Nvidia Datacenter Driver

[SkunkMyrddyn]

I'm adding a Nvidia Tesla A2 card to my server to support Cuda / Tensor flow / other AI and compute node acceleration. (the card does not have video out connections)

I am having a difficult time installing the correct driver for the system. The general "nvidia-drivers" package 1) requires X (this is a headless server), and 2) does not list this card as supported (if I'm reading the documentation correctly).

Does anyone know how to get the correct driver(s) installed so that pytorch can recognize the nvidia compute nodes for acceleration?

[tiffany]

NVidia's site has a separate section for datacenter drivers. Have you seen them?

I see that they support RHEL, Debian and others.

[SkunkMyrddyn]

I checked those out and wasn't sure how to convince gentoo to handle one of the other packaging formats. So I did grab the tarballs they have, which have a nvidia-installer binary; but I can't get that to run either.

I found that it has a --no-x-check that will bypass seeing if X (of some kind) is installed or not.
However, the installer errors out saying it cannot figure out my initramfs. Which makes sense as I am not using an initramfs at all on this system. Nor do I see an option to inform that installer to bypass it.

I feel like I'm missing something basic.

[Banana]

I'm not an expert in this, but there is a nvdia-cuda-toolkit package available: https://packages.gentoo.org/packages/dev-util/nvidia-cuda-toolkit
Maybe this can help.

Also, what happends if you install https://packages.gentoo.org/packages/x11-drivers/nvidia-drivers and have set -X as a useflag?
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[SkunkMyrddyn]

The nvidia-cuda-toolkit doesn't install a driver, so python torch does not find any cuda devices.

With -X set as a USE flag blocks the x11-drivers/nvidia-drivers from installing.

[Hu]