Scalable AI Platform for Autonomous Driving


Autonomous vehicles will transform the way we live, work, and play, creating safer and more efficient roads. To realize these revolutionary benefits, the car of the future will require a massive amount of computational horsepower. Tapping into decades-long experience in AI, NVIDIA DRIVE hardware and software solutions deliver industry-leading performance to help automakers, truck makers, tier 1 suppliers, and startups make autonomous driving a reality.

DRIVE AutoPilot

DRIVE AutoPilot offers an industry-leading driver assistance experience, handling challenges outside the vehicle, as well as tasks inside the car. It is the world’s first commercially available Level 2+ automated driving system, integrating the high-performance NVIDIA XavierTM SoC and DRIVE Software to let manufacturers bring sophisticated driver assistance features, as well as intelligent cockpit and visualization capabilities to passenger cars and commercial trucks, with the start of production in 2020.


NVIDIA DRIVE AGX is a scalable, open autonomous vehicle computing platform that serves as the brain for autonomous vehicles. The only hardware platform of its kind, NVIDIA DRIVE AGX delivers high-performance, energy-efficient computing for functionally safe AI-powered self-driving.


To augment and, eventually, replace the human driver, NVIDIA DRIVE software enables key self-driving functionalities such as sensor fusion and perception. The open, full-stack solution features libraries, toolkits, frameworks, source packages, and compilers for vehicle manufacturers and suppliers to develop automated and autonomous vehicle applications.


Photorealistic simulation is a safe, scalable solution for testing and validating a self-driving platform before it hits the road. NVIDIA DRIVE Constellation is a data center solution that integrates powerful GPUs and DRIVE AGX Pegasus. Advanced visualization software running on GPUs simulate cameras, radar, and lidar as inputs to DRIVE AGX Pegasus, which processes the data as if it were actually driving on the road. This scalable system is capable of generating billions of miles of diverse autonomous vehicle testing scenarios to validate hardware- and software-in-the-loop prior to deployment.

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