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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
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.
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- Deploying Kimi K3 on Amazon SageMaker HyperPod and Amazon EKS
- Multi-Region training with Amazon SageMaker HyperPod and Qumulo
Source: AWS ML Blog | 2026-10-06