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.
graham33 47 minutes ago [-]
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.
Loeffelmann 58 minutes ago [-]
I also love how with the right system prompt they can pull in tooling for what they currently need via a nix shell
colordrops 1 hours ago [-]
I've one-shotted custom distributions built with Nix using AI. It's crazy how well AI and Nix fit together.
redrove 2 hours ago [-]
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!
pixelesque 2 hours ago [-]
What quant are you using, and what tps are you getting with K3?
redrove 1 hours ago [-]
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.
This has been amazingly helpful for managing my DGX Spark! Thank you for all your time and effort into this project!
graham33 3 hours ago [-]
Good to hear, thanks!
thenobsta 1 hours ago [-]
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 1 hours ago [-]
Thanks for sharing, saving this for when I get a DGX Spark
hamza7159 1 hours ago [-]
[dead]
Rendered at 20:20:31 GMT+0000 (Coordinated Universal Time) with Vercel.
If you've ever been put off by the difficulty of the language, it's worth checking it out again with AI assistance.
Thank you for your work!
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.
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...