Photo by Elishia Jayye on UnsplashGeneral Motors is bringing Nvidia onboard to build AI-powered vehicles and factories. The automaker announced a deal on Tuesday that will integrate Nvidia’s artificial intelligence into its next-generation driver-assistance systems, in-cabin safety features, and factory operations.
GM confirmed that it will use Nvidia Omniverse with Cosmos for factory planning and robotics, while future vehicles will include Nvidia Drive AGX hardware for advanced driver-assistance systems. The financial details of the deal were not disclosed, but Nvidia’s push into the automotive sector is part of its broader strategy to expand beyond GPUs and data centers.
GM expands Nvidia’s role inside its factories and vehicles
GM has relied on Nvidia’s GPUs to train AI models for years, using them for simulation and validation. But the new deal takes things further. Nvidia Omniverse will allow GM to create detailed virtual replicas—digital twins—of its factories, helping engineers optimize production before anything is physically built. The technology connects real-world environments with digital simulations, making manufacturing more efficient.
The automaker had been testing Omniverse since at least 2022. GM used it to design a virtual version of its new design center, allowing employees to collaborate remotely and fine-tune vehicle development in a shared digital workspace.
“The era of physical AI is here, and together with GM, we’re transforming transportation, from vehicles to the factories where they’re made,” Nvidia CEO Jensen Huang said in a statement.
Nvidia’s Omniverse platform is already used by BMW, Amazon Robotics, and Samsung. It costs $4,500 per GPU per year, though it is unclear how many GPUs GM will need to run its factories. Given the scale of modern automotive plants, the demand is expected to be high.
For vehicles, GM will install Nvidia Drive AGX, a system-on-a-chip designed to power driver assistance and in-cabin safety features. More than 20 automakers already use Nvidia’s computing hardware, including Mercedes-Benz, Volvo, Audi, Volkswagen, and BYD.
Nvidia’s AI chips push deeper into automotive industry
GM’s deal with Nvidia was announced during the company’s GTC AI conference in San Jose, California. The event, attended by 25,000 people, showcased how companies like Waymo, Microsoft, and Ford use Nvidia’s AI technology.
Alongside the GM deal, Nvidia unveiled its Blackwell Ultra chip family, which will ship in the second half of 2025, and the Vera Rubin GPU, set for release in 2026. The company’s hardware dominates the AI industry, with its GPUs widely used for everything from crypto mining to large-scale AI model training.
“This last year is where almost the entire world got involved. The computational requirement, the scaling law of AI, is more resilient, and in fact, is hyper-accelerated,” Huang said.
Nvidia’s AI business has grown massively since OpenAI released ChatGPT in late 2022. Demand for AI chips has pushed Nvidia’s revenue up sixfold in just a few years, and the company is shifting to an annual chip release cycle.
After Vera Rubin, the next chip architecture will be Feynman, named after physicist Richard Feynman, and will be available in 2028.
The company also announced updates to its DGX Spark and DGX Station AI computers, which will run massive AI models like Llama and DeepSeek. Nvidia also introduced new networking parts designed to link hundreds or thousands of GPUs, turning them into a unified system for AI training.
GM and Nvidia are betting that AI will be essential to the future of the auto industry. With increased competition from China and unpredictable regulatory changes, AI-powered factories and advanced vehicle technology could be key to staying ahead.
GM’s stock is down by 8% in 2025, while Nvidia’s has dropped 12%, but both companies are doubling down on AI to drive their next phase of growth.
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