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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. On May 18, a Volvo XC90 SUV equipped with Uber's autonomous vehicle system struck and killed a pedestrian who was crossing the road. "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. (NVDA) announced on Tuesday that it will suspend its self-driving auto tests around the world.

During this morning's opening keynote to a packed audience of developers, journalists and other industry professionals, Huang announced The new NVIDIA DRIVE Constellation, a cloud-based system simulator for autonomous driving using photorealistic simulation.

Nvidia is best known for providing technology for other companies in sectors ranging from bitcoin mining to self-driving cars, but it also has its own fleet of self-driving cars, used for research and development purposes.

"This tragedy is exactly why we've committed ourselves to perfecting this life-saving technology". News of Nvidia's self-driving auto testing suspension was first reported by Reuters. "Our global fleet of manually driven data collection vehicles continue to operate", said the Nvidia spokesperson in a statement.

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The simulation server is powered by NVIDIA GPUs, each one generating a stream of simulated sensor data, which then feeds into the DRIVE Pegasus for processing. 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.

"Deploying production self-driving cars requires a solution for testing and validating on billions of driving miles to achieve the safety and reliability needed for customers", said Rob Csongor, vice president and general manager of Automotive at NVIDIA.

The second server houses the Nvidia DRIVE Pegasus AI, which will process the gathered data as if it's coming from sensors in a self-driving auto on the road.

Testing may not involve putting self-driving cars on public streets, with all the safety issues that entails, but virtual environments aren't real ones, no matter how authentic the simulations seem.

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