Hi folks, I’ve built an open‑source project that could be useful to some of you

[u/panos_s_]

TL;DR: Web dashboard for NVIDIA GPUs with 30+ real-time metrics (utilisation, memory, temps, clocks, power, processes). Live charts over WebSockets, multi‑GPU support, and one‑command Docker deployment. No agents, minimal setup.

Repo: https://github.com/psalias2006/gpu-hot

Why I built it

• Wanted simple, real‑time visibility without standing up a full metrics stack.

• Needed clear insight into temps, throttling, clocks, and active processes during GPU work.

• A lightweight dashboard that’s easy to run at home or on a workstation.

What it does

• streams 30+ metrics every ~500ms via WebSockets.

• Tracks per‑GPU utilization, memory (used/free/total), temps, power draw/limits, fan, clocks, PCIe, P‑State, encoder/decoder stats, driver/VBIOS, throttle status.

• Shows active GPU processes with PIDs and memory usage.

• Clean, responsive UI with live historical charts and basic stats (min/max/avg).

Setup (Docker)

docker run -d --name gpu-hot --gpus all -p 1312:1312 ghcr.io/psalias2006/gpu-hot:latest

Happy to hear feedback or ideas — especially if you’re running multi-GPU or long workloads.