Exam NCA-AIIO Topic 1 Question 16 Discussion

Actual exam question for NVIDIA's NCA-AIIO exam
Question #: 16
Topic #: 1

You are managing an AI data center platform that runs a mix of compute-intensive training jobs and low- latency inference tasks. Recently, the system has been experiencing unexpected slowdowns during inference tasks, even though there are sufficient GPU resources available. What is the most likely cause of this issue, and how can it be resolved?

A. The inference jobs are running at the same priority level as the training jobs, causing contention for resources. B. The GPUs are overheating, leading to thermal throttling during inference. C. The inference tasks are not optimized for the GPU architecture, leading to inefficient use of resources. D. The training jobs are consuming too much network bandwidth, leaving insufficient bandwidth for inference data transfer.

Suggested Answer: D Vote an answer

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.

by Joshua at Nov 08, 2025, 05:40 PM

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