Jetson is a brand of embedded computing devices produced by NVIDIA, a technology company that specializes in graphics processing units (GPUs) and artificial intelligence (AI) computing. The Jetson platform is designed for edge computing, which means running AI and other processing tasks on devices that are close to the data source, rather than sending the data to a remote server. Jetson devices are commonly used in robotics, drones, autonomous vehicles, and other AI applications that require high-performance computing in a small form factor.
There are several Jetson devices available from NVIDIA, including the Jetson Nano, Jetson Xavier NX, Jetson AGX Xavier, and Jetson TX2. Each device has different specifications and capabilities, but they all share the same architecture based on NVIDIA's CUDA technology, which allows for efficient parallel processing of data.
The Jetson platform also includes software tools and libraries that enable developers to build and deploy AI applications on Jetson devices. These tools include the JetPack SDK, which includes CUDA and TensorRT libraries, as well as support for popular deep learning frameworks like TensorFlow, PyTorch, and MXNet. The Jetson platform also includes NVIDIA's DeepStream SDK, which provides real-time video analytics for applications like smart cities, retail, and transportation. Jetson is an AI computing platform designed by NVIDIA for embedded applications, such as robotics, drones, and edge computing devices. Jetson is a small and energy-efficient system-on-module (SoM) that provides high-performance computing power and advanced AI capabilities.
The Jetson platform includes a range of products, including the Jetson Nano, Jetson Xavier NX, Jetson AGX Xavier, and Jetson TX2. These modules vary in performance, power consumption, and features, but they all provide powerful AI computing capabilities in a small form factor. The Jetson platform is designed to enable developers to create AI applications for edge devices, where real-time processing of sensor data is essential. The platform includes a range of software tools and frameworks, including the NVIDIA CUDA parallel computing platform, the TensorRT deep learning inference engine, and the NVIDIA JetPack SDK, which provides a range of APIs and tools for developing and testing AI applications.
The Jetson platform also includes a range of connectivity options, such as Ethernet, Wi-Fi, and Bluetooth, as well as support for various sensors and cameras, making it a versatile platform for a wide range of embedded applications. Overall, the Jetson platform provides a powerful and flexible computing platform for embedded AI applications, enabling developers to create intelligent and responsive edge devices that can operate in real-time and in resource-constrained environments.