NVIDIA is transforming autonomous vehicles with innovative technologies for every stage of development. AI models are trained on NVIDIA DGX™ to tackle complex driving scenarios, while NVIDIA Omniverse™ running on NVIDIA OVX™ servers simulates real-world environments to test and validate AV systems. In the vehicle, NVIDIA DRIVE AGX™ enables safe, real-time decision-making on the road.

DRIVE AGX Thor™ SoC is our next-generation centralized car computer, combining advanced driver assistance systems (ADAS) and an AI cockpit on a single safe and secure system. This AV processor uses our latest CPU and GPU advances—including the NVIDIA Blackwell GPU architecture for transformer, LLM, and generative AI capabilities. DRIVE AGX Thor features 8-bit floating point support (FP8 ...

Jan 8, 2024 · CES — NVIDIA today announced that Li Auto, a pioneer in extended-range electric vehicles (EVs), has selected the NVIDIA DRIVE Thor™ centralized car computer to power its next-generation fleets. NVIDIA also announced that EV makers GWM (Great Wall Motor), ZEEKR and Xiaomi have adopted the NVIDIA DRIVE Orin ™ platform to power their intelligent automated-driving systems.

Sep 20, 2022 · Reuters: At CES, tech alliances firm up in the self-driving car wars “NVIDIA this week announced deals to supply the electronic brains for future models from several Chinese electric vehicle startups, and is working with other automakers including Mercedes, Hyundai Motor Co, Volvo and Audi.” – 1/7/22

Jan 10, 2018 · The NVIDIA DRIVE architecture enables automakers to build and deploy self-driving cars and trucks that are functionally safe and can be certified to international safety standards, such as ISO 26262. “Safety is the most important feature of a self-driving car,” said Jensen Huang, founder and chief executive officer of NVIDIA.

In a new automotive application, we have used convolutional neural networks (CNNs) to map the raw pixels from a front-facing camera to the steering commands for a self-driving car. This powerful end-to-end approach means that with minimum training data from humans, the system learns to steer, with or without lane markings, on both local roads and highways.

Safety is the most important aspect of a self-driving vehicle. The functionally safe end-to-end NVIDIA DRIVE™ platform, spanning from the cloud to the car, builds redundancy and diversity into the AV platform–optimizing occupant, pedestrian, and vehicle safety.

We’re working with the best minds in the industry to tackle one of the most complex AI challenges of our time—autonomous driving. Leading vehicle manufacturers, tier 1 suppliers, mapping and simulation companies, software and sensor providers, and startups around the world are developing on the NVIDIA DRIVE® platform to deliver the best solutions for the new world of …

NVIDIA Cosmos™ is a platform comprising state-of-the-art generative world foundation models, advanced tokenizers, guardrails, and an accelerated video processing pipeline built to accelerate the development of physical AI systems such as autonomous vehicles and robots.

self-driving technology that enables safer, less congested roads, and mobility for all. “Safety is the most important aspect of a self-driving vehicle. NVIDIA’s creation of a safe self-driving platform is one of our greatest endeavors, and provides a critical ingredient for automakers to bring autonomous vehicles to market.”