|'ml.m6id.2xlarge'|'ml.m6id.4xlarge'|'ml.m6id.8xlarge'|'ml.m6id.12xlarge'|'ml.m6id.16xlarge'|'ml.m6id.24xlarge'|'ml.m6id.32xlarge'|'ml.c6id.large'|'ml.c6id.xlarge'|'ml.c6id.2xlarge'|'ml.c6id.4xlarge'|'ml.c6id.8xlarge'|'ml.c6id.12xlarge'|'ml.c6id.16xlarge'|'ml.c6id.24xlarge'|'ml.c6id.32xlarge'|'ml.r6id.large'|'ml.r6id.xlarge'|'ml.r6id.2xlarge'|'ml.r6id.4xlarge'|'ml.r6id.8xlarge'|'ml.r6id.12xlarge'|'ml.r6id.16xlarge'|'ml.r6id.24xlarge'|'ml.r6id.32xlarge'|'ml.g6.xlarge'|'ml.g6.2xlarge'|'ml.g6.4xlarge'|'ml.g6.8xlarge'|'ml.g6.12xlarge'|'ml.g6.16xlarge'|'ml.g6.24xlarge'|'ml.g6.48xlarge',
                    'InstanceCount': 123
                }
            }
        },
    ],
    DataStorageConfig={
        'Destination': 'string',
        'KmsKey': 'string',
        'ContentType': {
            'CsvContentTypes': [
                'string',
            ],
            'JsonContentTypes': [
                'string',
            ]
        }
    },
    ShadowModeConfig={
        'SourceModelVariantName': 'string',
        'ShadowModelVariants': [
            {
                'ShadowModelVariantName': 'string',
                'SamplingPercentage': 123
            },
        ]
    }
)

type Name:

string

param Name:

[REQUIRED]

The name of the inference experiment to be updated.

type Schedule:

dict

param Schedule:

The duration for which the inference experiment will run. If the status of the inference experiment is Created, then you can update both the start and end dates. If the status of the inference experiment is Running, then you can update only the end date.

• StartTime (datetime) --

  The timestamp at which the inference experiment started or will start.

• EndTime (datetime) --

  The timestamp at which the inference experiment ended or will end.

type Description:

string

param Description:

The description of the inference experiment.

type ModelVariants:

list

param ModelVariants:

An array of ModelVariantConfig objects. There is one for each variant, whose infrastructure configuration you want to update.

• (dict) --

  Contains information about the deployment options of a model.

  • ModelName (string) -- [REQUIRED]

    The name of the Amazon SageMaker Model entity.

  • VariantName (string) -- [REQUIRED]

    The name of the variant.

  • InfrastructureConfig (dict) -- [REQUIRED]

    The configuration for the infrastructure that the model will be deployed to.

    • InfrastructureType (string) -- [REQUIRED]

      The inference option to which to deploy your model. Possible values are the following:

      • RealTime: Deploy to real-time inference.

    • RealTimeInferenceConfig (dict) -- [REQUIRED]

      The infrastructure configuration for deploying the model to real-time inference.

      • InstanceType (string) -- [REQUIRED]

        The instance type the model is deployed to.

      • InstanceCount (integer) -- [REQUIRED]

        The number of instances of the type specified by InstanceType.

type DataStorageConfig:

dict

param DataStorageConfig:

The Amazon S3 location and configuration for storing inference request and response data.

• Destination (string) -- [REQUIRED]

  The Amazon S3 bucket where the inference request and response data is stored.

• KmsKey (string) --

  The Amazon Web Services Key Management Service key that Amazon SageMaker uses to encrypt captured data at rest using Amazon S3 server-side encryption.

• ContentType (dict) --

  Configuration specifying how to treat different headers. If no headers are specified Amazon SageMaker AI will by default base64 encode when capturing the data.

  • CsvContentTypes (list) --

    The list of all content type headers that Amazon SageMaker AI will treat as CSV and capture accordingly.

    • (string) --

  • JsonContentTypes (list) --

    The list of all content type headers that SageMaker AI will treat as JSON and capture accordingly.

