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GM partners with Silicon Valley chipmaker Nvidia on AI, self-driving
GM partners with Silicon Valley chipmaker Nvidia on AI, self-driving

USA Today

time25-03-2025

  • Automotive
  • USA Today

GM partners with Silicon Valley chipmaker Nvidia on AI, self-driving

GM partners with Silicon Valley chipmaker Nvidia on AI, self-driving Show Caption Hide Caption General Motors: History, innovation, and legacy Learn about the rich history and notable innovations of General Motors, from its founding in 1908 to its leadership in electric and autonomous vehicle technology. General Motors is expanding its partnership with Nvidia to incorporate AI technology in its manufacturing plants and vehicles. GM also plans to use Nvidia's Drive AGX hardware in its advanced driver-assistance systems to speed up the development of autonomous vehicle technologies. General Motors is partnering with Silicon Valley tech firm Nvidia on artificial intelligence and accelerated cloud-to-car computation, the companies announced Tuesday at Nvidia's annual GTC conference in San Jose, California. GM already uses Nvidia's chips to train artificial intelligence models and is now expanding the partnership to use computing chips to train robotics platforms for precision welding and material handling and transport. The goal is to free up GM's workforce in the plant to focus on carmaking, GM CEO Mary Barra said in a statement. General Motors sales: GM car buyers most loyal in 2024; Ford wins pickup and SUV categories 'GM has enjoyed a longstanding partnership with Nvidia, leveraging its (graphics processing units) across our operations,' Barra said. '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.' One project the expanded partnership will enable is producing 'digital twins' of real assembly lines to improve automotive assembly plant design and operations and reduce downtime on the line, GM also said. The chipmaker's annual GTC conference is the largest artificial intelligence conference in the world, featuring about 2,000 speakers and 400 exhibits that focus on the latest developments in AI. The topics at this year's event include agentic AI — advanced artificial intelligence systems like chatbots designed to act without direct human intervention — robotics and accelerated computing. In addition to other business uses, GM plans to install Nvidia's Drive AGX hardware in upcoming advanced driver-assistance systems. The chips deliver up to 1,000 trillion operations per second of high-performance computation, GM said, which can speed the development and deployment of autonomous vehicle technologies. The partnership announcement comes on the heels of industry leaders calling on President Donald Trump's administration to accelerate self-driving vehicle deployment. Jackie Charniga covers General Motors for the Free Press. Reach her at jcharniga@

GM's Partnership with Nvidia Could Change Driving Forever
GM's Partnership with Nvidia Could Change Driving Forever

