The guy who designed TPU works on RISC-V and is a fan of RISC-V. And on of the reason was his experience with TPU, he realizes that custom hardware is really gr

The guy who designed TPU works on RISC-V and is a fan of RISC-V. And on of the reason was his experience with TPU, he realizes that custom hardware is really great but a more generally programmable approach would have advantages. That's exactly what the RISC-V Vector extension was designed for. When they started TPU RISC-V wasn't ready for something like that and the Vector extension was at best an idea. Saying 'RISC-V' is bad for ML because XY product doesn't use it, is a terrible argument in general. Over the next 10 years we will have literally 1000s of different things that make AI fast. All of those come with tradeoffs. RISC-V as a base chip for many system is clearly a great fit, even on FPGAs. The RISC-V Vector extension is an excellent for many AI problems and many companies are currently working on that.