NVIDIA® Jetson™ brings accelerated AI performance to the Edge in a power-efficient and compact form factor. These Jetson modules open the door for you to develop and deploy innovative products across all industries.
NVIDIA® Jetson™ TX2 series modules give an exceptional speed and power-efficiency in an embedded AI computing device. The Jetson™ TX2 NX delivers the next step in AI performance for entry-level embedded and edge products. It provides up to 2.5X the performance of Jetson Nano, and shares form-factor and pin compatibility with Jetson Nano and Jetson Xavier™ NX.
This small module packs hardware accelerators for the entire AI pipeline, and NVIDIA JetPack™ SDK provides the tools you need to use them for your application. Custom AI network development is easy with pre-trained AI models from NVIDIA NGC™ and the NVIDIA Transfer Learning Toolkit, and containerized deployments make updates for your product flexible and seamless.
- Ease of development and speed of deployment—plus a unique combination of form-factor,
- Performance, and power advantage—make Jetson TX2 NX the ideal mass-market AI product platform.
NVIDIA® Jetson™ TX2 series
The extended Jetson TX2 family of embedded modules provides up to 2.5X the performance of Jetson Nano in as little as 7.5 W. Jetson TX2 NX offers pin and form-factor compatibility with Jetson Nano, while Jetson TX2, TX2 4GB, and TX2i all share the original Jetson TX2 form-factor. The rugged Jetson TX2i is ideal for settings including industrial robots and medical equipment.
With Jetson TX2, you can now run large, deep neural networks for higher accuracy on edge devices. At just 7.5 watts, it delivers 25X more energy efficiency than a state-of-the-art desktop-class CPU. This makes it ideal for real-time processing in applications where bandwidth and latency can be an issue. These include factory robots, commercial drones, enterprise collaboration devices, intelligent cameras for smart cities.
Reference Link: https://www.nvidia.com/en-in/autonomous-machines/embedded-systems/jetson-tx2/