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NixOS CUDA

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CUDA packages maintenance and support in nixpkgs | https://github.com/orgs/NixOS/projects/27/ | https://nixos.org/manual/nixpkgs/unstable/#cuda56 Servers

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7 Oct 2025
@connorbaker:matrix.orgconnor (burnt/out) (UTC-8)Using toJSON calls addToStore on paths before serializing so they’re valid; I guess I could try using unsafeDiscardWhatever before serializing to JSON to see if that’s enough to prevent realization01:32:05
@connorbaker:matrix.orgconnor (burnt/out) (UTC-8) There was a --read-only flag I had forgotten about 03:47:47
@connorbaker:matrix.orgconnor (burnt/out) (UTC-8)

Okay, it's way faster now and doesn't need a ramdisk.
Where as previously it would take about 1m40s on my i9-13900k now it's taking about 20s to do

time nix build -L ".#reports.x86_64-linux.pkgs-cuda-post^*" --builders '' --rebuild
03:53:40
@connorbaker:matrix.orgconnor (burnt/out) (UTC-8)For generating a single report htop shows it was taking about 18% of my RAM (less than 20GB)03:57:11
@connorbaker:matrix.orgconnor (burnt/out) (UTC-8)To clarify, it wasn’t enough to use unsafeDiscardStringContext because the derivation was instantiated as soon as drvPath was evaluated, even before toJSON. Using the read-only argument (which is different than the store URI query parameter of the same name lmao) avoids the instantiating.06:54:57
@connorbaker:matrix.orgconnor (burnt/out) (UTC-8)https://cuda-index.someonex.net15:40:22
@connorbaker:matrix.orgconnor (burnt/out) (UTC-8)https://forge.someonex.net/else/sidx15:40:26
@ss:someonex.netSomeoneSerge (back on matrix) connor (he/him) (UTC-7): ping about azure stuff again 19:30:18
@ss:someonex.netSomeoneSerge (back on matrix)Hey, we've been getting more experience with infra and hydra now, and I think like ephemeral builders are becoming more and more relevant. May I ask you to elaborate?19:34:01
@ss:someonex.netSomeoneSerge (back on matrix) * connor (he/him) (UTC-7): ping about azure images again 19:34:34
@ss:someonex.netSomeoneSerge (back on matrix) MI25s to test ROCm? CC Lun
https://docs.azure.cn/en-us/virtual-machines/sizes/gpu-accelerated/nv-family
19:39:24

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