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 This includes PyTorch and TensorFlow as well as all the Docker and NVIDIA Container Toolkit support available in a native Linux environment.
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.
0 kommentar(er)
