Hmm, but supposing the accelerated NVIDIA specific inference data types were available for Triton, then you would just use that? Why not contribute to Triton, they accept PRs? Like so what if you do free product ecosystem development for NVIDIA and giant corporations by contributing to Triton?
https://pytorch.org/blog/pytorch-2-7/
> The main objective is to learn writing attention in CUDA C++, since many features are not available in Triton, such as MXFP8 / NVFP4 MMA for sm120.