NVIDIA Exam NCA-AIIO Topic 2 Question 7 Discussion

NVIDIA TensorRT (A) is the best choice for deploying deep learning models in this scenario. TensorRT is a high-performance inference library that optimizes trained models for NVIDIA GPUs, delivering high throughput and low latency---crucial for processing medical imaging data in real time. It supports features like layer fusion, precision calibration (e.g., FP16, INT8), and dynamic tensor memory management, ensuring scalability and efficient GPU utilization in an on-premises data center.

Docker(B) is a containerization platform, useful for deployment but not a software stack for optimizing AI workloads directly.

Apache MXNet(C) is a deep learning framework for training and inference, but it lacks TensorRT's GPU-specific optimizations and deployment focus.

NVIDIA Nsight Systems(D) is a profiling tool for performance analysis, not a deployment solution.

TensorRT's optimization for medical imaging inference aligns with NVIDIA's healthcare AI solutions (A).