GM and Nvidia Forge Expansive Partnership to Revolutionize Automotive AI and Autonomous Driving

GM teams up with Nvidia to bring AI to robots, factories, and self-driving cars

General Motors is turning to Nvidia to help bring AI to the physical world in an expanded collaboration designed to touch every aspect of the automaker's business, including factories, robots, and self-driving cars. Nvidia founder and CEO Jensen Huang, who announced the partnership Tuesday during his keynote at the company's GTC conference in San Jose, said the time for autonomous vehicles has arrived. "We're looking forward to building with GM AI in all three areas," he said on stage. "AI for manufacturing, so they can revolutionize the way they manufacture; AI for enterprise, so they can revolutionize the way they work to design cars and simulate cars, and then also AI for in the car." The deal means Nvidia will provide AI infrastructure -- essentially GPUs -- for GM as well as help the automaker build its own AI, according to Huang. Nvidia has a decades-long relationship with the automotive and autonomous vehicle industry, supplying GPUs to companies like Tesla, Wayve, and Waymo for use in data centers or their vehicles. Nvidia has also developed an autonomous vehicle platform for automakers that includes an operating system called DriveOS to provide real-time AI processing and integration of advanced driving and cockpit features. Toyota announced earlier this year plans to equip next-generation vehicles with automated driving capabilities powered by Nvidia's Drive AGX Orin supercomputer and safety-focused operating system, DriveOS. "We work with the car industry however the car industry would like us to work with them," Huang said during the keynote. "We build all three computers: the training computer, the simulation computer, and the robotics computer (the self-driving car computer) -- all the software stack that sits on top of it, the models and algorithms just as we do with all of the other industries that I've demonstrated." GM plans to work with Nvidia to build custom AI systems using several of the tech giant's products. GM did not disclose the financial value of the deal. GM will use Nvidia Omniverse with Cosmos to train AI manufacturing models to help it improve help it build next-generation factories and robotics. Using Omniverse, GM will be able to build a digital twin of its factories -- and even assembly lines -- to virtually test new production processes without disrupting existing vehicle production. The effort will include training robotics platforms GM is already using for operations such as material handling and transport, and precision welding. The automaker will also use Nvidia Drive AGX for its in-vehicle hardware for future advanced driver-assistance systems and in-cabin enhanced safety driving experiences. The automaker recently stopped funding its commercial robotaxi development business in a pivot that has shifted resources towards its hands-off advanced driver assistance system known as Super Cruise. GM is in the process of absorbing its self-driving car subsidiary Cruise and combining it with its own efforts to develop driver assistance features -- and eventually fully autonomous personal vehicles. GM's relationship with Nvidia isn't new. The Detroit-based automaker has used Nvidia GPUs to train AI models for simulation and validation. The expanded deal now includes using Nvidia AI products to focus on improving automotive plant design and operations.

