AINewsnow

Manage Amazon SageMaker HyperPod Spaces directly from SageMaker Studio

Data scientists and ML engineers can now create, configure, start, stop, and open Amazon SageMaker Spaces on SageMaker HyperPod EKS clusters directly from SageMaker Studio. Launch JupyterLab and Code Editor environments in a few clicks, without using command-line tools.

Read the full story at AWS Machine Learning Blog ↗

Timeline · 2 reports

  1. 2026-10-06 15:50 · AWS Machine Learning Blog
    Best practices for Amazon SageMaker HyperPod administration and governance
  2. 2026-10-06 15:47 · AWS Machine Learning Blog
    Manage Amazon SageMaker HyperPod Spaces directly from SageMaker Studio

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