UpdateCluster - Amazon SageMaker

UpdateCluster

Updates a SageMaker HyperPod cluster.

Request Syntax

{ "ClusterName": "string", "InstanceGroups": [ { "ExecutionRole": "string", "InstanceCount": number, "InstanceGroupName": "string", "InstanceStorageConfigs": [ { ... } ], "InstanceType": "string", "LifeCycleConfig": { "OnCreate": "string", "SourceS3Uri": "string" }, "OnStartDeepHealthChecks": [ "string" ], "OverrideVpcConfig": { "SecurityGroupIds": [ "string" ], "Subnets": [ "string" ] }, "ThreadsPerCore": number } ], "NodeRecovery": "string" }

Request Parameters

For information about the parameters that are common to all actions, see Common Parameters.

The request accepts the following data in JSON format.

ClusterName

Specify the name of the SageMaker HyperPod cluster you want to update.

Type: String

Length Constraints: Maximum length of 256.

Pattern: ^(arn:aws[a-z\-]*:sagemaker:[a-z0-9\-]*:[0-9]{12}:cluster/[a-z0-9]{12})|([a-zA-Z0-9](-*[a-zA-Z0-9]){0,62})$

Required: Yes

InstanceGroups

Specify the instance groups to update.

Type: Array of ClusterInstanceGroupSpecification objects

Array Members: Minimum number of 1 item. Maximum number of 100 items.

Required: Yes

NodeRecovery

The node recovery mode to be applied to the SageMaker HyperPod cluster.

Type: String

Valid Values: Automatic | None

Required: No

Response Syntax

{ "ClusterArn": "string" }

Response Elements

If the action is successful, the service sends back an HTTP 200 response.

The following data is returned in JSON format by the service.

ClusterArn

The Amazon Resource Name (ARN) of the updated SageMaker HyperPod cluster.

Type: String

Length Constraints: Maximum length of 256.

Pattern: ^arn:aws[a-z\-]*:sagemaker:[a-z0-9\-]*:[0-9]{12}:cluster/[a-z0-9]{12}$

Errors

For information about the errors that are common to all actions, see Common Errors.

ConflictException

There was a conflict when you attempted to modify a SageMaker entity such as an Experiment or Artifact.

HTTP Status Code: 400

ResourceLimitExceeded

You have exceeded an SageMaker resource limit. For example, you might have too many training jobs created.

HTTP Status Code: 400

ResourceNotFound

Resource being access is not found.

HTTP Status Code: 400

See Also

For more information about using this API in one of the language-specific AWS SDKs, see the following: