Nvidia details Constellation self-driving simulation system

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Huang said the crash highlighted why companies are working to develop autonomous vehicles: reducing auto accidents that harm people and damage property.

The company, which provides technology to Uber Technologies Inc., stopped its self-driving test program on public roads in the aftermath of a March 18 fatal accident involving an Uber vehicle in Tempe, Arizona.

The system allows for testing that would prove impractical with a real vehicle and could ease safety concerns that followed Uber's pedestrian fatality. Nvidia will suspend its autonomous vehicle testing in public roads for a limited time. "It's a reminder of how hard [self-driving car] technology is and that it needs to be approached with extreme caution and the best safety technologies", Nvidia said in a statement.

Alphabet's self-driving auto unit Waymo announced last month that its test vehicles had achieved 5 million self-driven miles since 2009, when the company started the tests.

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And it is almost three times more than the expulsion of 23 Russian diplomats by Great Britain earlier this month. Additional measures aren't off the table, European Commission president Donald Tusk said. "Mr.

Nvidia Corporation (NASDAQ:NVDA) announced that it would be halting its self-driving vehicle tests for a moment in order to ensure the safety of people on the road.

The Nvidia DRIVE platform is now used by over 370 companies developing self-driving technology, including automakers and robotaxi companies and those making self-driving hardware, such as sensors, said Huang.

"This tragedy is exactly why we've committed ourselves to perfecting this life-saving technology. Our global fleet of manually driven data collection vehicles continue to operate", said the Nvidia spokesperson in a statement. The first server powers the Nvidia DRIVE Sim, a software set that emulates a self-driving car's various sensors, including its cameras, lidar and radar. More recently, GPU deep learning ignited modern AI - the next era of computing - with the GPU acting as the brain of computers, robots and self-driving cars that can perceive and understand the world.

"We're able to deploy this in the cloud and scale it up to generate billions of miles that ultimately will be able to showcase and statistically show how ... these self-driving algorithms" perform, Danny Shapiro, Nvidia's senior director, automotive, said in a phone briefing with reporters.

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