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An administrator is troubleshooting a bottleneck in a deep learning run time and needs consistent data feed rates to GPUs. Which storage metric should be used?
Correct Answer: C
When troubleshooting performance bottlenecks related to feeding data consistently to GPUs during deep learning workloads, the key storage metric to consider is sequential read speed. Deep learning training typically involves streaming large datasets sequentially from storage to GPUs. The sequential read speed measures how fast data can be read in a continuous stream, directly impacting the ability to keep GPUs fed without stalls.