GM, Gatik, Torc team up with Nvidia to accelerate self-driving

NVIDIA's GTC conference kicked off with a series of announcements highlighting its role in advancing autonomous driving technology. The chipmaker provides automakers and autonomous vehicle companies with a handful of Nvidia-branded tools to help power self-driving cars and create digital twins of factories. On Tuesday, companies including Torc, Gatik, and even General Motors announced plans to use Nvidia products for vehicle production, robotics to automated driving. To avoid any confusion among the slew of brand names Nvidia has bestowed upon its hardware and software tools, here's a quick glossary of terms: On top of all that, Nvidia today unveiled Halos, which it defines as an AI-powered safety system for AVs and future physical AI, such as humanoid robots. Halos brings together quite a few of Nvidia's lineup of automotive hardware and software safety solutions, so think of it as more of an umbrella. Here's a quick roundup of Nvidia's automotive announcements from Day 2 of GTC. General Motors GM announced it has expanded its partnership with Nvidia in a collaboration that touches every aspect of the automakers business, including its factories, robots and self-driving cars. Let's start with the factories. GM said it will use Omniverse with Cosmos to train AI manufacturing models and help it build next-generation factories. Omniverse will allow GM to build a digital twin of its factories to virtually test new production processes without disrupting existing vehicle production, for example. It will also use Omniverse to train robotics platforms for operations like material handling and transport. When it comes to self-driving cars, GM said it will use Nvidia's Drive AGX for its in-vehicle hardware for future advanced driver-assistance systems and in-cabin safety experiences. Gatik Self-driving truck company Gatik, which is backed by Isuzu and Goodyear Ventures, has also joined Nvidia's automotive ecosystem. The Silicon Valley and Toronto-based company, which specializes in autonomous middle-mile logistics via self-driving box trucks, says it will develop and deploy Drive AGX, accelerated by Drive Thor, to serve as the AI brain across its fleet of trucks. Gatik says it's also running its AI models on the DriveOS system for safety. The startup noted that the collaboration will help accelerate the deployment of Level 4 autonomous trucks at scale for the company's customers, which include Walmart, Kroger, and Tyson Foods. Plus Plus, an autonomous trucking software startup, said Tuesday it will use Cosmos world foundation models to accelerate the testing and development of SuperDrive, its autonomous driver. Plus's SuperDrive system is built on Nvidia's Drive AGX platform, according to the company. In a statement, Plus also said that it is pioneering "AV 2.0 technologies, which comprise generative AI, visual language models and other foundational models." As we can see from the glossary above, Nvidia's AGX platform is more suited to ADAS and low-level autonomy. To get that more advanced sensor fusion and on-board compute that's necessary for higher levels of autonomy, usually companies rely on Nvidia's Orin or Thor SoCs. TechCrunch has reached out to Plus to ask for clarification. The startup recently made deals with commercial vehicle manufacturers including Traton Group, IVECO, and Hyundai to integrate SuperDrive into their trucks. Plus, which has testing its technology on public roads in Texas and Sweden, has targeted a 2027 commercial launch. Torc Yet another self-driving truck company, Torc, announced it is working with Nvidia to develop a scalable physical AI compute system for its AVs. Virginia-based Torc, a subsidiary of Daimler Truck AG, will also work with Flex, which builds automotive-grade compute platforms. Torc says it is using a cocktail of Nvidia chip architecture, including Drive AGX, Drive Orin, and DriveOS to support the future deployment of autonomous driving capabilities as it works towards a 2027 commercial launch. While Volvo isn't collaborating with Nvidia to accelerate its automated driving technology, the automaker is relying on Nvidia's Blackwell GPUs to power aerodynamics simulations. Rather than use Nvidia's Omniverse simulator, Volvo is working with Ansys, a software simulation company. Ansys's so-called "Fluent" simulation software, powered by eight Blackwell GPUs, has helped Volvo design its new EX90 electric vehicle in a way that reduces aerodynamic drag and, as a result, improves battery performance. Ansys says its Fluent simulator helped Volvo reduce total simulation run time from 24 hours to 6.5 hours, allowing for multiple design iterations per day, optimized vehicle design, and accelerated time to market.

GM taps Nvidia to boost its embattled self-driving projects

Andrew J. Hawkins is transportation editor with 10+ years of experience who covers EVs, public transportation, and aviation. His work has appeared in The New York Daily News and City & State. At Nvidia's annual GTC conference in San Jose, Calif. today, the chipmaker announced it was teaming up with General Motors to develop next-generation cars, robots, and factories. GM says it will apply several of Nvidia's products to its business, such as the Omniverse 3D graphics platform which will run simulations on virtual assembly lines with an eye on reducing downtime and improving efficiency. The automaker also plans to equip its next-generation vehicles with Nvidia's "AI brain" for advanced driver assistance and autonomous driving. And it will employ the chipmaker's AI training software to make its vehicle assembly line robots better at certain tasks, like precision welding and material handling. GM already uses Nvidia's GPUs to train its AI software for simulation and validation. Today's announcement was about expanding those use cases into improving its manufacturing operations and autonomous vehicles, GM CEO Mary Barra said in a statement. (Barra is joining Nvidia CEO Jensen Huang for a "fireside chat" during the GTC conference today.) "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," Barra said. "By merging technology with human ingenuity, we unlock new levels of innovation in vehicle manufacturing and beyond." GM will adopt Nvidia's in-car software products to build next-gen vehicles with autonomous driving capabilities. That includes the company's Drive AGX system-on-a-chip (SoC), similar to Tesla's Full Self-Driving chip or Intel's Mobileye EyeQ. The SoC runs the "safety-certified" DriveOS operating system, built on the Blackwell GPU architecture, which is capable of delivering 1,000 trillion operations per second (TOPS) of high-performance compute, the company says. Like most automakers, GM has sunk billions of dollars in the development of fully autonomous vehicles -- with mixed results. The company's advanced driver assist feature, Super Cruise, is considered one of the safest and most capable on the market today. But its work to deploy fully autonomous vehicles has been less successful. Last year, GM pulled funding for its Cruise robotaxi company after a number of safety lapses cast doubt on the operation's future. Before it was shuttered, Cruise was exploring developing its own chips to reduce costs for its parent company. The robotaxi startup had been using Nvidia's in-car computers to power its autonomous vehicles, which executives complained were too expensive. GM hopes to improve its self-driving fortunes by selling passenger vehicles with autonomous driving capabilities -- though it hasn't said when or using what technology. In a briefing with reporters, Ali Kani, Nvidia's vice president and general manager of automotive, described the chipmaking company's automotive business as still in its "infancy," with the expectation that it will only bring in $5 billion this year. (Nvidia reported over $130 billion in revenue in 2024 for all its divisions.) Nvidia's chips are in less than 1 percent of the billions of cars on the road today, he added. But the future looks promising. The company is also announcing deals with Tier 1 auto supplier Magna, which helped build Sony's Afeela concept, to use Drive AGX in the company's next-generation advanced driver assist software. "We believe automotive is a trillion dollar opportunity for Nvidia," Kani said.

