Fwiw it's not impossible to package all this junk up in Docker. I did it recently. You have to run Docker w/ a whole bunch of flags though, like `--gpus all --i

Fwiw it's not impossible to package all this junk up in Docker. I did it recently. You have to run Docker w/ a whole bunch of flags though, like `--gpus all --ipc=host --ulimit memlock=-1 --ulimit stack=67108864 -p 7860:7860`. And the GPU isn't available during build time unless you do some hacks. But you can build the CUDA junk into the docker image along with Python and all the libs. Combine that with a .bat or .sh to contain the giant `docker run` command and you have a half-OK solution. Aside from having to start docker before being able to run it.