Amazon announced a reference architecture that lets different internal teams share the same GPU cluster while keeping their workloads isolated and costs separate. The setup uses SageMaker HyperPod on Amazon EKS, Kubernetes namespaces for isolation, and HyperPod Task Governance to enforce fair resource quotas. Identity management is handled through AWS IAM Identity Center, which can sync with corporate directories like Microsoft Entra ID. Teams can access the cluster via the SageMaker Studio GUI or the CLI, each confined to their own namespace.
Why it matters
Enterprises can run multiple AI projects on a single expensive GPU pool without risking data leaks or unpredictable spending.
