An open-source GPU monitoring dashboard called GPU Hot is drawing attention among developers. The lightweight, self-hosted tool visualizes NVIDIA GPU utilization, temperature and power draw in real time inside a browser, and can be launched with a single Docker command.
July 2026 · Open Source · MIT License
gpu-hot: real-time NVIDIA GPU monitoring in your browser
A lightweight, self-hosted dashboard that deploys as a single Docker container — from one workstation to clusters of 100+ GPUs, streamed live over WebSocket with no infrastructure to build.
1
Docker command to deploy
100+
GPUs coverable via hub mode
1.6k
GitHub stars (July 2026)
v1.9.0
Latest of 24 releases
Polling interval — how fast metrics refresh
Lower is faster. NVML runs 4× tighter than the nvidia-smi fallback.
Polling stops automatically when no client is connected — keeping CPU usage near zero.
Where it fits among monitoring options
gpu-hot
Web UI, self-hosted, multi-node aggregation
Setup: Docker, one command
nvidia-smi
CLI-based basic display
Setup: built in
DCGM + Grafana
Feature-rich data center monitoring
Setup: complex
What it tracks & how it connects
Utilization · temperature · memory · power · fan & clock speed · PCIe · P-State · throttle status · encoder/decoder sessions · per-process PID & memory · CPU/RAM.
WebSocket live stream
REST API /api/gpu-data
Historical charts
Hub mode: node → hub
Well received
Real-time and simple to run
Check GPU health in a browser — no SSH
Practical for remote server operations
Cited limitations
Fallback needed on older / NVML-unsupported GPUs
Process monitoring needs extra flags & privileges
Hub mode may need firewall troubleshooting
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