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NVIDIA's <strong>Jetson</strong> platform provides embedded computing boards for <strong>Edge AI</strong>, which are used in a variety of fields, including robots, autonomous vehicles, and industrial automation. Based on NVIDIA's GPU architecture, the Jetson board is designed to run complex AI algorithms and deep learning models locally.

Key features


- <strong>AI Performance</strong>: The Jetson board can run a variety of AI models locally, providing low latency and high efficiency.
- <strong>JetPack SDK</strong>: NVIDIA enables developers to easily develop and deploy AI applications on Jetson boards with JetPack SDK.
- <strong>Hardware lineup</strong>: There are a variety of models including Jetson Orin Nano, Jetson Orin NX, and Jetson Nano, each of which delivers specific AI performance and power consumption characteristics.

Industrial application


- <strong>Robots and autonomous driving</strong>: Jetson boards are used to implement AI-powered visual recognition and control systems in robots and autonomous vehicles.
- <strong>Industrial Automation</strong>: Jetson conducts product inspection, classification and more through AI-powered vision systems in industrial automation.

Future outlook

NVIDIA continues to support the development of Edge AI through the Jetson platform, which will play an important role in increasing the utilization of AI in various industries. Jetson's latest technologies and software updates will help developers build more efficient and powerful AI applications. Source: https://developer.nvidia.com/embedded/develop/roadmap

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