NCP-AII Exam Dumps | An AI training cluster with NVIDIA GPUs experiences prolonged data loading times during checkpoint reloading,

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Question 77/86

An AI training cluster with NVIDIA GPUs experiences prolonged data loading times during checkpoint reloading, causing GPUs to idle frequently, CPU utilization during data transfers remains high. Which solution most effectively optimizes storage-to-GPU throughput while reducing CPU overhead?

A. Implement GPUDirect Storage to enable direct data transfers.

B. Migrate datasets to SATA SSDs with RAID 0 for higher sequential read speeds.

C. Increase batch sizes to reduce the frequency of storage access.

D. Add more GPUs to the cluster to parallelize data loading tasks.

Correct Answer: A

GPUDirect Storage enables data to move more directly between storage and GPU memory, bypassing much of the CPU-mediated data path. This reduces CPU overhead during checkpoint reloads and improves storage-to-GPU throughput, helping keep GPUs fed instead of idle.

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