Nvidia Drive AGX platform on-board autonomous vehicle fleet

November 08, 2018 // By Julien Happich
Self-driving vehicle technology company Optimus made public that it is integrating the Nvidia Drive AGX Xavier computing platform into its autonomous vehicle fleet. Capable of delivering 30 trillion operations per second utilizing new deep learning and computer vision accelerators, the Nvidia Drive AGX platform will deliver unprecedented computational performance and safety to Optimus Ride’s self-driving vehicles.

“Building on Nvidia Drive ensures our vehicles are equipped with the highest performance and most efficient processing power available,” said Optimus Ride CEO and co-founder Ryan Chin in a company statement. “With the introduction of Nvidia Drive AGX Xavier, our vehicles will be able to adapt and respond to their environments faster than ever before, comprehending what’s happening around them in real time. With this level of insight and responsiveness, we’ll be able to introduce fully autonomous services in our deployment regions by the end of the year.”

Based on this computing platform, Optimus Ride will build its first fully driverless (Level 4) fleet service for geo-fenced deployments and scale vehicle intelligence to deploy globally in the AV marketplace.

Nvidia is an investor in Optimus Ride and supports its goal of deploying self-driving vehicles in geo-fenced areas such as planned communities, campuses and self-driving zones in cities in order to solve the first-and last-mile problem.

The Drive AGX Xavier platform will be used in all Optimus Ride vehicles currently deployed in both Boston’s Seaport District and the Union Point Smart City development in Weymouth, Massachusetts. The technology will also be incorporated into additional Optimus Ride vehicles at new sites to be announced later this year.

Optimus Ride -  www.optimusride.com


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