Why AI Clusters Stall Despite Idle GPUs

AI clusters often underperform because GPUs sit idle waiting for data from slow storage, overloaded CPUs, or network bottlenecks. Common causes include insufficient data loader workers, shared filesystem contention, and small batch sizes that amplify communication overhead. Fixing these pipeline issues can dramatically improve GPU utilization without hardware upgrades.