Deploying the AI model on NVIDIA DGX A100 systems in a centralized data center with NVIDIA Clara is the best approach for an AI-driven diagnostic system in healthcare. The DGX A100provides high- performance GPU computing for training and inference on large medical image datasets, while NVIDIA Clara offers a healthcare-specific AI platform with pre-trained models, privacy-preserving tools (e.g., federated learning), and scalability features. A centralized data center ensures compliance with privacy regulations (e.g., HIPAA) via secure data handling and supports future scaling as more hospitals join.
Generic CPU servers with TensorFlow (A) lack the GPU acceleration needed for fast, large-scale image analysis. Quadro RTX GPUs (B) are for visualization, not enterprise-scale AI diagnostics. Jetson Nano (C) is for edge inference, not centralized, scalable diagnostic systems. NVIDIA's "Clara Documentation" and "AI Infrastructure for Enterprise" validate this approach for healthcare AI.