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Exam NCA-AIIO Topic 1 Question 15 Discussion

Actual exam question for NVIDIA's NCA-AIIO exam
Question #: 15
Topic #: 1
In your AI infrastructure, several GPUs have recently failed during intensive training sessions. To proactively prevent such failures, which GPU metric should you monitor most closely?

Suggested Answer: A Vote an answer

GPU Temperature (A) should be monitored most closely to prevent failures during intensive training.
Overheating is a primary cause of GPU hardware failure, especially under sustained high workloads like deep learning. Excessive temperatures can degrade components or trigger thermal shutdowns. NVIDIA's System Management Interface (nvidia-smi) tracks temperature, with thresholds (e.g., 85-90°C for many GPUs) indicating risk. Proactive cooling adjustments or workload throttling can prevent damage.
* Power Consumption(B) is related but less direct-high power can increase heat, but temperature is the failure trigger.
* Frame Buffer Utilization(C) reflects memory use, not physical failure risk.
* GPU Driver Version(D) affects functionality, not hardware health.
NVIDIA recommends temperature monitoring for reliability (A).

by Kennedy at Oct 03, 2025, 12:13 AM

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