Tensormesh and AMD Collaborate to Empower Fewer GPUs to Serve More Models

San Francisco-based Tensormesh has partnered with AMD to enhance caching-accelerated inference optimization for enterprise AI. The collaboration will integrate Tensormesh's KV cache solution with AMD's virtual memory technology, enabling the serving of more models on fewer GPUs. This partnership aims to maintain high KV cache hit rates and throughput, especially when dealing with oversubscribed high-bandwidth memory (HBM). Tensormesh is leveraging AMD's GPU technology and Live Cont to achieve these goals.