Yahoo

time24-03-2025

  • Automotive
  • Yahoo

GM's Partnership with Nvidia Could Change Driving Forever

General Motors is doubling down on artificial intelligence and automation by teaming up with Nvidia to develop its next generation of vehicles, factories, and robots. This collaboration marks a strategic shift for GM following the collapse of its Cruise robotaxi division last year. Instead of going solo, the automaker is tapping into Nvidia's expertise in AI and accelerated computing to build more advanced driver assistance systems (ADAS) and other autonomous technologies. At the core of this partnership is Nvidia's Drive AGX system-on-a-chip (SoC), which will be integrated into future GM vehicles. These high-performance chips will enable Level 2 and above ADAS features, which can handle lane-keeping, adaptive cruise control, and other driver assistance capabilities. While GM has not specified which AGX chip it will use, Nvidia's offerings include the AGX Orin (capable of 254 trillion operations per second) and the more advanced AGX Thor (delivering up to 1,000 trillion operations per second). Self-driving technology requires immense processing power to analyze data from cameras, radar, and sensors in real-time. Nvidia's AI chips are designed to handle these complex tasks, running neural networks that help vehicles detect objects, plan routes, and make driving decisions with minimal human intervention. GM's renewed focus on AI-powered driving comes after the company shut down its Cruise robotaxi operations in late 2024. The closure followed a high-profile accident that led to regulatory scrutiny and public skepticism. However, GM's interest in automation remains strong, just with a more measured approach. Instead of launching fully autonomous vehicles in the near future, GM appears to be focusing on enhancing its ADAS capabilities — systems that require driver supervision but can handle many driving tasks independently. Currently, the automaker's Super Cruise hands-free system has over 360,000 vehicles on the road, and its popularity suggests that consumers are still interested in advanced driving assistance, even if full autonomy is not yet viable. Despite the hype surrounding autonomous vehicles, the industry has yet to deliver a fully self-driving car for the mass market. Waymo, a subsidiary of Google-parent Alphabet, is the only company operating robotaxis at scale in the U.S. Meanwhile, Tesla has announced plans to launch its own robotaxi service in Austin by June, though CEO Elon Musk's ambitious autonomy timelines have historically been overly optimistic. By partnering with Nvidia, GM gains access to cutting-edge AI and computing power without having to build the technology from scratch. Nvidia already works with leading automakers like Toyota, Mercedes-Benz, Volvo and several Chinese brands, positioning itself as a dominant player in the self-driving space. While GM's partnership with Nvidia signals a commitment to automation, it remains unclear how quickly consumers will see the benefits. The company has not specified whether it will use this technology for consumer vehicles or future robotaxi services. Given its past struggles with Cruise, though, GM may prioritize improving ADAS in its current lineup before making another attempt at full autonomy. For now, the race to develop self-driving cars is still wide open. But with Nvidia's AI expertise in its corner, GM has a stronger shot at staying competitive in the evolving landscape of automated driving.

Nvidia and GM are partnering to build self-driving cars
Nvidia and GM are partnering to build self-driving cars

Yahoo

time18-03-2025

  • Automotive
  • Yahoo

Nvidia and GM are partnering to build self-driving cars

General Motors (GM) will rely on Nvidia's (NVDA) artificial intelligence expertise to build its next generation of cars. Nvidia CEO Jensen Huang announced the partnership at the company's annual GTC conference in San Jose, California on Tuesday. 'I'm super excited to announce that GM has selected Nvidia to partner with them to build their future self-driving car fleet,' Huang said. GM will use Nvidia's Drive AGX platform, an in-vehicle computer that delivers 'up to 1,000 trillion operations per second of high performance computer,' and includes hardware and software to develop autonomous driving functions as well as immersive in-cabin experiences, according to the press release. The automotive giant will build its next-generation vehicles on the platform, which Nvidia says will speed the development and deployment of safe autonomous vehicles at scale. GM has already been investing in Nvidia graphics processing units for AI model training. As of Tuesday's announcement, the two companies will expand their partnership to work together to build custom systems to train AI manufacturing models. That also includes optimizing GM's automotive plant design and operations. To do so, GM will use the Nvidia Omniverse platform to create digital twins of their assembly lines, which will allow for virtual vehicle testing and production simulations. Nvidia will also help GM train robotics platforms already in use for operations, such as precision welding and material handling and transport. '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,' GM chair and CEO Mary Barra said in a press release. 'By merging technology with human ingenuity, we unlock new levels of innovation in vehicle manufacturing and beyond.' GM became the first automaker to offer hands-free driving with the introduction of its Super Cruise advanced driver assistance system in 2017. While the hands-free cars are not completely self-driving cars since the driver might be required to take control if needed, they are a significant step in that direction. Still, the automaker has faced a bumpy road in the world of autonomous driving. In December, the company's robotaxi service, Cruise, was forced to shut down operations. The decision came on the heels of an external probe into the company for misleading regulators about a 2023 incident in which one of the company's robotaxis in San Francisco hit a pedestrian. Regardless, the company is optimistic about its path toward delivering safe autonomous vehicles for personal use. 'The work we're doing with companies like Nvidia adds agility to our already highly sophisticated vehicle design, engineering, and manufacturing processes,' GM said in the press release. 'By further integrating physical and industrial AI applications (including digital twins, simulation, and robotics) we continue to optimize manufacturing, accelerate virtual testing, and ultimately build smarter, more connected vehicles for our customers.' For the latest news, Facebook, Twitter and Instagram.

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