Microsoft Entra ID
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- AWS details multi-tenant GPU cluster sharing on SageMaker HyperPod
An AWS Machine Learning Blog post lays out a reference architecture for letting multiple teams share a single Amazon SageMaker HyperPod (EKS) GPU cluster while preserving isolation and fairness. It uses AWS IAM Identity Center for centralized authentication (federating with Microsoft Entra ID via SCIM provisioning and SAML 2.0), per-team SageMaker AI domains and execution roles, and Kubernetes namespaces for workload isolation. HyperPod Task Governance handles fair resource allocation, namespace-level cost allocation provides per-team chargeback visibility, and storage is split across FSx for Lustre or OpenZFS directories and S3 buckets.
AWS Machine Learning Blog · 🔥 0
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