Show HN: UATC – A Closed-Loop Controller to Prevent GPU OOM
Category: library
Tags: gpu-memory-management, llm-fine-tuning, control-theory, edge-deployment, pytorch
Score: 7.5/10 (Innovation: 8, Technical: 9, Documentation: 7, Utility: 6)
UATC is a closed-loop controller for preventing out-of-memory crashes during LLM fine-tuning on resource-constrained GPUs, combining Kalman filtering, PID control, Smith prediction, and dynamic data pruning. Its innovative application of industrial control theory to neural network training, with empirical validation on a T4 GPU, makes it a compelling solution for edge deployment.
Target audience: machine learning engineers, edge AI developers, deep learning researchers
Repository: https://github.com/sajjaddoda72-design/UATC · Python · NOASSERTION
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