I've updated the install instructions to use driver version 410 (necessary for CUDA 10, but should retain backwards compatibility with older CUDA versions). The same tricks should also work for the newer Titan Xp graphics card. Tensorflow and PyTorch since the card (as of this writing) is relatively new, the process was pretty involved. I recently had to figure out how to set up a new Ubuntu 16.04 machine with NVIDIA's new GTX 1080 Ti graphics card for use with CUDA-enabled machine learning libraries, e.g. Installing and Updating GTX 1080 Ti Drivers / CUDA on Ubuntu Apmachine learning, python, nvidia, CUDA, drivers, tensorflow
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