SageMaker Studio Can Now Directly Manage HyperPod Spaces
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On October 6, 2026, AWS announced (primary source) on its Machine Learning Blog a new feature: users can now create and manage SageMaker Spaces running on HyperPod EKS clusters directly from the SageMaker Studio UI. Previously, data scientists needed command-line tools for these operations; now, just a few clicks in the Studio interface are enough to launch JupyterLab or Code Editor environments. This feature lowers the barrier to using HyperPod Spaces, enabling data scientists unfamiliar with the command line to easily manage and use development environments on HyperPod clusters. The report only covers the feature's launch, with no additional technical details or usage restrictions mentioned.
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- AWS Machine Learning BlogManage Amazon SageMaker HyperPod Spaces directly from SageMaker Studio
AWS launched the ability to create and manage SageMaker Spaces on HyperPod EKS clusters directly from the SageMaker Studio UI, letting data scientists launch JupyterLab or Code Editor environments in a few clicks without command-line tools.