NixOS CUDA - Public Room Timeline

	NixOS CUDA	303 Members
	CUDA packages maintenance and support in nixpkgs \| https://github.com/orgs/NixOS/projects/27/ \| https://nixos.org/manual/nixpkgs/unstable/#cuda	61 Servers

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19 Nov 2025

Sender	Message	Time
19 Nov 2025
Robbie Buxton	In reply to @jfly:matrix.org to avoid an XY problem: what i'm actually doing is experimenting with defining systemd nixos containers that run cuda software internally, and i'm not sure how to get the right libcuda.so's in those containers so they play nicely with the host's kernel If you run the host systems cuda kernel drivers ahead of the user mode drivers it’s normally fine provided it’s not a major version change (I.e 13 vs 12)	18:35:26
Jeremy Fleischman (jfly)	Do the systemd NixOS containers provide their own copy of NVIDIA's driver? If not, they wouldn't have libcuda.so available. afaik, they do not automatically do anything (please correct me if i'm wrong). i making them get their own libcuda.so by explicitly configuring them with `hardware.graphics.enable = true;` and `hardware.graphics.extraPackages`. mounting the cuda runtime from the host makes sense, though! thanks for the link to this nvidia-container-toolkit	18:39:03

Robbie Buxton

In reply to @jfly:matrix.org
to avoid an XY problem: what i'm actually doing is experimenting with defining systemd nixos containers that run cuda software internally, and i'm not sure how to get the right libcuda.so's in those containers so they play nicely with the host's kernel

If you run the host systems cuda kernel drivers ahead of the user mode drivers it’s normally fine provided it’s not a major version change (I.e 13 vs 12)

18:35:26

Jeremy Fleischman (jfly)

Do the systemd NixOS containers provide their own copy of NVIDIA's driver? If not, they wouldn't have libcuda.so available.

afaik, they do not automatically do anything (please correct me if i'm wrong). i making them get their own libcuda.so by explicitly configuring them with hardware.graphics.enable = true; and hardware.graphics.extraPackages.

mounting the cuda runtime from the host makes sense, though! thanks for the link to this nvidia-container-toolkit

18:39:03

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