{"id":"275ca3b3-2889-4f4a-bf24-ea22072dceb8","url":"https://api.tumn.com/news/275ca3b3-2889-4f4a-bf24-ea22072dceb8","title":"Share GPU clusters across teams with isolation and fairness using Amazon SageMaker HyperPod","summary":"A reference architecture for securely sharing one Amazon SageMaker HyperPod EKS cluster across multiple teams, using AWS IAM Identity Center for authentication, per-team SageMaker Domains and Kubernetes namespaces for isolation, HyperPod Task Governance for fairness, and namespac","sections":[],"faq":[],"sources":[{"url":"https://aws.amazon.com/blogs/machine-learning/share-gpu-clusters-across-teams-with-isolation-and-fairness-using-amazon-sagemaker-hyperpod/","title":"AWS Machine Learning Blog","publishedAt":"2026-10-08T16:20:04.000Z"}],"author":"TUMN 큐레이션","aiAssisted":false,"reviewStatus":"automated","reviewNote":"원문 제목과 공개된 발췌를 인용하고 원문으로 연결합니다. 내용을 재작성하거나 요약하지 않았습니다.","publishedAt":"2026-10-08T16:20:04.000Z","modifiedAt":"2026-10-08T20:24:36.000Z","checkedAt":"2026-10-08T20:24:36.564Z","language":"ko","kind":"link","sourceLabel":"AI 공식","profile":null,"via":null,"formats":{"json":"https://api.tumn.com/news/275ca3b3-2889-4f4a-bf24-ea22072dceb8.json","markdown":"https://api.tumn.com/news/275ca3b3-2889-4f4a-bf24-ea22072dceb8.md"}}