NVIDIA’s automotive solutions offer the performance and scalability to design, visualize, and simulate the future of driving. Create virtual showrooms and car configurators, develop in-vehicle AI assistants, and validate autonomous driving technology—all with NVIDIA AI, Omniverse™, and accelerated computing platforms.
Learn from automakers who are using GPUs and AI to drive the future, today.
Image Courtesy of BMW Group
BMW Group and NVIDIA are working together to transform the automotive manufacturing lifecycle by building AI-enabled, simulated digital twins of the BMW factory.
Mercedes is partnering with NVIDIA to bring its next generation of vehicles into the autonomous era, delivering intelligent cockpits redesigned for an AI driver.
Image Courtesy of Rimac Rimac Automobili
Try the Rimac Nevera 3D Configurator on NVIDIA Omniverse Cloud and experience a physically accurate, advanced 3D configurator—built on and streamed from NVIDIA Omniverse Cloud.
Starting in 2025, all-new Jaguar and Land Rover vehicles will be built on the NVIDIA DRIVE software-defined platform—from the cloud with NVIDIA data center solutions to the car with NVIDIA DRIVE Orin™.
Electric vehicle pioneer NIO is building next-generation software-defined vehicles with AI technology that spans from the cloud to the car.
NVIDIA’s AI experts approach problems from many angles to find the most optimal solution. Their know-how enabled us to reduce training time from weeks to days, improving accuracy of our models.
– Robert Thiel, Manager, Head of Artificial Intelligence, Continental Automotive
The complex scenarios faced by mass-produced cars and the massive amount of data these fleets generate are the cornerstones of NIO’s autonomous driving capabilities. By using NVIDIA high-performance compute solutions, NIO can accelerate the path to autonomous driving.
– Bai Yuli, Head of AI, NIO
Our collaboration with NVIDIA allows us to develop the future of factory logistics today.
– Jürgen Maidl, Senior Vice President of Logistics, The BMW Group
Leading companies across the transportation industry— including BYD, GAC, Nuro, Plus, WeRide, and XPENG —choose NVIDIA DRIVE™ Thor to power their next-generation vehicles.
Learn how Foretellix, CARLA, and other simulation developers are using Omniverse Cloud APIs to deliver sensor simulation for AV training, testing, and validation. Continental and Stellantis are also using these APIs to build digital twins and tools to unify workflows.
AISpeech, Baidu, Cerence, DeepRoute, SenseAuto, SoundHound, Stack, and Wavye are advancing intelligent AI assistants, driver and passenger monitoring, and more using NVIDIA’s edge-to-cloud technology.
The automotive industry is being transformed by AI and software-defined vehicles. Hear from industry leaders share their perspectives on how AI is shaping the future of transportation.
Leading automakers like Lotus are adopting advanced configurator solutions by key creative partners and developers such as BITONE, Configit, Katana, WPP, and Zerolight.
Featured
Learn more about how BMW Group is adopting NVIDIA Omniverse in the official virtual opening on the automaker's new electric vehicle plant.
GTC On-Demand
Webinars
Waabi CEO and founder Raquel Urtasun joins NVIDIA’s Katie Burke Washabaugh to talk about the role simulation technology plays in developing production-level autonomous vehicles.
Learn how to integrate your sensor of choice for NVIDIA DRIVE.
In this course, you’ll be guided through a working example of a custom plug-in for a sensor using the DriveWorks SDK and implement core elements of the plugin.
Learn how deep learning works through hands-on exercises in computer vision and natural language processing. You’ll train deep learning models from scratch, learning tools and tricks to achieve highly accurate results. You’ll also learn to leverage freely available, state-of-the-art pre-trained models to save time and get your deep learning application up and running quickly.
Learn how to quickly build and deploy production quality conversational AI applications with real-time transcription and natural language processing (NLP) capabilities.
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