Anyone who’s set up a new Linux based, GPU enabled, deep learning system knows the horror that is driver installation. While it is technically possible to install NVIDIA drivers and CUDA from your package manager, the most up to date versions aren’t available and in the worst case you might even break graphics on your machine. After a great deal of difficulties installing and reinstalling, I finally found a viable strategy: installing both CUDA and proprietary Linux drivers from an NVIDA run file without OpenGL libraries.