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id: "294e69e63603818093ea2871058e76aca5897343ff20f04030cd6cd73329305d"
canonical_url: "https://aidr.today/294e69e6?lang=en"
title: "Share GPU clusters across teams with isolation and fairness using Amazon SageMaker HyperPod"
lang: "en"
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published_at: "2026-10-08T16:20:04.000Z"
category: "Infra"
topics: ["amazon"]
source_urls: ["https://aws.amazon.com/blogs/machine-learning/share-gpu-clusters-across-teams-with-isolation-and-fairness-using-amazon-sagemaker-hyperpod/"]
summary: "Amazon SageMaker HyperPod offers a reference architecture for securely sharing one EKS cluster across multiple teams. It utilizes AWS IAM Identity Center for authentication, SageMaker Domains and Kubernetes namespaces for isolation, HyperPod Task Governance for fairness, and namespace-level cost allocation for chargeback."
---

# Share GPU clusters across teams with isolation and fairness using Amazon SageMaker HyperPod

> [Open the canonical story](<https://aidr.today/294e69e6?lang=en>)

**Published:** 2026-10-08T16:20:04.000Z
**Category:** Infra
**Topics:** amazon

## Summary

Amazon SageMaker HyperPod offers a reference architecture for securely sharing one EKS cluster across multiple teams\. It utilizes AWS IAM Identity Center for authentication, SageMaker Domains and Kubernetes namespaces for isolation, HyperPod Task Governance for fairness, and namespace\-level cost allocation for chargeback\.

## Sources

- [Story source](<https://aws.amazon.com/blogs/machine-learning/share-gpu-clusters-across-teams-with-isolation-and-fairness-using-amazon-sagemaker-hyperpod/>)