GPUJobQueue – Light GPU Task Queue

Simple GPU job queuing and OOM protection for indie developers and small teams

Problem

The user tried training multiple models on a single GPU but OOM spikes kept crashing runs, so they built their own simple scheduler. Many indie AI developers face similar issues; existing cluster schedulers are heavyweight, while simple scripts lack dynamic allocation for AI agents.

Solution

A lightweight GPU job queue that accepts training scripts, auto-queues to avoid OOM, monitors GPU memory, and exposes a simple API for AI agents to dynamically allocate/release GPU resources. Includes a web or CLI dashboard for status and resource usage.

Users

Indie AI developers, academic researchers, small teams, AI agent developers needing dynamic GPU allocation

MVP

Submit training scripts with GPU memory requirements; auto-queue and serialize to avoid OOM; real-time memory monitoring and alerts; Python API for agent calls; simple web dashboard for queue and status

Revenue

Open-core with paid hosted or enterprise edition (multi-node, access control, audit logs) via annual subscription; or donations/sponsorships

Why now

Personal AI training is booming, single-GPU multi-task scenarios are common, existing tools are either too heavy (Kubernetes) or too manual; indie developers can build a lightweight self-hostable solution quickly.