NVIDIA GPU passthrough into Linux HVMs for CUDA applications

[ddevz]

@hind0

Could you share the corrected solution for this problem? According to qubes docs Managing qube kernels | Qubes OS
my understanding is that if I specify the vm’s settings to use HVM and “none” for kernel, it should use the “vm kernel” default.
I don’t yet understand, what exactly is the difference between “vm kernel” default vs if I just left the settings untouched and used the normal default?

My “solution” was to use “none” for the kernel, then post the above to try to find out if there was a differnt way I was supposed to do it. His instructions show kernel “5.10.96-1.fc32” being used, which I believe means it’s using a kernel that’s installed in the qubes dom0. If that is the case, then if his screenshot is for a working system then he must have more steps that he did to get it to get the headers into the vm to complie against, but i do not know what those steps are.

Also, of interest, you need to look up the card that you have and find out which nvidia driver you need to use as there are seperate drivers for seperate “generations” of cards, meaning that you’d type something else for the package name in:

sudo dnf install akmod-nvidia

(it would still have the akmod string in the package name)

I got the driver to load successfully, but I still don’t have working CUDA.

Also, it’s unlikely, but people looking at this page might also be interested in OpenCL: Success Report: Passthrough GPU used by OpenCL success (kinda)