Once complete, you should see a series of outputs that end in done.:Ĭongratulations! You should have a working installation of CUDA by now. Sudo mv cuda-wsl-ubuntu.pin /etc/apt/preferences.d/cuda-repository-pin-600 Then setup the appropriate package for Ubuntu WSL: Download the latest toolkits, SDKs, documentation, software, and other resources to. Deploy the latest GPU optimized AI and HPC containers, pre-trained models, resources and industry specific application frameworks from NGC and speed up your AI and HPC application development and deployment. Also notice that attempting to install the CUDA toolkit packages straight from the Ubuntu repository (“cuda”, “cuda-11-0”, or “cuda-drivers”) will attempt to install the Linux NVIDIA graphics driver, which is not what you want on WSL 2. NVIDIA Optimized Containers, Models, and More. Be aware that older versions of CUDA (<=10) don’t support WSL 2.

The following commands will install the WSL-specific CUDA toolkit version 11.6 on Ubuntu 22.04 AMD64 architecture. On WSL 2, the CUDA driver used is part of the Windows driver installed on the system, and, therefore, care must be taken not to install this Linux driver as previously mentioned. Normally, CUDA toolkit for Linux will have the device driver for the GPU packaged with it. You can download the drivers from NVIDIA’s website. Having the latest Nvidia drivers installed on your PC will ensure that you’re making the most of your Nvidia graphics card (or Nvidia-powered gaming laptop) and that your GPU is running as.

Download drivers nvidia