hamandcheese

Slightly off topic, but Claude Code (and likely other models/harnesses) are incredibly effective at Nix. It can trivially self-verify, without side effects, which is a perfect match for an LLM.

If you've ever been put off by the difficulty of the language, it's worth checking it out again with AI assistance.

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mkagenius

There is also a microvm.nix project which helped us support sandboxes with firecracker. So, whole ai workflow pipeline can now be nixos.

redrove

Been running this on a few Asus GX10 machines with k3s on top, it’s been great. I’m running the new deepseek.

Thank you for your work!

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ronef

Huge plus to anyone interested in the space to check out what Graham built here!

If anyone is also interested on Nix/CUDA/Capital Markets/Flox, we recently did another case study in the space - https://flox.dev/blog/deploying-hardened-flox-nvidia-cuda-st...

nixie-tubes

This has been amazingly helpful for managing my DGX Spark! Thank you for all your time and effort into this project!

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thenobsta

This is incredible. I have a Jetson lying around and will try to it out on this. I use it to play with vision models, not LLMs, and have been wanting a better way to manage the machine.

haunter

Thanks for sharing, saving this for when I get a DGX Spark