GM Taps Nvidia for Next-Gen Autonomous Vehicles, Factory Robots

Nvidia CEO Jensen Huang unveils a GM partnership at GTC 2025 (Credit: Michael Kan) GM announced at Nvidia's GTC conference today that it will use Nvidia's Drive AGX chips in its next-generation passenger vehicles, with a focus on autonomous driving. "In the future, we expect to launch personal autonomous vehicles, or PAVs, with the ability to take you wherever you want to go without a human driver," says GM. GM is building a new software platform to power these vehicles, and its development is "well underway." It will power "everything from smaller vehicles like the Chevrolet Equinox to full-scale trucks like the GMC Sierra EV," promising more safety features, personalization, and Level 3 self-driving. GM already offers Super Cruise, a Level 2 self-driving software that requires drivers to keep their eyes on the road. With a Level 3 system, "you should be able to take your eyes off the road under appropriate circumstances," GM says. This will require "a sophisticated electrical architecture with high-performance computing." The Nvidia Drive AGX chips deliver up to 1,000 trillion operations per second of high-performance compute. The company isn't promising any timelines, only noting that this will come "eventually." Other automakers are also developing Level 3 systems, such as Honda and Mercedes. They are not currently street legal in most states. The partnership between GM and Nvidia also extends to factory operations, with custom AI models that aim to optimize manufacturing processes. That includes creating "digital twins of assembly lines" with the NVIDIA Omniverse platform, where GM can conduct virtual testing and train robots for tasks like precision welding. Nvidia chips will also power those robots. That could mean fewer factory jobs, or different kinds of jobs. GM CEO Mary Barra says it will help the company "build smarter vehicles while empowering our workforce to focus on craftsmanship." Also today, Nvidia debuted a new autonomous driving platform called Halos. It's billed as a "comprehensive" system, combining Nvidia's automotive hardware and software, which can help car companies accelerate autonomous vehicle development. It's all part of Nvidia's broader push into its automotive business, which is still in its "infancy," Ali Kani, Nvidia's vice president and general manager of automotive, tells The Verge. The company expects to bring in $5 billion in automotive revenue this year, a small fraction of Nvidia's $130 billion in total revenue reported in 2024. But it's client list is growing and Kani expects it to be a "trillion-dollar" business. Earlier this month, Volvo announced that its 2025 ES90 will run on the Nvidia Drive AGX Orin chip.

GM to use Nvidia AI chips, software to automate vehicles, factories

March 18 (Reuters) - General Motors (GM.N), opens new tab will use artificial intelligence chips and software from Nvidia (NVDA.O), opens new tab to develop autonomous vehicle technology for its vehicles and improve workflow at its factories, the companies said on Tuesday. Traditional automakers have struggled to commercialize autonomous technology that has been more challenging and expensive than expected but has emerged as a way to boost sales and rake in subscription revenue from motorists. The companies plan to work together to build AI systems using Nvidia's platforms to train AI manufacturing models for factory planning. GM also plans to use Nvidia's autonomous tech, opens new tab for future advanced driver-assistance systems. Asked about financial terms, a GM spokesperson said the companies have a strategic collaboration on using AI in manufacturing and GM will buy chips from Nvidia for driver-assistance technology. A slew of automakers and suppliers, including Toyota (7203.T), opens new tab and Hyundai (005380.KS), opens new tab, have partnered this year with Nvidia to develop their autonomous driving capabilities in the face of competition from Tesla (TSLA.O), opens new tab, which uses proprietary technology to run its Full Self-Driving system. GM used Nvidia's chips to power its self-driving Cruise robotaxis. But it started developing custom chips in-house to reduce cost and dependency before it shut down the robotaxi business last year to focus instead on AV technology for personal vehicles. GM has forecast that its Super Cruise driver-assistance technology would earn about $2 billion in total annual revenue within five years. Super Cruise is free for three years, after which customers are offered subscriptions for $25 a month or $250 a year. Other companies that have partnered with Nvidia for their advanced driver-assistance systems include Chinese EV maker BYD, German carmaker Mercedes-Benz (MBGn.DE), opens new tab, and U.S. EV startup Rivian (RIVN.O), opens new tab. GM had previously used Nvidia's platforms for training AI models, including for simulation and validation. Kalea Hall reporting in Detroit and Abhirup Roy reporting in San Francisco; Editing by Rod Nickel Our Standards: The Thomson Reuters Trust Principles., opens new tab Suggested Topics:Artificial IntelligenceADAS, AV & SafetyPartnerships & M&ASoftware-Defined VehicleProducts

