# Amazon SageMaker HyperPod AMI
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Amazon SageMaker HyperPod Amazon Machine Images (AMIs) are specialized machine images for distributed machine learning workloads and high-performance computing. These AMIs enhance base images with essential components including GPU drivers and AWS Neuron accelerator support.

Key components added to HyperPod AMIs include:
+ [Public AMIs](sagemaker-hyperpod-release-public-ami.md) with support for [building custom AMIs](hyperpod-custom-ami-support.md)
+ Advanced orchestration tools:
  + [Orchestrating SageMaker HyperPod clusters with SlurmSlurm orchestration](sagemaker-hyperpod-slurm.md)
  + [Orchestrating SageMaker HyperPod clusters with Amazon EKS](sagemaker-hyperpod-eks.md)
+ Cluster management dependencies
+ Built-in resiliency features:
  + cluster health check
  + auto-resume capabilities
+ Support for HyperPod cluster management and configuration

These enhancements are built upon the following base Deep Learning AMIs (DLAMIs):
+ [AWS Deep Learning Base GPU AMI (Ubuntu 20.04)](https://aws.amazon.com/releasenotes/aws-deep-learning-base-gpu-ami-ubuntu-20-04/) for orchestration with Slurm.
+ Amazon Linux 2 or Amazon Linux 2023 based AMI for orchestration with Amazon EKS.

Choose your HyperPod AMIs based on your orchestration preference:
+ For Slurm orchestration, see [SageMaker HyperPod AMI releases for Slurm](sagemaker-hyperpod-release-ami-slurm.md).
+ For Amazon EKS orchestration, see [SageMaker HyperPod AMI releases for Amazon EKS](sagemaker-hyperpod-release-ami-eks.md).

For information about Amazon SageMaker HyperPod feature releases, see [Amazon SageMaker HyperPod release notes](sagemaker-hyperpod-release-notes.md).