Well, of course I don't have performance numbers or anything.
In general, the RISC-V Vector Unit has very much been designed to make those workloads faster. Many new AI/ML companies are using RISC-V and Vectors but usually with some of their own non-standard stuff.
Esperanto has Vectors with TPU. TensTorrent has done a lot of work on software to use their chip as a dataflow engine. And so on and so on.
So essentially, Nvida is making a huge amount of money and all those companies will want a piece of it.
I would say RISC-V Vector is a better design then x86 SIMD.
RISC-V is also not done, there are efforts to standardize things like matrix and other things used for AI/ML workloads.
panick21_|2 years ago
In general, the RISC-V Vector Unit has very much been designed to make those workloads faster. Many new AI/ML companies are using RISC-V and Vectors but usually with some of their own non-standard stuff.
Esperanto has Vectors with TPU. TensTorrent has done a lot of work on software to use their chip as a dataflow engine. And so on and so on.
So essentially, Nvida is making a huge amount of money and all those companies will want a piece of it.
I would say RISC-V Vector is a better design then x86 SIMD.
RISC-V is also not done, there are efforts to standardize things like matrix and other things used for AI/ML workloads.