SageMaker HyperPod 管理与治理最佳实践

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   AWS Machine Learning Blog

   Amazon SageMaker HyperPod 管理与治理最佳实践

   Amazon SageMaker HyperPod 为 ML 团队提供大规模加速算力用于训练和微调模型，多团队共享集群时治理是难点。文章提出通过 SageMaker Unified Studio 管理 HyperPod 的四层控制模型：组织、项目、集群与工作负载，并说明如何跨层设计身份、容量与可观测性策略。

Current heat 9·Comparable peak 10（Oct 7）·Comparable change over 24 hours –

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