GPU Environments in One Command
Setting up a GPU-accelerated development environment takes experience and expertise. You start with a CUDA® download from NVIDIA, navigate a series of platform, version, and architecture selections just to download cuDNN, then spend time cross-referencing version compatibility across the GPU driver, the CUDA toolkit, the CUDA libraries, and the framework you actually want to use. […]