[r/ML] [D] How to increase/optimize for gpu utilization while doing model training?

Summary

A deep learning practitioner is encountering a discrepancy in GPU utilization metrics while pretraining a Zipformer model: Windows Task Manager reports 100% utilization, but Weights & Biases graphs show inconsistent or lower usage. Despite implementing various optimizations like WebDataset and proper worker numbers, they are seeking advice on identifying and resolving bottlenecks to achieve consistent high GPU utilization.

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