> I work professionally in ML and have not had to touch conda in the last 7 years. In an ML cluster, it is hopefully containerized and there is no need for that?

I wish my life had been like this. Unfortunately I always appear to end up needing to make this stuff work for everyone else (the curse of spending ten years on Linux, I suppose).

But then ML is a very broad church, and particularly if you're a researcher in a bigger company then I could see this being true for lots of people (again, i wish this was me).