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Exam NCA-AIIO Topic 1 Question 48 Discussion

Actual exam question for NVIDIA's NCA-AIIO exam
Question #: 48
Topic #: 1
A healthcare provider is deploying an AI-driven diagnostic system that analyzes medical images to detect diseases. The system must operate with high accuracy and speed to support doctors in real-time. During deployment, it was observed that the system's performance degrades when processing high-resolution images in real-time, leading to delays and occasional misdiagnoses. What should be the primary focus to improve the system's real-time processing capabilities?

Suggested Answer: B Vote an answer

Real-time medical image analysis demands high accuracy and speed, which degrade with high-resolution images due to computational complexity. Optimizing the AI model's architecture for better parallel processing on GPUs-using techniques like pruning, quantization, or TensorRT optimization-reduces latency while maintaining accuracy. NVIDIA GPUs (e.g., A100) and TensorRT are designed to accelerate such workloads, making this the primary focus for improvement in DGX or healthcare-focused deployments.
More memory (Option A) helps with batching but doesn't address processing speed. Switching to CPUs (Option C) slows performance, as they lack GPU parallelism. Lowering resolution (Option D) risks accuracy loss, undermining diagnostics. Model optimization aligns with NVIDIA's real-time AI strategy.

by Susan at Nov 06, 2025, 02:58 PM

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