I am using my Institute GPU through ssh server (Pardon the terms, I am a newbie). I have been trying for so long but PyTorch torch.cuda.is_available() returns False.
Here is the output of nvidia-smi:

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I have also run some commands: torch.cuda.is_available() returns False , while torch.backend.cudnn.enabled is True . I have tried with cudatoolkit 10.2 and cudatoolkit 11.1 , as well as cudatoolkit 11.3 also and I am still not being able to make a conda environment. After research I have come to know that the issue is due to driver incompatibility, but I still cannot find the solution.
Any help is appreciated. I am tagging @ptrblck as I am in a desperate need of help. The results here are for PyTorch 1.10.0 and cudatoolkit 10.1.243.
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Here is conda list torch.

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