Cool stuff. I looked at https://en.wikipedia.org/wiki/Hopper_%28microarchitecture%29 https://en.wikipedia.org/wiki/Hopper_%28microarchitecture%29 and I noticed

Cool stuff. I looked at https://en.wikipedia.org/wiki/Hopper_%28microarchitecture%29 https://en.wikipedia.org/wiki/Hopper_%28microarchitecture%29 and I noticed that that the fp8 support is only for the tensor cores and not the CUDA side. Does that mean training with H100 GPU in fp8 mode would use some software ecosystem that's not the existing vast existing CUDA one? Or am I just misunderstanding CUDA cores vs tensor cores? PS, as a joke, they should implement GPU fluint8 and get baked in non-linearity for the activation function without even using a non-linear function, https://www.youtube.com/watch?v=Ae9EKCyI1xU https://www.youtube.com/watch?v=Ae9EKCyI1xU ("GradIEEEnt half decent: The hidden power of imprecise lines" by suckerpinch)