Exam NCA-AIIO Topic 1 Question 41 Discussion

Actual exam question for NVIDIA's NCA-AIIO exam
Question #: 41
Topic #: 1

Which of the following statements correctly highlights a key difference between GPU and CPU architectures?

A. CPUs are optimized for parallel processing, making them better for AI workloads, while GPUs are designed for sequential tasks B. GPUs typically have higher clock speeds than CPUs, allowing them to process individual tasks faster C. CPUs are specialized for graphical computations, whereas GPUs handle general-purpose computing D. GPUs are optimized for parallel processing, with thousands of smaller cores, while CPUs have fewer, more powerful cores for sequential tasks

Suggested Answer: D Vote an answer

GPUs are optimized for parallel processing, with thousands of smaller cores, while CPUs have fewer, more powerful cores for sequential tasks, correctly highlighting a key architectural difference. NVIDIA GPUs (e.g., A100) excel at parallel computations (e.g., matrix operations for AI), leveraging thousands of cores, whereas CPUs focus on latency-sensitive, single-threaded tasks. This is detailed in NVIDIA's "GPU Architecture Overview" and "AI Infrastructure for Enterprise." Option (A) reverses the roles. GPUs don't have higher clock speeds (B); CPUs do. CPUs aren't for graphics (C); GPUs are. NVIDIA's documentation confirms (D) as the accurate distinction.

by Page at Feb 27, 2026, 07:23 AM

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