Why does each Python package need its own Base CUDA SDK? Seems like that would just be one Python package and other packages would pull it in.
> The issue with CUDA 11 in particular is not just that CUDA 11 is huge, but that anyone who wants to depend on it needs to bundle it in, because there is no standalone cuda or cuda11 package. It’s also highly unlikely that there will be one in the near to medium future because (leaving aside practicalities like ABI issues and wheel tags), there’s a social/ownership issue. The only entities that would be in a position to package CUDA as a separate package are NIVIDIA itself, or the PyPA/PSF. Both are quite unlikely to want to do this. For a Debian, Homebrew or conda-forge CUDA package it’s clear who would own this - there’s a team and a governance model for each. For PyPI it’s much less clear. And it took conda-forge 2 years to get permission from NVIDIA to redistribute CUDA, so it’s not like some individual can just step in and get this done.
https://discuss.python.org/t/what-to-do-about-gpus-and-the-b...