github-trending

Hey HN, I built GPU Hot, a self-hosted, real-time GPU monitoring dashboard for NVIDIA GPUs. One Docker command, no config, sub-second updates.

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

Live demo: https://psalias2006.github.io/gpu-hot/demo.html

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

What it monitors: Utilization, temperature, memory, power draw, fan speed, clock speeds, PCIe info, P-State, throttle status, encoder/decoder sessions, active processes plus host CPU and RAM. Everything streams over WebSocket and renders in real-time charts.

Multi-node support: Same image scales from a single machine to a cluster. Run it on each GPU server, then point a hub instance at them one dashboard for all your GPUs, no extra infrastructure needed:

docker run -d -p 1312:1312 -e GPU_HOT_MODE=hub -e NODE_URLS=http://server1:1312,http://server2:1312 ghcr.io/psalias2006/gpu-hot:latest

Stack: FastAPI + NVML (nvidia-ml-py) on the backend, vanilla JS + Chart.js on the frontend. MIT licensed. Happy to hear feedback — especially from anyone running larger GPU clusters.

thats a solid solution, but you have to configure prometheus/grafana etc, but yes grafana rocks

check also netdata amazing project

True nvtop is super useful but sometimes I want to be able to take a quick look from the browser

Thanks a lot!! yes I have to check the names

nvitop actually is a super cool project

nothing super special to be honest. It's just a quick way for me to take a look at a couple of GPU boxes from the browser. Sometimes I check it from the ipad too

i mean i dont have to ssh over my local gpu server every time i want to have a quick look on the gpus

Hi everyone, I just built a GPU dashboard to check the utilization on NVIDIA cards directly in your browser. It also works with multiple GPUs. The idea is to have real-time metrics from a remote GPU server instead of running nvidia-smi. Let me know if you try it out!