It seems that WSL2 can directly use the Windows host instance of the GPU and therefore does not need me to install CUDA support within Ubuntu 22.04. Running nvidia-smi inside the WSL reports a Persitence-M graphics card, and Nvidia GeForce RTX 2060 so looks good. Any Tensorflow code I run does use my GPU. Great. However i have some code that needs CuDNN (specifically DLIB) and I am wondering do I install this in Windows 11 host or in the Ubuntu WSL2 instance?
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Hi @simon.bunn ,
I am checking on this with the engineering team.
Will share the update.
Thanks
Hi @simon.bunn ,
If you are using your application in WSL2, you would need to install cuDNN within WSL2.
Thanks
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should we also install cuda toolkit?
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