Tensormesh Platform

Platform overview
Multi-tier KV cache across GPU, host memory and storage

Documentation

Install, configure and operate Tensormesh

How it works
Coming soon
Capture, place and reuse context

Benchmarks
Coming soon
Hit-rate and time-to-first-token results

Integrations
Coming soon
vLLM, LMCache, Kubernetes and more

Security & Trust

trust.tensormesh.ai

app.tensormesh.ai
Try the Demonstrator
See hit-rate gains on your own prompts before you install anything.
Launch Demonstrator
Resources

Blog
Updates from the Tensormesh team

Learn
LLM inference and KV cache guides

Videos
Coming soon
Webinars, demos, walkthroughs and podcasts

FAQ
Answers to common questions

Learn
LLM inference and KV cache guides
Start learning
Company

About us
The team behind LMCache and Tensormesh

Partners
Build and grow with Tensormesh

Newsroom
Announcements and press

Events
Where to meet the team

Careers
Help build the inference data layer

Newsroom
$20M
raised from AMD Ventures, CoreWeave and NVentures
Read the announcement →
Contact

Blog

Insights & Updates

Product updates, engineering deep dives and company news from the team behind LMCache and Tensormesh.

Sep 14, 2026

Introducing Tensormesh Platform

Reuse more of the GPU work you've already paid for.

Junchen Jiang

Articles

From the team

Aug 18, 2026

Building Production AI Infrastructure: Lessons from AI at Hyperscale

Junchen Jiang

Jul 30, 2026

Why LLM Inference Is a Data Problem, Not Just a Compute Problem

Yihua Cheng

Jul 1, 2026

Designing AI Infrastructure Products for Developers

Bryan Bamford

Jun 24, 2026

Persistent KV Cache: Own Your Context Caching Lifecycle

Sandro Mazziotta, Bryan Bamford

Jun 17, 2026

Fighting the Amnesia Tax: The Hidden Cost of Open-Weight LLM Serving

Sandro Mazziotta, Bryan Bamford

Jun 10, 2026

Run Open-Weight LLMs in Claude Code via Tensormesh Serverless Inference

Sandro Mazziotta, Bryan Bamford

Jun 2, 2026

Run Open-Weight LLMs in Your AI Agent with Codex CLI & Tensormesh Serverless Inference

Sandro Mazziotta, Bryan Bamford

May 28, 2026

Fixing AI’s Most Expensive Problem — Junchen Jiang, Tensormesh CEO

Junchen Jiang

News

Latest news

Oct 14, 2026

Tensormesh Launches Tensormesh Platform to Cut LLM Inference Costs by Reusing KV Cache at Enterprise Scale

Company

Sep 21, 2026

Tensormesh Heads to The AI Conference 2026 With a Solution for Redundant GPU Compute

Event

Jul 23, 2026

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

Partnership