What is fundamentally different about the tensorflow/tensorflow images vs the nvidia/cuda docker images from the perspective of GPU support? I don’t care about e.g. the Python stuff. For example, I would have thought the nvidia image already includes CUDA and cuDNN, so why does the tensorflow image appear to install it too? I’m asking so I can direct users how to use my library outside a Docker container, or make my own minimal image.