PECM Issue 28 2017 | Page 128

Meet Jetson, the Platform for AI at the Edge NVIDIA Jetson with GPU-accelerated parallel processing is the world’s leading embedded AI computing platform. The Jetson portfolio of devices, featuring the new NVIDIA Jetson TX2, delivers more performance and features for Artificial Intelligence at the edge. Devices at the edge, from drones to intelligent cameras, need on-board AI to process complex data without relying on network connectivity. AI at the Edge is the future of industry, transforming processes in manufacturing, industrial inspection, agriculture, general robotics, security, and AI cities. JETSON MODULES These are AI supercomputers the size of a credit card that come loaded with incredible performance. They also feature NVIDIA Jetpack, a complete SDK that includes the BSP, libraries for deep learning, computer vision, GPU computing, multimedia processing, and more to accelerate your software development. Jetson modules are supported by the Jetson developer site, which includes documentation, tutorials, and an ecosystem of partners and developers. JETSON DEVELOPER KITS These are full-featured development platforms for AI computing. They’re ideal for applications requiring high computational performance in a low-power envelope and designed to get you up and running quickly. Both the CONTACT US Phone Number: +33 (0)5 56 13 75 75 Email: [email protected] Website: www.pny.eu 128 PECM Issue 28 Jetson TX2 and TX1 dev kits come pre-flashed with a Linux environment, include support for many common APIs, and are supported by NVIDIAs complete development tool chain. DEEP LEARNING The NVIDIA Jetson platform taps into the power of deep learning to enable groundbreaking applications. • Real-time intelligent video analytics (IVA) systems are powering smarter, safer AI cities. • Drones can now perform complex analysis on the edge for faster, more accurate response. • Autonomous robotic systems can train and collaborate with other robots and people to boost efficiency. • Businesses can build more efficient and predictable supply chains and logistics. • Makers and developers have powerful new tools for exploring the future of AI computing.