I built a lightweight GPU monitoring agent that streams power metrics to a dashboard and converts watts into actual dollar costs — per job, per GPU, per day.

The problem: nvidia-smi shows you watts right now. Your cloud provider shows you a monthly total. But nothing tells you which training job was the expensive one.

AluminatiAi fills that gap. A Python agent (using NVML via pynvml) runs on your GPU machine, samples power every 5 seconds, and uploads metrics to a Next.js + Supabase dashboard. It tracks energy in kWh and converts to dollars at your electricity rate. Tag your runs with job names and you get full per-job cost attribution.

Tech stack: Python + pynvml for the agent, Next.js + Supabase for the platform, Recharts for the dashboard. Open source and free to try (30-day trial, no credit card). Works on any NVIDIA GPU — tested on A100, H100, RTX 4090, and in Google Colab.

GitHub: https://github.com/AgentMulder404/aluminatai-landing Live: https://www.aluminatiai.com