It’s 2019, and Moore’s Law is dead. CPU performance is plateauing, but GPUs provide a chance for continued hardware performance gains, if you can structure your programs to make good use of them. CUDA is a platform developed by Nvidia for GPGPU–general purpose computing with GPUs. It backs some of the most popular deep learning libraries, like Tensorflow and Pytorch, but has broader uses in data analysis, data science, and machine learning. There are several ways that you can start taking …