Hey Product Hunt 👋 I’m the founder of AluminatiAI. Over the past year, I kept hearing the same thing from ML engineers: their GPU bills are massive, but no one actually knows which jobs or teams are responsible for the energy usage. When multiple models share the same GPUs, power attribution becomes messy fast. So I started building AluminatiAI. AluminatiAI maps GPU power consumption to specific AI jobs, models, and teams in real time, giving engineers a clear view of where their compute energy is going and how to optimize it. The goal is simple: make AI infrastructure energy transparent, measurable, and controllable. Right now we're focused on making the first experience extremely simple: pip install aluminatiai aluminatiai start Within minutes you can see GPU power usage tied directly to running workloads. If you run ML infrastructure, I’d genuinely love your feedback. What’s the hardest part about understanding the true cost of your AI workloads today?

AluminatiAi

See exactly where your AI compute power and money goes.

See exactly where your AI compute power and money goes.