I’m excited to announce our new company, MatX, started with Mike Gunter. We want to make AI better, faster, and cheaper by building more powerful hardware. Read on for a short introduction, or see our full announcement here: matx.com.

Introducing MatX: we design hardware tailored for LLMs, to deliver an order of magnitude more computing power so AI labs can make their models an order of magnitude smarter. Our hardware would make it possible to train GPT-4 and run ChatGPT, but on the budget of a small startup.

I really enjoyed talking about the process and business of semiconductor design with Tracy Alloway and Joe Weisenthal on the Odd Lots podcast. Joe and Tracy were wonderful hosts: They put me at ease and guided the conversation with the lightest of touch. We talked about what doing

MatX is designing chips and systems to 10x the computing power for the world’s largest AI workloads. Today, we are pleased to announce the closing of a >$100M Series A funding round led by Spark Capital, with participation from Jane Street, Daniel Gross and Nat Friedman,