The Leader in Smart AI-Native Data

Tensormesh Platform is a Data Management Layer for AI Inference. The platform enables a multi-tier scalable KV Cache that rapidly reduces miss rate and significantly cuts GPU recompute, addressing AI data challenges related to efficiency, cost, and quality. The solution becomes the foundation of the enterprise's AI intelligent data, available to operators and agents to manage, analyze, and optimize.

Learn more about Tensormesh Platform

How it works

Tensormesh caches context your app sends repeatedly, then reuses it on future requests.

See how context caching works

Tensormesh Platform

As Enterprise deploy AI workload in Self Hosted Infrastructure, the Tensormesh Platform addresses the following challenges:

AI Data Sovereignty

Data Retention in Regulated Environment

Cost Reduction

Performance Optimization

Sustainability

Reviews

Trusted by teams scaling AI workloads

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

Co-Founder, Databricks

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

Rowan T.

CEO

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.

Software Engineer

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.

Product Lead

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

Ido B.

CEO