CreateCluster - Amazon SageMaker


Creates a SageMaker HyperPod cluster. SageMaker HyperPod is a capability of SageMaker for creating and managing persistent clusters for developing large machine learning models, such as large language models (LLMs) and diffusion models. To learn more, see Amazon SageMaker HyperPod in the Amazon SageMaker Developer Guide.

Request Syntax

{ "ClusterName": "string", "InstanceGroups": [ { "ExecutionRole": "string", "InstanceCount": number, "InstanceGroupName": "string", "InstanceType": "string", "LifeCycleConfig": { "OnCreate": "string", "SourceS3Uri": "string" }, "ThreadsPerCore": number } ], "Tags": [ { "Key": "string", "Value": "string" } ], "VpcConfig": { "SecurityGroupIds": [ "string" ], "Subnets": [ "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.


The name for the new SageMaker HyperPod cluster.

Type: String

Length Constraints: Minimum length of 1. Maximum length of 63.

Pattern: ^[a-zA-Z0-9](-*[a-zA-Z0-9])*$

Required: Yes


The instance groups to be created in the SageMaker HyperPod cluster.

Type: Array of ClusterInstanceGroupSpecification objects

Array Members: Minimum number of 1 item. Maximum number of 20 items.

Required: Yes


Custom tags for managing the SageMaker HyperPod cluster as an AWS resource. You can add tags to your cluster in the same way you add them in other AWS services that support tagging. To learn more about tagging AWS resources in general, see Tagging AWS Resources User Guide.

Type: Array of Tag objects

Array Members: Minimum number of 0 items. Maximum number of 50 items.

Required: No


Specifies an Amazon Virtual Private Cloud (VPC) that your SageMaker jobs, hosted models, and compute resources have access to. You can control access to and from your resources by configuring a VPC. For more information, see Give SageMaker Access to Resources in your Amazon VPC.

Type: VpcConfig object

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.


The Amazon Resource Name (ARN) of the 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}$


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


Resource being accessed is in use.

HTTP Status Code: 400


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

HTTP Status Code: 400

See Also

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