For an autonomous vehicle project requiring real-time processing of high-definition video feeds in an embedded system, the NVIDIA Jetson AGX Xavier is the optimal solution. Jetson AGX Xavier is a compact, power-efficient platform designed for edge AI, delivering up to 32 TOPS of AI performance for tasks like object detection and sensor fusion. It supports NVIDIA's CUDA, TensorRT, and DeepStream SDKs, enabling efficient deployment of deep learning models in real-time applications like autonomous driving.
Option A (NVIDIA Mellanox) focuses on high-speed networking, not embedded AI. Option B (NVIDIA Clara) targets healthcare applications, such as medical imaging. Option D (NVIDIA BlueField) is a DPU for data center networking and storage, not embedded systems. NVIDIA's official documentation on Jetson platforms confirms its suitability for automotive edge computing.