    • (string) --

type ShadowModeConfig:

dict

param ShadowModeConfig:

The configuration of ShadowMode inference experiment type. Use this field to specify a production variant which takes all the inference requests, and a shadow variant to which Amazon SageMaker replicates a percentage of the inference requests. For the shadow variant also specify the percentage of requests that Amazon SageMaker replicates.

• SourceModelVariantName (string) -- [REQUIRED]

  The name of the production variant, which takes all the inference requests.

• ShadowModelVariants (list) -- [REQUIRED]

  List of shadow variant configurations.

  • (dict) --

    The name and sampling percentage of a shadow variant.

    • ShadowModelVariantName (string) -- [REQUIRED]

      The name of the shadow variant.

    • SamplingPercentage (integer) -- [REQUIRED]

      The percentage of inference requests that Amazon SageMaker replicates from the production variant to the shadow variant.

rtype:

dict

returns:

Response Syntax

{
    'InferenceExperimentArn': 'string'
}

Response Structure

• (dict) --

  • InferenceExperimentArn (string) --

    The ARN of the updated inference experiment.

{'InstanceType': {'ml.p6-b200.48xlarge'}}

Updates a notebook instance. NotebookInstance updates include upgrading or downgrading the ML compute instance used for your notebook instance to accommodate changes in your workload requirements.

