I was interested in using the nVIDIA PyTorch container with Docker Desktop for Windows and the WSL2 back end enabled. Since I am a novice, I wanted to know if this is possible, and if so, some guidance on how to proceed with pointers if possible. For example, do I also need to install the nVIDIA Container Toolkit in order to make use of my nVIDIA GPUs? Any assistance would be much appreciated…
Dear Robert:
Thanks for the quick and helpful response. I will study the guide and then come back with further questions as appropriate. My intention is to try and use Docker Desktop for Windows to run a containerized Python code that calls your PyTorch container in order to make use of nVIDIA Quadro RTX5000 GPU cores in my workstation. I will let you know what happens…
Best Regards,
Christopher
I’m not really familiar with docker desktop for windows. It’s not necessary to use that to launch a NGC container in a WSL2 partition. If you decide to use it anyway, I don’t know what issues you may run into, and this wouldn’t be the place to ask questions about docker desktop for windows.
If you follow the guide I linked, you should be able to launch docker containers in WSL2 using a methodology identical to how you would do it on linux. That is the only functionality/modality supported by NVIDIA.
Thanks for that information — you are already helping me much since I am frankly overwhelmed by all the possibilities and associated documentation. Again, I will now concentrate on the guide you recommended and see what happens.