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#Check nvidia cuda toolkit installed updateEnsure you have the latest kernel by selecting Check for updates in the Windows Update section of the Settings app. See the architecture overview for more details on the package hierarchy. For podman, we need to use the nvidia-container-toolkit package. #Check nvidia cuda toolkit installed installAfter installing podman, we can proceed to install the NVIDIA Container Toolkit. This includes PyTorch and TensorFlow as well as all the Docker and. Step 2: Install NVIDIA Container Toolkit. Once you've installed the above driver, ensure you enable WSL and install a glibc-based distribution (such as Ubuntu or Debian). 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. After the GPU passthrough and installing the NVidia drivers. ![]() Whats strange is that Ive installed nvidia- cuda-toolkit from apt. The test system used below is a virtual machine with two NVidia GT 730 cards attached to it.
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