Autonomous

Optimus Ride integrates the NVIDIA 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 platform will deliver unprecedented computational performance and safety to Optimus Ride’s self-driving vehicles.

Optimus Ride, a self-driving vehicle technology company, has announced 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 platform promises to deliver unprecedented computational performance and safety to Optimus Ride’s self-driving vehicles.
With the NVIDIA DRIVE AGX Xavier platform, Optimus Ride can:
• Build its first fully driverless (Level 4) fleet service for geofenced deployments
• 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 geofenced 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 develops self-driving vehicle algorithms, software, hardware, and system integration for Mobility on Demand (MoD) solutions. The company’s self-driving vehicles seem to be ideal for industrial and office parks, campuses, mixed-use private developments and other geofenced areas.

Source: Press Release

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