NVIDIA Jetson Nano Development Kit.
Basic introduction,Jetson AGX Xavier series:
NVIDIA ® Jetson ™ The performance and energy efficiency provided by the system can improve the running speed of autonomous machine software.
Each system is a complete modular system (SOM) with CPU, GPU, PMIC, DRAM and flash memory.
Jetson Nano Component Kits is extensible. Select the SOM for the application, that is, it can build a custom system based on it to meet the application requirements.
The Jetson module can support a large number of applications requiring various performance levels and prices, such as AI network video recorder (NVR), automatic optical inspection (AOI) in the field of high-precision manufacturing, and autonomous mobile robot (AMR).jetson related components
Product portfolio:
Jetson nano - a low-cost AI computer with performance and energy efficiency, can run modern AI workloads, run multiple neural networks in parallel, and process data from multiple high-definition sensors at the same time.
Jetson TX2 - the Jetson TX2 embedded module for edge device AI applications now has three versions: Jetson TX2 (8GB), Jetson tx2i and Jetson TX2 4GB.
Jetson AgX Xavier - the computer has six computer motherboards, which are used to process sensor data and run autonomous machine software, and can provide the performance and energy efficiency required by fully autonomous machines.
These three generations of Jetson solutions are supported by the same software stack, allowing the company to carry out one development and deploy anywhere.
Jetson Xavier NX - a compact module that provides accelerated AI computing with performance up to 21 tops for edges. It can run multiple modern neural networks in parallel to process data from multiple high-resolution sensors, so as to meet the needs of a complete AI system. Jetson Xavier NX is a production ready product that supports all popular AI frameworks.
Jetson TX1 - the first generation Jetson module designed for machine learning and edge device AI, which is currently used in many on-board systems. However, the new design makes use of the advantages of Jetson TX2 4GB. It is a pin and cost compatible module, and the performance is improved twice.
Jetson TK1 - the first mobile supercomputer for embedded systems. The platform is built around NVIDIA Tegra K1 SOC and adopts NVIDIA Kepler GPU. It can provide a full-featured NVIDIA CUDA platform to enable developers to quickly develop and deploy computing intensive systems for computer vision, robotics, medicine and other fields.
NVIDIA JETSON Development boards is supported by the jetpack SDK. Jetpack provides libraries for deep learning, computer vision, accelerated computing and multimedia, and supports drivers for various sensors. NVIDIA also provides jetpack with a large number of developer tools that can speed up the development process, and provides detailed information about application and system power and performance, which helps developers quickly optimize and adjust code.
Related applications
On September 26, 2017, Huang Renxun, founder and CEO of NVIDIA, said at the GTC conference that NVIDIA would work with JD to introduce artificial intelligence into the field of logistics and distribution by using intelligent machines driven by NVIDIA Jetson supercomputer modules.NVIDIA Jetson TX2 Series Jetson SDK Components
