Group ML Trainer

Group ML Trainer turns idle machines into a shared ML compute pool. Submit one job, run tasks in parallel across workers, and track metrics and checkpoints centrally.

id="app-details-left"> Our dashboard Group ML Trainer Group ML Trainer distributes ML training jobs across idle networked machines. Users submit a job from one dashboard, workers train independently on their assigned data shards, and results are aggregated centrally. Spec-Driven Development We used Kiro’s spec-driven workflow as the backbone of our development process. Starting from a rough idea, Kiro guided us through a structured pipeline: requirements → design → task planning This resulted in: 12 formal requirements with acceptance criteria A full design document including: architecture…

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