Where Triton fits

Triton does not replace every CUDA use case, but it is a strong fit for many dense tensor kernels and plays an important role in PyTorch's modern optimization stack.

Useful questions are:

  • which operators fit Triton well?
  • where does Triton fit relative to eager custom ops?
  • what parts of the stack still need lower-level work?

The next post reconnects internals to distributed runtime behavior.