Published: Wed, October 11, 2017
Economy | By Shawn Conner

NVIDIA AI platform promises fully autonomous taxis by 2018: Is it possible?

NVIDIA AI platform promises fully autonomous taxis by 2018: Is it possible?

The company goes as far as saying vehicles built around Pegasus' technology could eschew steering wheels, pedals, or mirrors, thereby offering increased flexibility to automotive designers. This marks a substantial improvement over its old Drive PX 2 board (that is now shipping with Tesla models) and results in a net performance improvement of nearly 10x. Capable of handling over 320 trillion operations per second, the Pegasus is reportedly 10 times as powerful as the Drive PX 2 that preceded it. Plus, automakers will be able to create new types of vehicles that resemble offices or living rooms on wheels, Huang said.

The third generation of NVIDIA's Drive PX automotive line, code-named Pegasus, are chips the size of vehicle license plates with datacenter-class processing power.

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Nvidia says that these features will enable Pegasus to efficiently handle the massive volumes of data that fully autonomous auto will be expected to process.

All of which means when a self-driving taxi cab finally rolls up at your door, it could well be powered by an Nvidia Drive PX Pegasus, or one of its successors.

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Huang said the chip has a massive amount of processing power to enable the vehicles to operate without human help. Nevertheless, NVIDIA automotive partners can expect to see the system to be available to them in 2018. NVIDIA said that many of its 25 current Pegasus partners are using the tech to create Robotaxis, including Deutsche Post DHL.

NVIDIA's (NASDAQ: NVDA) invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics and revolutionized parallel computing. From concept to reality The development brings the era of self-driving cars a step closer to reality.

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We string many words together around here describing the gaming performance of Nvidia's desktop and mobile graphics silicon, as well as the ever-expanding applications of the company's chips in the context of data center machine learning and artificial intelligence. 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. 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. Features, pricing, availability and specifications are subject to change without notice.

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