Enable NVIDIA CUDA on WSL 2 | Microsoft Docs
docs.microsoft.com › en-us › windowsDec 09, 2021 · 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 WSL 2 instance. This includes PyTorch and TensorFlow as well as all the Docker and NVIDIA Container Toolkit support available in a native Linux environment.
NVIDIA docker on windows? · Issue #665 - GitHub
github.com › NVIDIA › nvidia-dockerMar 13, 2018 · Also, it needs that 'nvidia' docker runtime, but haven't looked into details. Also, there are two docker variants on Windows: Docker via HyperV Linux VM (where you'd 100% need GPU passthrough) and natively. For the native part I think we need the proper driver to be compiled for windows - but I can't see/find the source code for that to even try :
GitHub - NVIDIA/nvidia-docker: Build and run Docker ...
github.com › NVIDIA › nvidia-dockerNov 30, 2021 · The NVIDIA Container Toolkit allows users to build and run GPU accelerated Docker containers. The toolkit includes a container runtime library and utilities to automatically configure containers to leverage NVIDIA GPUs. Product documentation including an architecture overview, platform support, installation and usage guides can be found in the ...