SageMaker HyperPod gets managed Ray on EKS with four prebuilt Grafana dashboards and no Kubernetes manifests
AWS Machine Learning Blogmedium signalAWS announced on 2026-08-24 that SageMaker HyperPod now offers managed Ray on EKS, letting data scientists create clusters, open the Ray Dashboard and Amazon Managed Grafana views, and attach a JupyterLab or Code Editor workspace from the console without writing Kubernetes manifests. Workspaces attach as zero-compute worker nodes so standard Ray APIs run distributed training straight from a notebook. The Observability add-on provisions Ray Core, Ray Data, Ray Train and Ray Serve dashboards automatically, and resiliency covers automatic node replacement, hung job detection, and tiered checkpointing that checks local HyperPod storage before S3. It uses the open-source KubeRay operator, so existing scripts run unmodified, and is live in all regions where HyperPod EKS is supported.
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