SageMaker Cluster

Docs > DDSQL Reference > Data Directory > SageMaker Cluster

SageMaker Cluster in AWS is a managed resource that provides a group of compute instances for running machine learning workloads. It allows you to scale training and inference jobs across multiple nodes, offering high performance and flexibility for distributed ML tasks. This resource is designed to simplify cluster management, enabling users to focus on model development and deployment without handling infrastructure complexity.

aws.sagemaker_cluster

Fields

ID	Type	Data Type	Description
_key	core	string
account_id	core	string
cluster_arn	core	string	The Amazon Resource Name (ARN) of the SageMaker HyperPod cluster.
cluster_name	core	string	The name of the SageMaker HyperPod cluster.
cluster_status	core	string	The status of the SageMaker HyperPod cluster.
creation_time	core	timestamp	The time when the SageMaker Cluster is created.
failure_message	core	string	The failure message of the SageMaker HyperPod cluster.
instance_groups	core	json	The instance groups of the SageMaker HyperPod cluster.
node_recovery	core	string	The node recovery mode configured for the SageMaker HyperPod cluster.
orchestrator	core	json	The type of orchestrator used for the SageMaker HyperPod cluster.
tags	core	hstore
vpc_config	core	json	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.