Multi-account support for Amazon SageMaker HyperPod task governance
Machine Learning Blog
This article discusses multi-account support for Amazon SageMaker HyperPod task governance, providing organizations a way to share centralized GPU computing infrastructure across different accounts and teams.
- Enables organizations to maximize GPU resource utilization across multiple AWS accounts
- Uses SageMaker HyperPod task governance to allocate compute resources and control access
- Provides cross-account access for data scientists using IAM roles and Kubernetes namespaces
- Supports cross-account data access using EKS Pod Identity and S3 Access Points
- Allows fine-grained control over compute quotas and resource allocation
The solution helps enterprises manage complex, distributed AI/ML workloads by providing secure, flexible, and granular access to shared GPU computing resources across different accounts and teams.
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