試験NCA-AIIO トピック2 問題40 スレッド

Training jobs consuming excessive network bandwidth, leaving insufficient bandwidth for inference data transfer, is the most likely cause of inference slowdowns despite sufficient GPU resources. In a mixed- workload data center, training often involves large data movements (e.g., via NCCL), starving inference tasks of network resources critical for low-latency performance. Resolving this requires QoS policies or dedicated networking (e.g., InfiniBand). Option A (priority contention) is less likely with ample GPUs. Option B (overheating) would affect all tasks. Option C (optimization) doesn't explain network impact. NVIDIA's multi-workload guides support this diagnosis.