Introducing new Ray capabilities on SageMaker HyperPod
· By Antonio Sedino, CTRO · Published by Reinventy Solutions Corp.
Amazon SageMaker HyperPod now offers managed Ray support on Amazon EKS. Create and monitor Ray clusters, connect JupyterLab and Code Editor notebooks to live clusters, get out-of-the-box observability, and run resilient distributed training and accelerated inference from SageMaker Studio, all with open-source KubeRay a
Amazon SageMaker HyperPod expands its managed Ray integration on Amazon EKS, providing users the ability to create and monitor Ray clusters directly within the HyperPod environment. The update includes connectivity for JupyterLab and Code Editor notebooks to live clusters, out-of-the-box observability features, and support for resilient distributed training and accelerated inference. All capabilities are built on open-source KubeRay, offering a consistent experience for orchestrating Ray workloads at scale within the AWS ecosystem.