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SageMaker HyperPod新增Ray支持，让分布式训练和加速推理更简单，值得一试。
Amazon SageMaker HyperPod支持在Amazon EKS上管理Ray，可创建和监控Ray集群，连接JupyterLab和代码编辑器笔记本，提供开箱即用的可观察性，并从SageMaker Studio运行弹性分布式训练和加速推理，使用开源KubeRay和标准Ray API。
原文 · AWS Machine Learning Blog
Introducing new Ray capabilities on SageMaker HyperPod
Amazon SageMaker HyperPod now offers managed Ray support on Amazon EKS. Create and monitor Ray clusters, connect JupyterLab and Code Editor notebooks to live clusters, get out-of-the-box observability, and run resilient distributed training and accelerated inference from SageMaker Studio, all with open-source KubeRay and standard Ray APIs.