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Windows AI Studio is in real a Linux AI Studio as it needs WSL to run. Little funny
that probably explain why nvidia only. Amd don't really have rocm for linux on latest consumer cards.
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that probably explain why nvidia only. Amd don't really have rocm for linux on latest consumer cards.
The Nvidia container toolkit works pretty much out of the box on WSL these days as well. Funny that some cuda stuff works better through Windows virtualizing Linux than Windows natively, but if we're being honest even as a native Linux user, WSL probably provides a better user experience (vs having to use Nvidia drivers on Linux anyways)
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that probably explain why nvidia only. Amd don't really have rocm for linux on latest consumer cards.
Support is not nearly as ubiquitous as for CUDA, but it's there for some current and last Gen cards.
Besides that, I don't think I ever heard that they supports container at all.
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that probably explain why nvidia only. Amd don't really have rocm for linux on latest consumer cards.
The Nvidia container toolkit works pretty much out of the box on WSL these days as well. Funny that some cuda stuff works better through Windows virtualizing Linux than Windows natively, but if we're being honest even as a native Linux user, WSL probably provides a better user experience (vs having to use Nvidia drivers on Linux anyways)
Apple has good uniform hardware to enable this, but they are a product company and an “AI studio” would not fit their usual definition of a product. I do hope they are considering going in that direction though.
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The Nvidia container toolkit works pretty much out of the box on WSL these days as well. Funny that some cuda stuff works better through Windows virtualizing Linux than Windows natively, but if we're being honest even as a native Linux user, WSL probably provides a better user experience (vs having to use Nvidia drivers on Linux anyways)
Nvidia drivers work just fine on Linux... unless you are clueless at following instructions
https://forums.developer.nvidia.com/t/545-drivers-have-bad-f...
https://forums.developer.nvidia.com/t/wayland-native-wayland...
https://gitlab.freedesktop.org/xorg/xserver/-/issues/1317
and literally me being a Linux Nvidia 1080ti user for years and having plenty of issues
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The Nvidia container toolkit works pretty much out of the box on WSL these days as well. Funny that some cuda stuff works better through Windows virtualizing Linux than Windows natively, but if we're being honest even as a native Linux user, WSL probably provides a better user experience (vs having to use Nvidia drivers on Linux anyways)
Is the container toolkit even necessary anymore in WSL2? I did a fresh install of windows 10 LTSC a few weeks ago and installed WSL2 and docker with WSL2 integration and I was able to use my nvidia rtx card (checked through nvidia-smi) without any issues.
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Is the container toolkit even necessary anymore in WSL2? I did a fresh install of windows 10 LTSC a few weeks ago and installed WSL2 and docker with WSL2 integration and I was able to use my nvidia rtx card (checked through nvidia-smi) without any issues.
It registered the card, as in you can query the device id using nvidia-smi. But CUDA/cuDNN requires further work.
Windows AI Studio is in real a Linux AI Studio as it needs WSL to run. Little funny
