In 2015, Google released TensorFlow, a new deep learning framework and tensor library that was similar in many ways to Theano. I enjoy using it a lot more than Theano, mostly because of Theano’s long compile times when using Keras and TensorBoard. This post will not go into detail about using Theano, TensorFlow, or Keras. It is about how I built a Docker image for a slightly older NVIDIA card, which, for my purposes, is capable of using multiple GPUs in isolation and executing a model on one card without affecting the other.