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Manage Amazon SageMaker HyperPod Spaces directly from SageMaker Studio

TL;DR

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.

Nauti's Take

This is worth testing for teams already running HyperPod and provisioning development environments through the CLI. First verify whether Studio exposes the same roles, network rules, cluster options, and cost visibility as your existing workflow, because that determines whether the interface reduces operational work or simply adds another access layer.

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