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NVIDIA DRIVE Full-Stack Autonomous Vehicle Software Rolls Out

thecruisectrlr by thecruisectrlr
October 5, 2025
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NVIDIA DRIVE Full-Stack Autonomous Vehicle Software Rolls Out
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NVIDIA Launches Comprehensive Autonomous Vehicle Software Platform

NVIDIA is introducing a groundbreaking, industry-defining autonomous vehicle (AV) software platform designed to accelerate the large-scale deployment of safe, intelligent transportation innovations for automakers, truck manufacturers, robotaxi companies, and startups worldwide.

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A New Era in Autonomous Vehicles

Announced at NVIDIA GTC Paris at VivaTech, the full-stack NVIDIA DRIVE AV software platform is now in full production. When combined with NVIDIA accelerated compute, this platform provides the automotive industry with a robust foundation for AI-powered mobility, unlocking a multitrillion-dollar global opportunity in autonomous and highly automated vehicles. For consumers, this means safer journeys and enjoyable hands-free driving experiences.

Safety First: A Unified, Full-Stack Software Approach

NVIDIA DRIVE’s modular, flexible approach empowers customers to scale their AV solutions based on their specific needs. The platform’s robust, safety-certified AV software architecture supports real-time sensor fusion and continuous improvement through over-the-air updates. This allows automakers to deploy a subset of advanced driver-assistance features, such as surround perception, automated lane changes, and parking, for level 2++ and level 3 vehicles, with a seamless path to higher levels of automation as technologies and regulations evolve.

A Three-Computer Solution for AV Development

NVIDIA’s full-stack, end-to-end AV software is augmented by a three-computer solution that spans the entire AV development pipeline. This solution includes:

  • NVIDIA DGX systems and GPUs for training AI models and developing AV software
  • The NVIDIA Omniverse and NVIDIA Cosmos platforms running on NVIDIA OVX systems for simulation and synthetic data generation, enabling the testing and validation of autonomous driving scenarios and optimization of smart factory operations
  • The automotive-grade NVIDIA DRIVE AGX in-vehicle computer for processing real-time sensor data for safe, highly automated, and autonomous driving capabilities

Embracing Generative AI and an End-to-End Model Approach

The automotive industry is racing to develop AI-driven systems that improve road safety. NVIDIA DRIVE AV software unifies the functions of perception, prediction, planning, and control using deep learning and foundation models trained on large datasets of human driving behavior. This eliminates the need for predefined rules or traditional modular pipelines, allowing vehicles to learn from vast amounts of real and synthetic driving behavior data to safely navigate complex environments and scenarios with human-like decision-making.

Bolstering End-to-End Safety with NVIDIA Halos

Safety is the most critical component of all AVs. NVIDIA Halos is a comprehensive end-to-end safety system that integrates hardware, software, AI models, and tools to ensure safe AV development and deployment from cloud to car. Halos provides guardrails for AV safety across simulation, training, and deployment, backed by 15,000 engineering years of expertise.

The Future of Transportation, Here Today

With Halos and support for intelligent, adaptive sensors, NVIDIA’s AV stack delivers the tools, compute power, and foundational AI models needed to accelerate safe, intelligent mobility. NVIDIA has worked with the European auto industry for over a dozen years to drive automotive innovation, partnering with leading manufacturers, suppliers, and mobility startups.

Recent Achievements and Future Developments

At GTC Paris, NVIDIA showcased how the transportation industry is using NVIDIA Omniverse and Cosmos for factory planning, vehicle design, and simulation. Additionally, NVIDIA announced its win in the End-to-End Autonomous Driving Grand Challenge at the Computer Vision and Pattern Recognition conference, recognized for creating technologies that allow the development of safer, smarter AVs using real-world and synthetic data.

To learn more, watch the NVIDIA GTC Paris keynote from NVIDIA founder and CEO Jensen Huang at VivaTech, and explore GTC Paris sessions. See notice regarding software product information.

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