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NVIDIA Jetson is a family of embedded computing platforms designed for AI and accelerated computing at the edge.
Unlike conventional embedded boards used mainly for basic control or data processing, Jetson platforms are designed to handle more demanding workloads, including computer vision, deep learning inference, image recognition, and robotics perception.
A typical NVIDIA Jetson-based system combines several important components:
GPU acceleration: Supports parallel processing for AI inference and graphics workloads.
CPU processing: Handles operating system operations, application logic, and general computing tasks.
AI acceleration: Helps execute neural network workloads efficiently.
Memory and storage: Provide resources for operating systems, AI models, and application data.
Peripheral connectivity: Connects cameras, sensors, displays, networking modules, and external controllers.
The NVIDIA Jetson ecosystem also provides software resources for developers working with AI models, robotics frameworks, and computer vision applications.
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