Optimus Ride
NVIDIA DRIVE AGX Xavier Computing Platform for autonomous vehicles. Credit: Optimus Ride.

Optimus Ride’s autonomous vehicle fleet is to use Nvidia’s DRIVE AGX Xavier computing platform as part of a deal signed between the companies.

The platform is capable of performing 30 trillion operations a second using new deep learning and computer vision accelerators.

Optimus Ride CEO and co-founder Ryan Chin said: “Building on Nvidia DRIVE ensures our vehicles are equipped with the highest performance and most efficient processing power available.

“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.”

“Building on Nvidia DRIVE ensures our vehicles are equipped with the highest performance and most efficient processing power available.”

Using DRIVE AGX Xavier platform, Optimus Ride can build its first fully driverless fleet service for geofenced deployments and expand vehicle intelligence to deploy globally in the AV marketplace.

Nvidia automotive business development vice-president Rishi Dhall said: “Optimus Ride’s adoption of the scalable NVIDIA DRIVE AGX platform gives them the computational horsepower and sophisticated AI software stack essential for safe self-driving systems.”

The DRIVE AGX Xavier platform will be installed in all Optimus Ride vehicles currently deployed in Boston’s Seaport District and Union Point Smart City development in Weymouth, Massachusetts, US.

The platform will also be integrated with additional Optimus Ride vehicles at new sites to be announced later this year.