Tensormesh is the leader in caching-accelerated inference optimization for enterprise AI. Founded by faculty, PhD 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.

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