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.
Agreed, Claude has helped a lot with this project, and being able to iterate without side effects for system configuration changes is really a game changer for agents.
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.
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.
Agreed, Claude has helped a lot with this project, and being able to iterate without side effects for system configuration changes is really a game changer for agents.
I also love how with the right system prompt they can pull in tooling for what they currently need via a nix shell
I've one-shotted custom distributions built with Nix using AI. It's crazy how well AI and Nix fit together.
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!
What quant are you using, and what tps are you getting with K3?
The FP8 version from DeepSeek themselves [0], around 1800 tps prefill and 45 tokens per second decode.
I’ve been running a custom VLLM image with b12x as well as nvfp4_ds_mla.
I would say it’s quite fantastic in day to day, I use it mostly in Hermes and sometimes for coding.
I have qwen 3.6 27b on an rtx 6000 pro as well so I use that as a workhorse in pi with DS as a reviewer/planner.
[0] https://huggingface.co/deepseek-ai/DeepSeek-V4-Flash-0731
Edit: I think you may have misread my post. k3s is NOT kimi k3, and I did mention I was running deepseek.
Thanks - yeah, sorry, I mis-read that as you using both DS and K3...
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...
This has been amazingly helpful for managing my DGX Spark! Thank you for all your time and effort into this project!
Good to hear, thanks!
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.
Thanks for sharing, saving this for when I get a DGX Spark