---
title: SageMaker Cluster
description: Datadog, the leading service for cloud-scale monitoring.
breadcrumbs: Docs > DDSQL Reference > Data Directory > SageMaker Cluster
---

> For the complete documentation index, see [llms.txt](https://docs.datadoghq.com/llms.txt).

# 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

| Title                      | ID   | Type       | Data Type                                                                                                                                                                                                                                                                               | Description |
| -------------------------- | ---- | ---------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ----------- |
| _key                       | core | string     |
| account_id                 | core | string     |
| auto_scaling               | core | json       | The current autoscaling configuration and status for the autoscaler.                                                                                                                                                                                                                    |
| 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_role               | core | string     | The Amazon Resource Name (ARN) of the IAM role that HyperPod uses for cluster autoscaling operations.                                                                                                                                                                                   |
| 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_provisioning_mode     | core | string     | The mode used for provisioning nodes in the 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.                                                                                                                                                                                                                       |
| restricted_instance_groups | core | json       | The specialized instance groups for training models like Amazon Nova to be created in the SageMaker HyperPod cluster.                                                                                                                                                                   |
| tags                       | core | hstore_csv |
| tiered_storage_config      | core | json       | The current configuration for managed tier checkpointing on the HyperPod cluster. For example, this shows whether the feature is enabled and the percentage of cluster memory allocated for checkpoint storage.                                                                         |
| 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. |