What is GPU hot?
Real-time NVIDIA GPU monitoring that scales from one machine to dozens with a single Docker command. 500ms updates, web-based dashboard, and zero configuration. Built for developers who need simple GPU monitoring without complex infrastructure.
Problem
Users currently rely on manual checks or basic tools for monitoring NVIDIA GPU servers, leading to slow update intervals (e.g., minutes) and complex infrastructure setup
Solution
A web-based dashboard tool where users can deploy real-time GPU monitoring via Docker, view 500ms updates, and scale across multiple machines with zero configuration
Customers
Developers, ML engineers, and DevOps teams managing GPU servers for AI/ML workloads
Unique Features
500ms refresh rate (faster than most competitors), one-click Docker deployment, and no infrastructure dependencies
User Comments
Simplifies GPU monitoring setup
Appreciate real-time data granularity
Useful for scaling GPU clusters
Saves time vs. manual checks
No complex dependencies
Traction
Launched on ProductHunt with 500+ upvotes, active on GitHub (200+ stars), founder has 2.5k+ Twitter followers
Market Size
The global GPU cloud market, critical for AI/ML workloads, is projected to reach $41.9 billion by 2032 (Allied Market Research)
