Chip designer Nvidia has been an integral part of the recent AI renaissance, providing the processors that power much of the field's research and development. At Computex 2018, it unveiled two new products: Nvidia Isaac, a new developer platform, and the Jetson Xavier, an AI computer, both built to power autonomous robots. Nvidia CEO Jensen Huang said Isaac and Jetson Xavier were designed to capture the next stage of AI innovation as it moves from software running in the cloud to robots that navigate the real world. "AI, in combination with sensors and actuators, will be the brain of a new generation of autonomous machines," said Huang. "Someday, there will be billions of intelligent machines in manufacturing, home delivery, warehouse logistics and much more."
Nvidia has a new generation of its Jetson embedded computing platform for devices at the edge of a network, including things like traffic cameras, manufacturing robotics, smart sensors and more. The Jetson TX2 has twice the performance of its predecessor, the TX1, or it can also redirect efficiency to power savings, using less than half the power consumption of the original to achieve the same processing abilities. The TX2 uses a Pascal-based GPU, as well as two 64-bit Nvidia quad-core ARM chips, with 8GB of RAM on board and 32GB of fast flash storage. It also features built-in 802.11ac Wi-Fi networking, Bluetooth connectivity and 1GB Ethernet for wired connections.
NVIDIA just announced the Jetson TX2 embedded AI supercomputer, based on the latest NVIDIA Pascal microarchitecture. It promises to offer twice the performance of the previous-generation Jetson TX1, in the same package. In this tech report, we will share with you the full details of the new Pascal-based NVIDIA Jetson TX2! Artificial intelligence is the new frontier in GPU compute technology. Whether they are used to power training or inference engines, AI research has benefited greatly from the massive amounts of compute power in modern GPUs. The market is led by NVIDIA with their Tesla accelerators that run on their proprietary CUDA platform.
Robotic Assistance Devices (RAD), an innovator in artificial intelligence and robotics and master distributor for SMP Robotics Systems announced it is advancing its complete line of autonomous robotic guards with the NVIDIA Jetson embedded computing platform. Using NVIDIA Jetson, an embedded AI supercomputer ideal for intelligent machines, RAD robotics can achieve higher levels of autonomy, while adding advanced people and vehicle detection on the moving robot. The new RAD product line-up offers global security teams situational awareness tools to deliver unprecedented deployment flexibility and operational productivity. Using the Jetson platform's high-performance, power-efficient supercomputing for deep learning and computer vision, RAD autonomous robotic systems can be more predictive, accurate, productive and easily reconfigured for a variety of tasks. RAD will demonstrate new Jetson-powered vision capabilities on its autonomous robotic systems at the ISC West Conference and Expo, being held April 5-7, at the Sands Expo Center in Las Vegas.
Machine learning is coming to the masses, and those hordes of DIY drones and robots are about to get a whole lot smarter. On Monday at Nvidia's GTC conference, the company plans to reveal the $99 Jetson Nano Developer Kit. The kit is an expansion of the company's "Jetson" embedded graphics platform, and it aims to infuse your wildest maker projects with AI that the Raspberry Pi could only dream of. It'll be available immediately online, through distributors, and at GTC itself. The Jetson Nano Developer Kit is a standalone version of the new Jetson Nano AI computer also announced today.