Exam NCA-AIIO Topic 1 Question 48 Discussion

Actual exam question for NVIDIA's NCA-AIIO exam
Question #: 48
Topic #: 1
Your company is planning to deploy a range of AI workloads, including training a large convolutional neural network (CNN) for image classification, running real-time video analytics, and performing batch processing of sensor data. What type of infrastructure should be prioritized to support these diverse AI workloads effectively?

Suggested Answer: D Vote an answer

Diverse AI workloads-training CNNs (compute-heavy), real-time video analytics (latency-sensitive), and batch sensor processing (data-intensive)-require flexible, scalable infrastructure. A hybrid cloud infrastructure, combining on-premise NVIDIA GPU servers (e.g., DGX) with cloud resources (e.g., DGX Cloud), provides the best of both: on-premise control for sensitive data or latency-critical tasks and cloud scalability for burst compute or storage needs. NVIDIA's hybrid solutions support this versatility across workload types.
On-premise alone (Option A) lacks scalability. CPU-only servers (Option B) can't handle GPU-accelerated AI efficiently. Serverless cloud (Option C) suits lightweight tasks, not heavy AI workloads. Hybrid cloud is NVIDIA's strategic fit for diverse AI.

by Freda at Nov 06, 2025, 10:00 PM

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