General Motors and NVIDIA are teaming up to develop advanced vehicles, factories and robots. The collaboration focuses on using AI, simulation and accelerated computing. As part of the collaboration, the companies will create bespoke AI systems using NVIDIA accelerated compute platforms. These will include NVIDIA Omniverse with NVIDIA Cosmos to train AI manufacturing models that optimize GM’s factory planning and robotics.
GM will use NVIDIA DRIVE AGX as the in-vehicle hardware for advanced driver-assistance systems in future vehicles, along with enhanced safety driving experiences for in-cabin users.Through the use of the NVIDIA Omniverse Platform, GM will create digital twins of its assembly lines for virtual testing and production simulations to minimize downtime.
The initiative will seek to train robotics platforms used for operations such as handling and transporting materials along with welding to boost manufacturing efficiency and safety. GM will build next-generation vehicles utilizing the NVIDIA DRIVE AGX platform, based on the NVIDIA Blackwell architecture and running the safety-certified NVIDIA DriveOS operating system. With up to 1,000 trillion operations per second of high-performance compute, this in-vehicle computer can enhance the speed of development and deployment of safe AVs at scale.
“GM has enjoyed a longstanding partnership with NVIDIA, leveraging its GPUs across our operations,” said Mary Barra, chair and CEO of General Motors. “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. By merging technology with human ingenuity, we unlock new levels of innovation in vehicle manufacturing and beyond.”
“The era of physical AI is here, and together with GM, we’re transforming transportation, from vehicles to the factories where they’re made,” said Jensen Huang, founder and CEO of NVIDIA. “We are thrilled to partner with GM to build AI systems tailored to their vision, craft and know-how.”