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Managing Ray workloads - Amazon SageMaker AI
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Managing Ray workloads

Ray workloads on HyperPod are KubeRay custom resources. You manage them from the Amazon SageMaker Studio web interface or by applying manifests with kubectl. Both surfaces act on the same resources, so you can move between them on the same workload.

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