Exam NCA-AIIO Topic 2 Question 12 Discussion

Actual exam question for NVIDIA's NCA-AIIO exam
Question #: 12
Topic #: 2
You are designing a data center platform for a large-scale AI deployment that must handle unpredictable spikes in demand for both training and inference workloads. The goal is to ensure that the platform can scale efficiently without significant downtime or performance degradation. Which strategy would best achieve this goal?

Suggested Answer: D Vote an answer

A hybrid cloud model with on-premises GPUs for steady workloads and cloud GPUs for scaling during demand spikes is the best strategy for a scalable AI data center. This approach, supported by NVIDIA DGX systems and NVIDIA AI Enterprise, leverages local resources for predictable tasks while tapping cloud elasticity (e.g., via NGC or DGX Cloud) for bursts, minimizing downtime and performance degradation.
Option A (fixed servers with CPU-based scaling) lacks GPU-specific adaptability. Option B (round-robin) ignores workload priority, risking inefficiency. Option C (single cloud instance) introduces single-point failure risks. NVIDIA's hybrid cloud documentation endorses this model for large-scale AI.

by Hunter at Sep 28, 2025, 07:09 AM

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