NVIDIA is redefining autonomous vehicles (AV) with its three-computer solution. AI models are trained on NVIDIA DGX™ to tackle complex driving scenarios, while NVIDIA Omniverse™ and Cosmos™ simulate diverse physically-based environments to test and validate AV systems. In the vehicle, NVIDIA DRIVE AGX™ enables safe, real-time decision-making on the road. NVIDIA Halos extends this safety-first approach by providing guardrails across simulation, training, and deployment, setting a new industry-leading standard.
NVIDIA DGX delivers a high-performance AI training compute platform designed to accelerate autonomous vehicle development. Developers can further reduce bottlenecks with NVIDIA Cosmos data curation services to manage the massive datasets necessary for end-to-end training. Combining best-in-class NVIDIA software, infrastructure, and expertise in a unified AI development solution lets AV developers train and scale AV systems more efficiently.
NVIDIA DRIVE AGX Hyperion™ 10 is a reference production computer that streamlines development for autonomous systems. Featuring two NVIDIA DRIVE AGX Thor™ systems-on-a-chip on a single board; the safety-certified DriveOS™ operating system; and a fully qualified multimodal sensor suite that includes 14 high-definition cameras, 9 radars, 1 lidar, and 12 ultrasonics and a microphone array— it delivers the compute performance and redundancy necessary to enable reasoning VLA end-to-end network models required for L4 autonomous driving.
Recent breakthroughs in AI—from foundation and reasoning models to high-fidelity simulation and safety validation—are making level 4 autonomy a reality. NVIDIA’s end-to-end platform forms a rich ecosystem for learning, testing, and deployment, accelerating innovation while keeping safety at the center.
Over 15,000 engineering years invested in AV safety have led to the NVIDIA Halos system for chip-to-deployment AV safety. It combines hardware, software, tools, models, and proven design principles to safeguard end-to-end AV stacks.
Tap into NVIDIA advanced AI models for AV-embedded software and cloud solutions to accelerate real-world deployment and improve efficiency.