How it works?
Watch how we use LMCache to eliminate redundant re-computation.
See how Tensormesh works
Performance Gain
2.0x
GPU Cost
Stop paying for the same tokens twice; cache and reuse requests instantly at 10x lower cost
Watch how we use LMCache to eliminate redundant re-computation.
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.
Ion Stoica
Tensormesh enabled distributed KV-cache sharing across servers—delivering performance that exceeded expectations.
Rowan T.
The LMCache team rapidly adapts and delivers results that stabilize and optimize model hosting. It’s a major step forward for enterprise LLM performance.
Prashant P.
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.
Callan F.
We’ve seen major LLM efficiency and cost savings using the vLLM Production Stack from Tensormesh’s founders.
Ido B.
Sign up now to receive $100 in compute credits and see how much your AI stack can save with Tensormesh.
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Friday Marketing Agency
