Comment by c7b
1 day ago
This. Do consider local LLMs, but set aside a dedicated machine for it. Connect via VPN or reverse proxy. If it's not a Mac them I'd also put a server distro on it. No need for a desktop environment, save your RAM.
1 day ago
This. Do consider local LLMs, but set aside a dedicated machine for it. Connect via VPN or reverse proxy. If it's not a Mac them I'd also put a server distro on it. No need for a desktop environment, save your RAM.
I have a Linux box with two 3090s and it's been great for running Qwen3.6 27b. I lowered the power on each card down to 250w, and then built a small ducting/fan system to vent the waste heat outside. The machine is pretty much silent, and I'm still getting 110 tokens per second out of it for coding tasks.
https://github.com/tedivm/qwen36-27b-docker
How useful is the second 3090 in this setup? I run the 5-bit quantized model on a single 3090. Does the second 3090 allow you to use the full precision model instead or a less aggressive quantization by splitting the layers? What about running the 35B model instead?
But is Qwen3.6 27B actually worth this investment? If I had to guess you still use SOTA for architectural/planning work?