How severe does this issue affect your experience of using Ray?
I need to use a different version of CUDA than the one provided in the Ray ML docker images. This requires me to build my own docker image with Ray installed. What are the Python/system dependencies I need for a Ray worker node?
An alternative to this, would be if I could specify a CUDA version for the ray gpu image.
Edit: I see that I can choose the CUDA version. While I have a slight desire to know what goes into my Docker images, that’s a problem for another day.