Description: NVIDIA Jetson is a series of embedded computing boards from NVIDIA, designed for artificial intelligence and machine learning applications. These platforms are equipped with powerful graphics processing units (GPUs) and central processing units (CPUs), allowing them to perform complex data processing tasks in real-time. Jetson stands out for its ability to run artificial intelligence models on edge devices, meaning they can process data locally rather than relying on cloud servers. This is especially useful in applications where latency is critical, such as in autonomous vehicles, robotics, and computer vision systems. Jetson boards are compact and energy-efficient, making them ideal for environments where space and energy consumption are limited. Additionally, NVIDIA provides a robust software ecosystem, including development tools and optimized libraries, that facilitate the implementation of AI solutions. With its combination of powerful hardware and accessible software, Jetson has become a popular choice for researchers, developers, and companies looking to integrate artificial intelligence into their products and services.
History: NVIDIA Jetson was first launched in 2014 with the Jetson TK1, which introduced the capability to run artificial intelligence applications on embedded devices. Since then, the series has evolved with multiple versions, including Jetson TX1, TX2, Xavier, and Nano, each improving in processing power and energy efficiency. These advancements have allowed Jetson to be used across various industries, from automotive to robotics and healthcare.
Uses: NVIDIA Jetson boards are used in a wide range of applications, including autonomous vehicles, drones, robotics, surveillance systems, and medical image analysis. Their ability to process data in real-time makes them ideal for tasks that require quick decisions based on visual or sensory data.
Examples: A practical example of using NVIDIA Jetson is in autonomous vehicles, where they are used to process data from sensors and cameras in real-time, allowing the vehicle to make instantaneous decisions about its environment. Another example is in drones, where Jetson enables autonomous navigation and object recognition.
