Exam NCA-AIIO Topic 1 Question 48 Discussion

Actual exam question for NVIDIA's NCA-AIIO exam
Question #: 48
Topic #: 1
Your AI infrastructure team is managing a deep learning model training pipeline that uses NVIDIA GPUs.
During the model training phase, you observe inconsistent performance, with some GPUs underutilized while others are at full capacity. What is the most effective strategy to optimize GPU utilization across the training cluster?

Suggested Answer: C Vote an answer

Using NVIDIA's Multi-Instance GPU (MIG) feature to partition GPUs is the most effective strategy to optimize utilization across a training cluster with inconsistent performance. MIG, available on NVIDIA A100 GPUs, allows a single GPU to be divided into isolated instances, each assigned to specific workloads, ensuring balanced resource use and preventing underutilization. Option A (mixed precision) improves performance but doesn't address uneven GPU usage. Option B (fewer GPUs) risks reducing throughput without solving the issue. Option D (disabling auto-scaling) limits adaptability, worsening imbalance.
NVIDIA's documentation on MIG highlights its role in optimizing multi-workload clusters, making it ideal for this scenario.

by Priscilla at Oct 17, 2025, 11:25 PM

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