Ensure you have the latest kernel by selecting Check for updates in the Windows Update section of the Settings app. Once you've installed the above driver, ensure you enable WSL and install a glibc-based distribution (such as Ubuntu or Debian). CUDA on Windows Subsystem for Linux (WSL).For more info about which driver to install, see: Install the GPU driverĭownload and install the NVIDIA CUDA enabled driver for WSL to use with your existing CUDA ML workflows. To use these features, you can download and install Windows 11 or Windows 10, version 21H2. Install Windows 11 or Windows 10, version 21H2 Open your terminal CTRL+ALT+T and find the information on your graphics card first. Advanced users prefer using command-based commands, but the beginner can quickly achieve this with the following. The first option is to install NVIDIA drivers for your system using the command line. This includes PyTorch and TensorFlow as well as all the Docker and NVIDIA Container Toolkit support available in a native Linux environment. Install NVIDIA Drivers APT Method Ubuntu Repository. Windows 11 and Windows 10, version 21H2 support running existing ML tools, libraries, and popular frameworks that use NVIDIA CUDA for GPU hardware acceleration inside a Windows Subsystem for Linux (WSL) instance.

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