DRIVE Xavier, World’s First Single-Chip Self-Driving Car Processor, Gets Approval from Top Safety Experts

Automotive safety isn’t a box you check. It’s not a feature. Safety is the whole point of autonomous vehicles. And it starts with a new class of computer, a new type of software and a new breed of chips.

Safety is designed into the NVIDIA DRIVE computer for autonomous vehicles from the ground up. Experts architect safety technology into every aspect of our computing system, from the hardware to the software stack. Tools and methods are developed to create software that performs as intended, reliably and with backups. Stringent engineering processes are developed to ensure no corners are cut.

“Safety-first” computer design is equal parts expertise, architecture, design, tools, methods and best practices. Safety needs to be everywhere — permeating our engineering culture.

Top Experts Agree – Xavier Is Architected for Safety

We didn’t stop there. We invited the world’s top automotive safety and reliability company, TÜV SÜD, to perform a safety concept assessment of our new NVIDIA Xavier system-on-chip (SoC). The 150-year-old German firm’s 24,000 employees assess compliance to national and international standards for safety, durability and quality in cars, as well as for factories, buildings, bridges and other infrastructure.

“NVIDIA Xavier is one of the most complex processors we have evaluated,” said Axel Köhnen, Xavier lead assessor at TÜV SÜD RAIL. “Our in-depth technical assessment confirms the Xavier SoC architecture is suitable for use in autonomous driving applications and highlights NVIDIA’s commitment to enable safe autonomous driving.”

Feeds and Speeds Built Around a Single Need: Safety

Let’s walk through what that means.

As the world’s first autonomous driving processor, Xavier is the most complex SoC ever created. Its 9 billion transistors enable Xavier to process vast amounts of data. Its GMSL (gigabit multimedia serial link) high-speed IO connects Xavier to the largest array of lidar, radar and camera sensors of any chip ever built.

Veröffentlichung:
12. Juni 2018

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