Published: Wed, October 11, 2017
Markets | By Noel Gibbs

Nvidia debuts a new supercomputer to power robotic taxis and delivery trucks

Nvidia debuts a new supercomputer to power robotic taxis and delivery trucks

To be classified as Level 5 under the definition provided by the Society of Automotive Engineers (SAE), a vehicle must rely exclusively on a suite of powerful sensors and cameras to collect and send real-time data to its built-in computer system, enabling the vehicle to navigate completely sans any input from a human driver.

Nvidia Pegasus is based on CUDA GPUs, increasing the practicality of the computing hardware requirements to make sure that self-driving cars run on real roads.

Deutsche Post DHL now has a fleet of 3,400 StreetScooter electric delivery vehicles, which can be equipped with ZF's multiple sensors, including cameras, lidar and radar, that feed into the ZF ProAI system. Boasting 10 times the processing power of its predecessor, it can perform 320 trillion calculations per second, letting it more accurately identify obstacles such as vehicles and people.

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"New types of cars will be invented, resembling offices, living rooms or hotel rooms on wheels", said NVIDIA founder and CEO Jensen Huang.

The company claims the new system, code named Pegasus, will handle Level 5 driverless vehicles - vehicles that can be operated entirely by sensors and computers, with no human interaction. Pegasus could be a huge breakthrough for Nvidia and its 25-plus partners. The chip maker is confident that Pegasus will save energy as well as cost.

Several of the announcements were aimed at self-driving cars, including an AI computer dubbed Drive PX Pegasus to power robotic taxi cabs and a driving simulator called Re-Sim for testing autonomous auto apps against real world conditions.

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Pegasus will be available to NVIDIA's automotive partners in the second half of 2018, the press release said. He also unveiled a partnership with Deutsche Post DHL to use Nvidia nvda systems to power a fleet of electric delivery vans that will be partially self-driven.

Keep Current on NVIDIA Subscribe to the NVIDIA blog, follow us on Facebook, Google+, Twitter, LinkedIn and Instagram, and view NVIDIA videos on YouTube and images on Flickr. Nvidia wants a piece of that market. From concept to reality The development brings the era of self-driving cars a step closer to reality. The Pegasus chip is about the size of a license plate and replaces what is now an "entire trunk full of computing equipment", according to the company. Plus, it must be legal for these vehicles to be used in autonomous mode on public streets, and they will also need to undergo trials. These forward-looking statements are not guarantees of future performance and speak only as of the date hereof, and, except as required by law, NVIDIA disclaims any obligation to update these forward-looking statements to reflect future events or circumstances. Features, pricing, availability and specifications are subject to change without notice.

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