[dismalaf]

> But this is 100% a python-for-CUDA-C replacement on the GPU

Ish. It's a Python maths library made by Nvidia, an eDSL and a collection of curated libraries. It's not significantly different than stuff like Numpy, Triton, etc..., apart from being made by Nvidia and bundled with their tools.

[gymbeaux]

I’m mainly interested in the performance implications. The less shit between me and the hardware, theoretically the better the performance. In a world where these companies want to build nuclear power plants just to power NVIDIA GPU data centers, I feel like we need to be optimizing the code where possible.