See also: AWS API Documentation

Request Syntax

client.update_notebook_instance(
    NotebookInstanceName='string',
    InstanceType='ml.t2.medium'|'ml.t2.large'|'ml.t2.xlarge'|'ml.t2.2xlarge'|'ml.t3.medium'|'ml.t3.large'|'ml.t3.xlarge'|'ml.t3.2xlarge'|'ml.m4.xlarge'|'ml.m4.2xlarge'|'ml.m4.4xlarge'|'ml.m4.10xlarge'|'ml.m4.16xlarge'|'ml.m5.xlarge'|'ml.m5.2xlarge'|'ml.m5.4xlarge'|'ml.m5.12xlarge'|'ml.m5.24xlarge'|'ml.m5d.large'|'ml.m5d.xlarge'|'ml.m5d.2xlarge'|'ml.m5d.4xlarge'|'ml.m5d.8xlarge'|'ml.m5d.12xlarge'|'ml.m5d.16xlarge'|'ml.m5d.24xlarge'|'ml.c4.xlarge'|'ml.c4.2xlarge'|'ml.c4.4xlarge'|'ml.c4.8xlarge'|'ml.c5.xlarge'|'ml.c5.2xlarge'|'ml.c5.4xlarge'|'ml.c5.9xlarge'|'ml.c5.18xlarge'|'ml.c5d.xlarge'|'ml.c5d.2xlarge'|'ml.c5d.4xlarge'|'ml.c5d.9xlarge'|'ml.c5d.18xlarge'|'ml.p2.xlarge'|'ml.p2.8xlarge'|'ml.p2.16xlarge'|'ml.p3.2xlarge'|'ml.p3.8xlarge'|'ml.p3.16xlarge'|'ml.p3dn.24xlarge'|'ml.g4dn.xlarge'|'ml.g4dn.2xlarge'|'ml.g4dn.4xlarge'|'ml.g4dn.8xlarge'|'ml.g4dn.12xlarge'|'ml.g4dn.16xlarge'|'ml.r5.large'|'ml.r5.xlarge'|'ml.r5.2xlarge'|'ml.r5.4xlarge'|'ml.r5.8xlarge'|'ml.r5.12xlarge'|'ml.r5.16xlarge'|'ml.r5.24xlarge'|'ml.g5.xlarge'|'ml.g5.2xlarge'|'ml.g5.4xlarge'|'ml.g5.8xlarge'|'ml.g5.16xlarge'|'ml.g5.12xlarge'|'ml.g5.24xlarge'|'ml.g5.48xlarge'|'ml.inf1.xlarge'|'ml.inf1.2xlarge'|'ml.inf1.6xlarge'|'ml.inf1.24xlarge'|'ml.trn1.2xlarge'|'ml.trn1.32xlarge'|'ml.trn1n.32xlarge'|'ml.inf2.xlarge'|'ml.inf2.8xlarge'|'ml.inf2.24xlarge'|'ml.inf2.48xlarge'|'ml.p4d.24xlarge'|'ml.p4de.24xlarge'|'ml.p5.48xlarge'|'ml.p6-b200.48xlarge'|'ml.m6i.large'|'ml.m6i.xlarge'|'ml.m6i.2xlarge'|'ml.m6i.4xlarge'|'ml.m6i.8xlarge'|'ml.m6i.12xlarge'|'ml.m6i.16xlarge'|'ml.m6i.24xlarge'|'ml.m6i.32xlarge'|'ml.m7i.large'|'ml.m7i.xlarge'|'ml.m7i.2xlarge'|'ml.m7i.4xlarge'|'ml.m7i.8xlarge'|'ml.m7i.12xlarge'|'ml.m7i.16xlarge'|'ml.m7i.24xlarge'|'ml.m7i.48xlarge'|'ml.c6i.large'|'ml.c6i.xlarge'|'ml.c6i.2xlarge'|'ml.c6i.4xlarge'|'ml.c6i.8xlarge'|'ml.c6i.12xlarge'|'ml.c6i.16xlarge'|'ml.c6i.24xlarge'|'ml.c6i.32xlarge'|'ml.c7i.large'|'ml.c7i.xlarge'|'ml.c7i.2xlarge'|'ml.c7i.4xlarge'|'ml.c7i.8xlarge'|'ml.c7i.12xlarge'|'ml.c7i.16xlarge'|'ml.c7i.24xlarge'|'ml.c7i.48xlarge'|'ml.r6i.large'|'ml.r6i.xlarge'|'ml.r6i.2xlarge'|'ml.r6i.4xlarge'|'ml.r6i.8xlarge'|'ml.r6i.12xlarge'|'ml.r6i.16xlarge'|'ml.r6i.24xlarge'|'ml.r6i.32xlarge'|'ml.r7i.large'|'ml.r7i.xlarge'|'ml.r7i.2xlarge'|'ml.r7i.4xlarge'|'ml.r7i.8xlarge'|'ml.r7i.12xlarge'|'ml.r7i.16xlarge'|'ml.r7i.24xlarge'|'ml.r7i.48xlarge'|'ml.m6id.large'|'ml.m6id.xlarge'|'ml.m6id.2xlarge'|'ml.m6id.4xlarge'|'ml.m6id.8xlarge'|'ml.m6id.12xlarge'|'ml.m6id.16xlarge'|'ml.m6id.24xlarge'|'ml.m6id.32xlarge'|'ml.c6id.large'|'ml.c6id.xlarge'|'ml.c6id.2xlarge'|'ml.c6id.4xlarge'|'ml.c6id.8xlarge'|'ml.c6id.12xlarge'|'ml.c6id.16xlarge'|'ml.c6id.24xlarge'|'ml.c6id.32xlarge'|'ml.r6id.large'|'ml.r6id.xlarge'|'ml.r6id.2xlarge'|'ml.r6id.4xlarge'|'ml.r6id.8xlarge'|'ml.r6id.12xlarge'|'ml.r6id.16xlarge'|'ml.r6id.24xlarge'|'ml.r6id.32xlarge'|'ml.g6.xlarge'|'ml.g6.2xlarge'|'ml.g6.4xlarge'|'ml.g6.8xlarge'|'ml.g6.12xlarge'|'ml.g6.16xlarge'|'ml.g6.24xlarge'|'ml.g6.48xlarge',
    RoleArn='string',
    LifecycleConfigName='string',
    DisassociateLifecycleConfig=True|False,
    VolumeSizeInGB=123,
    DefaultCodeRepository='string',
    AdditionalCodeRepositories=[
        'string',
    ],
    AcceleratorTypes=[
        'ml.eia1.medium'|'ml.eia1.large'|'ml.eia1.xlarge'|'ml.eia2.medium'|'ml.eia2.large'|'ml.eia2.xlarge',
    ],
    DisassociateAcceleratorTypes=True|False,
    DisassociateDefaultCodeRepository=True|False,
    DisassociateAdditionalCodeRepositories=True|False,
    RootAccess='Enabled'|'Disabled',
    InstanceMetadataServiceConfiguration={
        'MinimumInstanceMetadataServiceVersion': 'string'
    }
)

type NotebookInstanceName:

string

param NotebookInstanceName:

