CEO Junchen Jiang will be at the event to talk KV caching and AI inference economics, and showcase innovation from Tensormesh

Tensormesh, the company pioneering caching-accelerated inference optimization for enterprise AI, will exhibit at The AI Conference 2026, Sept. 30 through Oct. 1 at Pier 48 in San Francisco. Attendees can stop by Booth #214 to learn more about KV cache offloading, inference cost, and how to make GPU memory go further at scale. Junchen Jiang, Tensormesh co-founder and CEO and co-creator of LMCache, will be on-site speaking with builders, researchers, and infrastructure leaders about how KV cache reuse cuts inference costs, and what’s next for Tensormesh.

As AI inference moves off single servers and onto GPU fleets, the same prompts and context get recomputed again and again across nodes, with no easy way to share what's already been cached. Tensormesh solves this problem, extending its KV caching expertise to address the challenge at the fleet level with Tensormesh Platform.

WHAT: Tensormesh walk-throughs and conversations with the team on how KV caching works and where it's headed

WHO: Junchen Jiang, co-founder and CEO of Tensormesh. Jiang is a University of Chicago faculty member and co-creator of LMCache, the open source KV caching project

WHEN: Sept. 30-Oct. 1, 2026

WHERE: Booth #214, The AI Conference 2026, Pier 48 (Shed A and B), San Francisco

Conference attendees are welcome to stop by Booth #214 throughout the show. Members of the media interested in scheduling a briefing or demo with Junchen may contact PRforTensormesh@bospar.com.

About Tensormesh

Tensormesh is the leader in smart AI-native data management and caching-accelerated inference optimization for enterprise AI. Founded by faculty, Ph.D. researchers and alumni from the University of Chicago, UC Berkeley, and Carnegie Mellon, and led by Junchen Jiang, University of Chicago faculty member and co-creator of LMCache, Tensormesh builds on years of academic research in distributed systems and AI infrastructure. The company has raised $28.5 million in total funding and is backed by Valley Capital Partners, NVentures, AMD Ventures, CoreWeave, Laude Ventures, and more.

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