GM has extended its collaboration with Nvidia to develop self-driving cars and enhance vehicle manufacturing through simulation and accelerated computing. This announcement was made at GTC 2025 by Nvidia CEO Jensen Huang.
Collaboration on AI systems and vehicles
The companies will create custom AI systems utilizing NVIDIA’s accelerated compute platforms, including Nvidia Omniverse and Nvidia Cosmos. This partnership aims to optimize GM’s factory planning and robotics by training AI manufacturing models. GM will incorporate Nvidia Drive AGX for in-vehicle hardware aimed at future advanced driver-assistance systems and enhanced safety features in cabins.
During his keynote, Huang highlighted Nvidia’s commitment to safety for self-driving cars, noting that Nvidia’s seven million lines of code for these vehicles have been certified as safe. Mary Barra, chair and CEO of General Motors, stated, “AI not only optimizes manufacturing processes and accelerates virtual testing but also helps us build smarter vehicles while empowering our workforce to focus on craftsmanship.”
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Huang mentioned, “The era of physical AI is here, and together with GM, we’re transforming transportation, from vehicles to the factories where they’re made.” The renewal of this partnership indicates a significant focus on creating AI systems tailored to GM’s unique vision and craftsmanship.
GM has been leveraging Nvidia GPU platforms for training AI models across various operational domains, and this renewed collaboration will include transforming automotive plant design and operations. GM plans to employ the NVIDIA Omniverse platform to build digital twins of assembly lines, enabling virtual testing and production simulations to minimize downtime.
This initiative will also involve training existing robotics platforms for tasks such as material handling and precision welding, enhancing overall manufacturing safety and efficiency. Furthermore, GM intends to develop next-generation vehicles based on Nvidia Drive AGX, which utilizes Nvidia’s Blackwell architecture and operates on the safety-certified Nvidia DriveOS. This in-vehicle computing solution will provide up to 1,000 trillion operations per second, facilitating the rapid development and deployment of safe autonomous vehicles.
Featured image credit: GM
