Well CUDA is only one thing. Especially in the python environment it's only a matter for time before you run in some wierd dependency issue that is Windows only

Well CUDA is only one thing. Especially in the python environment it's only a matter for time before you run in some wierd dependency issue that is Windows only. For example, getting XGBoost completely up and running on Windows requires you to either build it yourself or download a .dll from a university link. Installing it on Linux is just a proper pip install. Also windows not having a build in C compiler makes you dependent on the horribly convoluted Visual Basic stack that seems to have a lot of dependencies for some python ML libraries. Docker makes it a lot better to run and I almost always deploy in a docker container because the ML modules I deliver are often interacted with as a black box with a REST API on top.