Nvidia, GM announce deal for AI, factories and next-gen vehicles

General Motors and Nvidia have agreed to a strategic collaboration that includes the automaker using several products and artificial intelligence services from the tech giant for its next-generation vehicles, advanced driver-assistance systems and factories. The companies on Tuesday announced that the new initiatives include building custom artificial intelligence systems using Nvidia compute platforms, including "Omniverse with Cosmos," for optimizing GM's factory planning and robotics. The Detroit automaker also said it will use "Nvidia Drive AGX" for "in-vehicle hardware for future advanced driver-assistance systems and in-cabin enhanced safety driving experiences." GM declined to disclose a cost for the new tools with Nvidia. The tech company has been attempting to diversify its automotive business, which has notably included substantial work in data centers and GPUs. "The era of physical AI is here, and together with GM, we're transforming transportation, from vehicles to the factories where they're made," Jensen Huang, Nvidia founder and CEO, said in a release. "We are thrilled to partner with GM to build AI systems tailored to their vision, craft and know-how."

NVIDIA goes full throttle on self-driving with Halos, GM partnership

Visual representation of NVIDIA's Halos AV platform in action NVIDIA's GTC conference was dubbed the 'Super Bowl for AI' by CEO Jensen Huang, who took the stage to introduce and announce the company's AI advancements. Among the announcements was a significant collaboration with General Motors (GM) and the unveiling of NVIDIA Halos, a comprehensive safety framework for autonomous vehicles. GM and NVIDIA have solidified their partnership to revolutionize the next generation of vehicles, factories, and robotics through AI, simulation, and accelerated computing.

GM and Nvidia collaborate on AI for self-driving cars and vehicle manufacturing

GM, the largest U.S. automaker, has extended its collaboration with Nvidia to develop self-driving cars and enhance vehicle manufacturing through simulation and accelerated computing. At GTC 2025, Nvidia CEO Jensen Huang announced GM and Nvidia are collaborating on next-generation vehicles, factories and robots using AI, simulation and accelerated computing. The companies will work together to build custom AI systems using NVIDIA accelerated compute platforms, including Nvidia Omniverse with Nvidia Cosmos, to train AI manufacturing models for optimizing GM's factory planning and robotics. GM will also use Nvidia Drive AGX for in-vehicle hardware for future advanced driver-assistance systems and in-cabin enhanced safety driving experiences. In his keynote, Huang said Nvidia is very focused on safety for self-driving cars. He noted that Nvidia's seven million lines of code for such cars have been certified as safe. "GM has enjoyed a longstanding partnership with Nvidia, leveraging its GPUs across our operations," said Mary Barra, chair and CEO of General Motors, in a statement. "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 Huang. "We are thrilled to partner with GM to build AI systems tailored to their vision, craft and know-how." GM has been investing in Nvidia GPU platforms for training AI models across various areas, including simulation and validation. The companies' collaboration now expands to transforming automotive plant design and operations. GM will use the NVIDIA Omniverse platform to create digital twins of assembly lines, allowing for virtual testing and production simulations to reduce downtime. The effort will include training robotics platforms already in use for operations such as material handling and transport, along with precision welding, to increase manufacturing safety and efficiency. GM will also build next-generation vehicles on Nvidia Drive AGX, based on the Nvidia Blackwell architecture, and running the safety-certified Nvidia DriveOS operating system. Delivering up to 1,000 trillion operations per second of high-performance compute, this in-vehicle computer can speed the development and deployment of safe AVs at scale.

