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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. NVIDIA is redefining transportation to make it smarter, safer, and more accessible for everyone.
NVIDIA’s DRIVE AGX platform, running the safety-certified DriveOS™, delivers the highest level of compute performance. This centralized computer and software stack enables AI-defined vehicles to process large volumes of camera, radar, and lidar sensor data over the air for safe, real-time driving decisions.
NVIDIA DGX offers automotive companies an AI training platform designed to accelerate autonomous vehicle development. By combining best-in-class NVIDIA software, infrastructure, and expertise in a unified AI development solution, DGX empowers developers to efficiently train and scale autonomous vehicle systems.
NVIDIA OVX and NVIDIA Omniverse Cloud Sensor RTX™ APIs enable high-fidelity, physically based simulation to train, test, and validate AVs. The APIs easily integrate into existing workflows, so developers can simulate and generate detailed sensor data at scale.
NVIDIA platforms are built with safety at their core, prioritizing robust training, simulation, and real-time decision-making to ensure smarter, safer transportation for everyone.
NVIDIA is revolutionizing the industry with cutting-edge autonomous driving solutions. Explore our latest breakthroughs in AV technology with the DRIVE Labs series.
NVIDIA DRIVE AGX is trusted worldwide by leading automakers, robotaxi providers, Tier 1 suppliers, software developers, sensor manufacturers, and innovative startups.
Discover how NVIDIA DRIVE AGX is revolutionizing autonomous driving and shaping the future of safer, smarter mobility.
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NVIDIA’s automotive solutions offer the performance and scalability to design, visualize, develop and simulate the future of driving.
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