Using your GPU with CNTK

We looked at how to install the basic version of CNTK for use with your CPU. While the CNTK package is fast, it will run quicker on a GPU. But not all machines support this setup, and that's why I put the description of how to use your GPU into a separate section.

Before you attempt to install CNTK for use with a GPU, make sure you have a supported graphics card. Currently, CNTK supports the NVIDIA graphics card with at least CUDA 3.0 support. CUDA is the programming API from NVIDIA that allows developers to run non-graphical programs on their graphics cards. You can check whether your graphics card supports CUDA on this website: https://developer.nvidia.com/cuda-gpus.