Guide to Multi-Tenant GPU Cluster Design Released

Together AI has released a comprehensive guide on the design of multi-tenant GPU clusters aimed at AI-native companies. The guide outlines the importance of shared compute environments that maintain isolation for different teams, addressing common challenges such as idle capacity and resource allocation. Key design principles include pooled capacity, tenant isolation, and self-serve access, which are essential for optimizing GPU utilization. This approach allows organizations to scale their AI infrastructure efficiently while minimizing costs and maximizing performance.