[mathisfun123]

> Triton is a python-like language to define ML math operations that run efficiently on hardware accelerators like GPUs or TPUs. OpenAI open sourced it.

This is incorrect. Triton has literally no path to TPU and it has always been open source because it was Philippe Tillet's PhD project (OAI simply hired Philippe).

> 95% of working ML engineers will never need to write Triton, and will be more than satisfied with PyTorch.

Maybe 95% of hobbyist ML engineers but professional ML engineers are absolutely writing Triton day-to-day (eg FB has an army of such people). Even if you're not writing Triton you're still using Triton through inductor.

> because it is interesting, fun, easy, and people are impressed when you tell them you did

Professionals write Triton not for any of the reasons you mentioned but for the same reason they wrote CUDA kernels prior: it's a path to peak performance for their specific workloads (where stock PyTorch kernels have mediocre performance).