AI brief
Users can now manage Amazon SageMaker HyperPod Spaces directly from SageMaker Studio, including creating, configuring, starting, stopping, and opening them on HyperPod EKS clusters.
Why it matters: It removes the need for command-line steps when launching JupyterLab and Code Editor environments on HyperPod.
Written by AI from AWS Machine Learning Blog's published text.
Source
“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.”
Published by the organisation it describes; treat claims as first-party statements.
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