Unfortunately uv is usually insufficient for certain ML deployments in Python. It's a real pain to install pytorch/CUDA with all the necessary drivers and C++ dependencies so people tend to fall back to conda.
Any modern tips / life hacks for this situation?
It would be a fun callback if the demo was a factorial server:
https://joearms.github.io/#2013-11-21%20My%20favorite%20Erla...
Unfortunately uv is usually insufficient for certain ML deployments in Python. It's a real pain to install pytorch/CUDA with all the necessary drivers and C++ dependencies so people tend to fall back to conda.
Any modern tips / life hacks for this situation?