[REQUIRED]

The name of the notebook instance to update.

type InstanceType:

string

param InstanceType:

The Amazon ML compute instance type.

type RoleArn:

string

param RoleArn:

The Amazon Resource Name (ARN) of the IAM role that SageMaker AI can assume to access the notebook instance. For more information, see SageMaker AI Roles.

type LifecycleConfigName:

string

param LifecycleConfigName:

The name of a lifecycle configuration to associate with the notebook instance. For information about lifestyle configurations, see Step 2.1: (Optional) Customize a Notebook Instance.

type DisassociateLifecycleConfig:

boolean

param DisassociateLifecycleConfig:

Set to true to remove the notebook instance lifecycle configuration currently associated with the notebook instance. This operation is idempotent. If you specify a lifecycle configuration that is not associated with the notebook instance when you call this method, it does not throw an error.

type VolumeSizeInGB:

integer

param VolumeSizeInGB:

The size, in GB, of the ML storage volume to attach to the notebook instance. The default value is 5 GB. ML storage volumes are encrypted, so SageMaker AI can't determine the amount of available free space on the volume. Because of this, you can increase the volume size when you update a notebook instance, but you can't decrease the volume size. If you want to decrease the size of the ML storage volume in use, create a new notebook instance with the desired size.

type DefaultCodeRepository:

string

param DefaultCodeRepository:

The Git repository to associate with the notebook instance as its default code repository. This can be either the name of a Git repository stored as a resource in your account, or the URL of a Git repository in Amazon Web Services CodeCommit or in any other Git repository. When you open a notebook instance, it opens in the directory that contains this repository. For more information, see Associating Git Repositories with SageMaker AI Notebook Instances.

type AdditionalCodeRepositories:

list

param AdditionalCodeRepositories:

An array of up to three Git repositories to associate with the notebook instance. These can be either the names of Git repositories stored as resources in your account, or the URL of Git repositories in Amazon Web Services CodeCommit or in any other Git repository. These repositories are cloned at the same level as the default repository of your notebook instance. For more information, see Associating Git Repositories with SageMaker AI Notebook Instances.

• (string) --

type AcceleratorTypes:

list

param AcceleratorTypes:

This parameter is no longer supported. Elastic Inference (EI) is no longer available.

This parameter was used to specify a list of the EI instance types to associate with this notebook instance.

• (string) --

type DisassociateAcceleratorTypes:

boolean

param DisassociateAcceleratorTypes:

This parameter is no longer supported. Elastic Inference (EI) is no longer available.

This parameter was used to specify a list of the EI instance types to remove from this notebook instance.

type DisassociateDefaultCodeRepository:

boolean

param DisassociateDefaultCodeRepository:

The name or URL of the default Git repository to remove from this notebook instance. This operation is idempotent. If you specify a Git repository that is not associated with the notebook instance when you call this method, it does not throw an error.

type DisassociateAdditionalCodeRepositories:

boolean

param DisassociateAdditionalCodeRepositories:

A list of names or URLs of the default Git repositories to remove from this notebook instance. This operation is idempotent. If you specify a Git repository that is not associated with the notebook instance when you call this method, it does not throw an error.

type RootAccess:

string

param RootAccess:

Whether root access is enabled or disabled for users of the notebook instance. The default value is Enabled.

type InstanceMetadataServiceConfiguration:

dict

param InstanceMetadataServiceConfiguration:

Information on the IMDS configuration of the notebook instance

• MinimumInstanceMetadataServiceVersion (string) -- [REQUIRED]

  Indicates the minimum IMDS version that the notebook instance supports. When passed as part of CreateNotebookInstance, if no value is selected, then it defaults to IMDSv1. This means that both IMDSv1 and IMDSv2 are supported. If passed as part of UpdateNotebookInstance, there is no default.

rtype:

dict

returns:

Response Syntax

{}

Response Structure

• (dict) --