Announcing Amazon EKS Integration in Amazon SageMaker HyperPod | AWS Machine Learning Blog

Introduction to Amazon EKS Support in SageMaker HyperPod

We are thrilled to introduce Amazon Elastic Kubernetes Service (Amazon EKS) support in Amazon SageMaker HyperPod, a purpose-built infrastructure engineered with resilience at its core. This capability allows for the seamless addition of SageMaker HyperPod managed compute to EKS clusters, using automated node and job resiliency features for foundation model (FM) development.

Design and Implementation of Resiliency Features

FMs are typically trained on large-scale compute clusters with hundreds or thousands of accelerators, where hardware failures can pose significant challenges. SageMaker HyperPod was designed with a focus on managed resiliency features to mitigate such hardware failures, enabling FM builders to scale their training and inference on Slurm clusters.

Integration of HyperPod Compute with EKS Cluster

Amazon EKS support in HyperPod supports a 1-to-1 mapping between an EKS cluster and a HyperPod compute, providing smooth user experiences for admins and scientists. The integration introduces key resiliency features to ensure the cluster’s health and the continuity of training jobs under unexpected interruptions.

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