With the AI infrastructure push reaching staggering proportions, there’s more pressure than ever to squeeze as much inference as possible out of the GPUs they have. And for researchers with expertise in a particular technique, it’s a great time to raise funding.

That’s part of the driving force behind Tensormesh , launching out of stealth this week with $4.5 million in seed funding. The investment was led by Laude Ventures, with additional angel funding from database pioneer Michael Franklin .

Tensormesh is using the money to build a commercial version of the open-source LMCache utility, launched and maintained by Tensormesh co-founder Yihua Cheng. Used well, LMCache can reduce inference costs by as much as ten times — a power that’s made it a staple in open-source deployments and

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