Amazon SageMaker HyperPod

Headlines · 2

1. 1d
   Best practices for Amazon SageMaker HyperPod administration and governance

   An AWS Machine Learning Blog post explains how to administer Amazon SageMaker HyperPod clusters through Amazon SageMaker Unified Studio while preserving underlying governance controls. It lays out four layers of control — organization, project, cluster, and workload — and covers designing identity, capacity, and observability policies across them, plus a "connection contract" record for each approved project-to-cluster connection.

   AWS Machine Learning Blog · 🔥 5
2. 1d
   SageMaker Studio can now manage HyperPod Spaces without the CLI

   AWS says users can now create, configure, start, stop and open Amazon SageMaker Spaces on Amazon SageMaker HyperPod EKS clusters directly from the SageMaker Studio UI, instead of relying on the HyperPod CLI or kubectl. A new IDE and Notebooks tab on the cluster detail page offers a guided form and a searchable Spaces table, with browser access to JupyterLab or Code Editor and remote VS Code access over SSH-over-SSM. AWS says Karpenter over-provisioning can cut Space startup from 5–7 minutes to roughly 30–40 seconds.

   AWS Machine Learning Blog · 🔥 4

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