AWS::SageMaker::ClusterCfnCluster
Creates an Amazon 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](https://docs.aws.amazon.com/sagemaker/latest/dg/sagemaker-hyperpod.html) in the *Amazon SageMaker Developer Guide* .
Import
import { CfnCluster } from 'aws-cdk-lib/aws-sagemaker';Or use the module namespace:
import * as sagemaker from 'aws-cdk-lib/aws-sagemaker';
// sagemaker.CfnClusterProperties
Configuration passed to the constructor as CfnClusterProps.
autoScalingOptionalIResolvable | ClusterAutoScalingConfigPropertyConfiguration for cluster auto-scaling.
clusterNameOptionalstringThe name of the SageMaker HyperPod cluster.
clusterRoleOptionalstringThe cluster role for the autoscaler to assume.
instanceGroupsOptionalIResolvable | IResolvable | ClusterInstanceGroupProperty[]The instance groups of the SageMaker HyperPod cluster. To delete an instance group, remove it from the array.
nodeProvisioningModeOptionalstringDetermines the scaling strategy for the SageMaker HyperPod cluster. When set to 'Continuous', enables continuous scaling which dynamically manages node provisioning. If the parameter is omitted, uses the standard scaling approach in previous release.
nodeRecoveryOptionalstringSpecifies whether to enable or disable the automatic node recovery feature of SageMaker HyperPod. Available values are `Automatic` for enabling and `None` for disabling.
orchestratorOptionalIResolvable | OrchestratorPropertyThe orchestrator type for the SageMaker HyperPod cluster. Currently, `'eks'` is the only available option.
restrictedInstanceGroupsOptionalIResolvable | IResolvable | ClusterRestrictedInstanceGroupProperty[]The restricted instance groups of the SageMaker HyperPod cluster.
tagsOptionalCfnTag[]A tag object that consists of a key and an optional value, used to manage metadata for SageMaker AWS 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](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_AddTags.html) . For more information on adding metadata to your AWS resources with tagging, see [Tagging AWS resources](https://docs.aws.amazon.com/general/latest/gr/aws_tagging.html) . For advice on best practices for managing AWS resources with tagging, see [Tagging Best Practices: Implement an Effective AWS Resource Tagging Strategy](https://docs.aws.amazon.com/https://d1.awsstatic.com/whitepapers/aws-tagging-best-practices.pdf) .
tieredStorageConfigOptionalIResolvable | TieredStorageConfigPropertyConfiguration for tiered storage in the SageMaker HyperPod cluster.
vpcConfigOptionalIResolvable | VpcConfigPropertySpecifies 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](https://docs.aws.amazon.com/sagemaker/latest/dg/infrastructure-give-access.html) .
CloudFormation Resource
This L1 construct maps directly to the following CloudFormation resource type.
Learn AWS the Practical Way
Our bi-weekly newsletter teaches hands-on AWS fundamentals. No certification fluff - just practical knowledge.
Subscribe to NewsletterQuick Facts
aws-sagemakerAWS::SageMaker::Cluster