GM Partners With Nvidia To Automate Vehicles

The deal comes as traditional automakers continue to grapple with the high costs and complexity of commercializing autonomous vehicle (AV) technology. With self-driving robotaxi programs proving difficult to scale profitably, companies like GM are shifting focus to AI-driven automation in manufacturing and driver-assist features for personal vehicles.

The automaker will purchase Nvidia chips to enhance future ADAS capabilities, including Super Cruise and other upcoming systems. The automaker has projected $2 billion in annual revenue within five years from its subscription-based Super Cruise service, which is free for the first three years before transitioning to a paid model ($25 per month or $250 annually).

GM recently announced its subsidiary, Cruise, would halt progress on autonomous robotaxi technology, and instead it would be absorbed into the GM ecosystem and refocused on amplifying self-driving capabilities in consumer vehicles. The Nvidia tie-up is the missing context from the announcement in February. GM previously relied on Nvidia chips for its robotaxi division but had begun developing custom in-house chips before shutting down the self-driving business last year.

Beyond vehicle applications, GM and Nvidia will collaborate on AI-driven factory planning, leveraging Nvidia’s computing platforms to optimize manufacturing workflow and robotics. GM has previously used Nvidia’s platforms for AI model training, including vehicle simulation and validation.

According to Dave Richardson, GM's senior VP of software & services engineering, the automaker will use Nvidia technology to "create digital twins of assembly lines, enabling virtual testing and production simulations to reduce downtime." The company also plans to apply AI to robotics platforms for precision welding and material handling to improve manufacturing efficiency.

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