# psalias2006/gpu-hot

🔥 Real-time NVIDIA GPU dashboard

Repository: https://github.com/psalias2006/gpu-hot
Canonical: https://ross.abutalabs.com/products/gpu-hot
Homepage: https://psalias2006.github.io/gpu-hot/
Language: JavaScript
License: MIT
License Family: permissive
Topics: charts, cuda, docker, flask, gpu, gpu-monitoring, nvidia, nvidia-smi, python, real-time-monitoring, system-monitoring, dashboard, nvidia-docker, real-time, devops, llm, mlops
Last push: 2026-08-25T07:58:32+00:00

## Health v2 (maintenance only)
Score: 82/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 99, release rhythm 93, longevity 23
- inputs: {"age_days": 332, "days_push": 8, "days_rel": 46, "gap_med": 1, "n_releases_24m": 26}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1621, forks 82 (observed 2026-08-28T04:05:12.419909+00:00)

## What it is
GPU Hot is a lightweight, self-hosted web dashboard for real-time NVIDIA GPU monitoring, deployed via a single Docker command. It polls NVML/nvidia-smi for metrics like utilization, temperature, power, and memory, and can aggregate multiple GPU nodes in hub mode.

## Use cases
- monitor nvidia gpu utilization and temperature in real time
- watch gpu memory and power draw while training llms
- dashboard for gpu metrics across multiple servers
- see which processes are using the gpu
- self-hosted alternative to nvidia-smi with charts
- monitor gpu cluster from a browser without ssh

## When to choose
- you want a zero-setup, docker-based nvidia gpu dashboard
- you need sub-second real-time gpu metrics with historical charts
- you want to aggregate metrics from many gpu nodes in one view

## When to avoid
- you have AMD, Intel, or Apple GPUs (NVIDIA only)
- you need long-term metrics storage, alerting, or Prometheus integration
- you cannot run containers with NVIDIA Container Toolkit access

## Facets
- artifact type: application
- maturity: active
- function: monitoring, data-visualization, charts, self-hosted
- domain: monitoring, gpu-computing, hardware, machine-learning
- platform: self-hosted, python
- tags: nvidia-gpu, nvidia-smi, nvml, dashboard, real-time, flask, multi-node, mlops, devops, docker, web-server, linux

## Member repositories
- psalias2006/gpu-hot (main) score 82

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:12.419909+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T03:49:15.781794+00:00, confidence not recorded.
  - readme: https://github.com/psalias2006/gpu-hot (fetched 2026-08-28T04:05:12.419909+00:00, sha a594da1b6b2d)
  - homepage: https://psalias2006.github.io/gpu-hot/ (fetched 2026-08-29T11:22:10.035191+00:00, sha 7dc6bd3f0753)
- Data as of 2026-08-30T08:39:29.467469+00:00.