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Exam NCA-AIIO Topic 1 Question 11 Discussion

Actual exam question for NVIDIA's NCA-AIIO exam
Question #: 11
Topic #: 1
You are optimizing an AI data center that uses NVIDIA GPUs for energy efficiency. Which of the following practices would most effectively reduce energy consumption while maintaining performance?

Suggested Answer: B Vote an answer

Enabling NVIDIA's Adaptive Power Management features (B) is the most effective practice to reduce energy consumption while maintaining performance. NVIDIA GPUs, such as the A100, support power management capabilities that dynamically adjust power usage based on workload demands. Features like Multi-Instance GPU (MIG) and power capping allow the GPU to scale clock speeds and voltage efficiently, minimizing energy waste during low-utilization periods without sacrificing performance for AI tasks. This is managed via tools like NVIDIA System Management Interface (nvidia-smi).
* Disabling power capping(A) allows GPUs to consume maximum power continuously, increasing energy use unnecessarily.
* Running GPUs at maximum clock speeds(C) boosts performance but significantly raises power consumption, countering efficiency goals.
* Utilizing older GPUs(D) may lower power draw but reduces performance and efficiency due to outdated architecture (e.g., less efficient FLOPS/watt).
NVIDIA's documentation emphasizes Adaptive Power Management for energy-efficient AI data centers (B).

by Hogan at Feb 03, 2026, 10:08 PM

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