Stop paying models to reprocess the same context

Enterprises everywhere are wrestling with the huge costs of AI inference, Tensormesh’s approach delivers a fundamental breakthrough in efficiency and is poised to become essential infrastructure for any company betting on AI.

Tensormesh enabled distributed KV-cache sharing across servers—delivering performance that exceeded expectations.

The LMCache team rapidly adapts and delivers results that stabilize and optimize model hosting. It’s a major step forward for enterprise LLM performance.

Our collaboration with LMCache accelerated our GDS open-source release and achieved a 41× reduction in time-to-first-token—transforming large-scale AI economics.

We’ve seen major LLM efficiency and cost savings using the vLLM Production Stack from Tensormesh’s founders.