GPU Availability Monitor

One page shows which GPU is free across all your machines

Problem

Labs and small teams often have several GPU machines but no scheduler. Users must SSH into each one and run nvidia-smi just to find a free card before starting a job. It is repetitive, wastes time, and often ends in waiting on someone else's process. Someone built a CLI and a web page for this, but only for their own environment—there is no general product.

Solution

A lightweight monitoring service: install a small agent on each machine, report GPU model, utilization, memory, running processes and user to a central dashboard. The dashboard highlights idle cards, offers one-click SSH command copy, and can notify via email or Slack when a card frees up. It only does visibility, not full scheduling.

Users

University labs, small AI teams, render studios, small companies without K8s scheduling

MVP

Cross-platform agent script; central dashboard with per-machine GPU usage; idle-card highlight and one-click SSH copy; idle alerts to email/Slack; one-page deployment doc.

Revenue

Per monitored machine subscription, first 3 free; annual self-hosted buyout for lab budgets.

Why now

GPUs remain scarce and fragmented, and many small teams have neither the budget for a scheduler nor the appetite to run Kubernetes. Simple observability is a real gap.