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.
Come learn from experts how advances in AI and accelerated computing can profoundly impact your industry—from HPC and manufacturing to healthcare, robotics, and beyond. Join us online March 20-23.
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.
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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 span
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
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The luxury EV maker uses the power of NVIDIA generative AI for configurators, marketing leaps, and more.
Image courtesy of MediaTek
This powerful collaboration will deliver connected services, generative AI-powered user experiences, and enhanced safety to redefine how people interact with their cars.
Image courtesy of WPP
WPP and NVIDIA have collaborated to develop a powerful new content engine. It taps into the power of NVIDIA AI and Omniverse to let creative teams produce high-quality content faster, more efficiently, and at scale.
Image Courtesy of Mercedes-Benz
Mercedes-Benz is upleveling its digital ecosystem for the production MO360 using NVIDIA Omniverse. The platform is ideal for developing Universal Scene Description (OpenUSD) applications to design, collaborate, plan, and operate manufacturing and assembly facilities.
Watch NVIDIA CEO Jensen Huang share what’s next in the evolution of AI and its impact across every industry and the world.
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Learn more about how BMW Group is adopting NVIDIA Omniverse in the official virtual opening on the automaker's new electric vehicle plant.
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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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