Tensormesh works with infrastructure leaders across compute, storage, and AI platforms to help teams cache repeated context and reduce the cost of production AI workloads.
Our partners
Select a partner type to see who we work with.
Hardware and GPU partners helping Tensormesh optimize performance for context-heavy AI workloads.
“As enterprises scale AI workloads, maximizing every GPU cycle is critical. Software innovations like KV caching are a powerful complement to raw accelerator performance. Paired with AMD Instinct™ GPUs, Tensormesh’s platform can help customers drive value from their infrastructure investments.”
Enterprise open-source leaders bringing LMCache and Tensormesh to the Linux and Kubernetes platforms teams already run in production.
“We are excited about our collaborations with the LMCache community.”
Memory and storage partners helping Tensormesh cache repeated context across high-performance infrastructure.
“As AI workloads grow, intelligent reuse of cached state has become one of the most powerful levers for performance and cost efficiency. Tensormesh’s LMCache is built to take full advantage of next-generation storage, and we look forward to our continued collaboration to push the boundaries of what’s possible across the AI stack.”
AI platforms embedding Tensormesh to bring context caching directly into their products and infrastructure.
Tell us about your platform and what you want to build together.
Partners bundling Tensormesh to deliver GPU cost savings to their customers.
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Open source
Tensormesh is built on LMCache, the open-source project created by our founders to reduce redundant model work. We package it with the reliability, controls, and partner integrations needed for production AI workloads.
Partner news
Become a partner
Work with us to make context-heavy AI faster, cheaper, and easier to run at scale.
We partner with companies across the AI infrastructure stack to deliver more efficient, lower-cost AI inference for production workloads.
