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

Excerpt from the source

Multiple teams within the same company increasingly need shared access to expensive GPU clusters for their generative AI operations, while maintaining isolation boundaries, resource fairness, and operational independence. Consider a data science team training large language models, a computer vision group running inference workloads, and a research team experimenting with new model architectures. All of them might need access to the same cluster. Without a well-designed multi-tenant…