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An AI operations team investigates unexpectedly slow distributed training. GPU utilization averages only 55%, while storage, CPU, and InfiniBand monitoring all indicate normal performance. DCGM reports no hardware faults, but profiling shows GPUs frequently waiting during synchronization phases. Which area should the engineers investigate first?
Correct Answer: A
When GPU utilization drops primarily during synchronization despite healthy hardware and storage performance, inefficient collective communication is a likely cause. NCCL configuration-- including transport selection, topology detection, and network optimization--should be examined first. Storage firmware, CPU thermals, and MIG configuration are less likely to produce synchronization-specific delays in this scenario.