Nvidia, GM announces a transaction for AI, factories and vehicles next generation

General Motors and Nvidia They agreed with strategic cooperation, which includes a carmaker, using several artificial intelligence products and services from the technological giant for their next generation vehicles, advanced systems and driver fight factories.

Companies on Tuesday announced that new initiatives include creating custom artificial intelligence systems using Nvidia Compute platforms, including “Omniverse with Cosmos”, to optimize the GM factory planning and robotics.

Auto Detroit also said he would use ‘Nvidia Drive AGX“For” equipment in a car for future advanced systems to help drivers and reinforced safety crop. “

GM refused to disclose the costs of new Nvidia tools. The technology company is trying to diversify its automotive business, which significantly included a significant job at the data center and graphic processors.

“The Era of Physical II here, and together with the GM, we transform the transportation from the vehicles to the factories where they are made,” said Jensen Huang, founder and Nvidia CEO. “We are delighted with a partner with GM to create AI Systems, taking into account their vision, craft and know-how.”

GM uses NVIDIA graphical processing blocks or graphic processors to train AI models in various fields of their business, including modeling and check. Companies said the new business is expanding to car equipment, automotive design and operations.

The carmaker also conducted NVIDIA amnvers to at least 2022. Some of the GM testing were in the development of “digital twin” or replicas of their new design center and processes to assist in the development of a virtual vehicle. It also acted as the only digital environment for employees and employees, according to Video last year With the participation of GM for the GTC Nvidia Developer Conference in 2023.

Nvidia suggests that it will conclude a transaction with the GM MID-ALAST for Omniverse, reports the internal company by email viewing CNBC. At the time, two GM sources indicated that the automaker was not sure that NVIDIA software and graphic processors cost high costs compared to other companies.

It was not immediately clear that she made a transaction for GM. But from now on both companies survived Competition from China and uncertain regulatory changes such as tariffs. GM reserves are expelled by approximately 8% over 2025, while Nvidia is shutting down about 12% this year.

“AI not only optimizes production processes and accelerates virtual testing, but also helps us build smarter vehicles, expanding our workforce’s capabilities to focus on skill,” GM CEO Mary Bar Said in the issue of Nvidia. “By combining technology with human ingenuity, we unlock new levels of innovation in car production and abroad.”

Companies have announced new initiatives in connection with Nvidia’s Conference GTC AI This week in California.

Nvidia describes Omniverse as a platform for “development and deployment physically based on industrial digital applications”. This is, in fact, connecting a physical environment with digital or software, to optimize processes using a “digital twin” physical setting, such as a GM or factory design program.

Users Omnivrse Nvidia included BMW, Amazon Robotics and samsung, Rev LebredianVice -President of Nvidia on Omniverse and Modeling Technology, said a year ago during a media briefing. He said the company had licensed a comprehensive $ 4,500 per graphic processor per year.

It is unclear how much GPU GM will be needed. But given the number of robotics, sensors and other systems needed to manage the modern assembly plant, it will probably be quite a bit.

More than 20 other automakers used NVIDIA equipment on the chip “at the central computing units of their reasonable vehicles, including Mercedes Benz, Volvo, Audi, Volkswagen and Byd, according to the Jeffries session in November 2023.

In recent years, Nvidia has watched as the demand for its graphic processors used for everything: from bitcoin mining to conclusion and learning AI.