GM is teaming with Nvidia to produce fleet of self-driving vehicles

At Nvidia's annual GTC conference, CEO Jensen Huang announced during his keynote session that the company would be partnering with GM to supercharge the latter's autonomous vehicle and manufacturing operations with AI and cutting-edge chips. GM will integrate Nvidia's AI-powered computing systems into its next-gen vehicles, using the chipmaker's Drive AGX platform -- essentially an "AI brain" designed to boost advanced driver assistance features and autonomy, according to The Verge. But it's not just about cars -- Nvidia's Omniverse 3D graphics platform will also help GM streamline its manufacturing processes with digital twins and virtual simulations. This Tweet is currently unavailable. It might be loading or has been removed. "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 CEO Mary Barra said in a statement. The partnership comes at a critical time for GM. The automaker has poured billions into autonomous tech with mixed results -- most notably, the costly setbacks of its Cruise robotaxi division, which faced safety concerns and a major funding pullback. Now, instead of betting on a separate AV fleet, GM is shifting its focus to bringing self-driving capabilities to consumer vehicles. For Nvidia, the deal marks another milestone in its growing push into the auto industry, which Huang sees as a trillion-dollar opportunity by 2028. With partnerships spanning Jaguar, Volvo, and Mercedes-Benz, the AI giant is making it clear: the future of driving runs on its chips.

General Motors and NVIDIA Collaborate on AI for Next-Generation Vehicle Experience and Manufacturing

GTC -- General Motors and NVIDIA today announced they are collaborating on next-generation vehicles, factories and robots using AI, simulation and accelerated computing. The companies will work together to build custom AI systems using NVIDIA accelerated compute platforms, including NVIDIA Omniverse™ with NVIDIA Cosmos™, to train AI manufacturing models for optimizing GM's factory planning and robotics. GM will also use NVIDIA DRIVE AGX™ for in-vehicle hardware for future advanced driver-assistance systems and in-cabin enhanced safety driving experiences. "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." GM has been investing in NVIDIA GPU platforms for training AI models across various areas, including simulation and validation. The companies' collaboration now expands to transforming automotive plant design and operations. GM will use the NVIDIA Omniverse platform to create digital twins of assembly lines, allowing for virtual testing and production simulations to reduce downtime. The effort will include training robotics platforms already in use for operations such as material handling and transport, along with precision welding, to increase manufacturing safety and efficiency. GM will also build next-generation vehicles on NVIDIA DRIVE AGX, based on the NVIDIA Blackwell architecture, and running the safety-certified NVIDIA DriveOS™ operating system. Delivering up to 1,000 trillion operations per second of high-performance compute, this in-vehicle computer can speed the development and deployment of safe AVs at scale. During the NVIDIA GTC global AI conference, which runs through March 21, NVIDIA will host a fireside chat with GM to discuss the companies' extended collaboration and delve into how AI is transforming automotive manufacturing and vehicle software development. Register for the session, which will also be available on demand.

Nvidia and GM are partnering to build self-driving 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."

General Motors And Nvidia Team Up To Build Self-Driving Cars

Like it or not, the development of self-driving cars is going full-swing ahead. After ending its Cruise robotaxi operations last year, General Motors is now planning to develop its next-generation vehicles using Nvidia's AI chips, the two companies announced today. GM will leverage Nvidia's expertise in high-tech chips to build new cars, optimize manufacturing and build robots using "AI and accelerated computing." Nvidia already partners with dozens of global automakers to supply its cutting-edge chips that support advanced driver assistance systems (ADAS) and assisted driving, including several Chinese brands. Now the race is on to procure the latest and greatest chips from the Silicon Valley giant to solve self-driving. Thanks to its AI expertise, Nvidia has become one of the world's most valuable companies, worth nearly $3 trillion. That's far more than Tesla is worth. Self-driving cars (which are not yet available to the public) and ADAS need powerful chips to process data from cameras, radars and sensors, helping the car "see" and react in real time. These chips run AI models that detect objects, plan routes and make active driving decisions. But initial efforts from automakers have been marred by safety investigations and controversies. Nonetheless, Nvidia makes several chips that can fulfill such high processing needs. Instead of going solo, automakers are increasingly leveraging Nvidia's expertise. Future GM vehicles will use Nvidia's Drive AGX system-on-a-chip (SoC) that supports Level 2 and above ADAS. They will also use Nvidia's Drive operation system for in-vehicle screen interfaces. GM didn't mention which AGX chip it will be using, as Nvidia offers several versions, including the AGX Orin, AGX Thor and AGX Hyperion. AGX Orin is capable of 254 trillion operations per second (TOPs). AGX Thor uses Nvidia's latest processors and can deliver 1,000 TOPs, thanks to the Blackwell GPU that's developed using Taiwanese semiconductor manufacturer TSMC's fabrication process. It's unclear what type of self-driving applications -- ride-hailing or consumer use -- GM is aiming for with the Nvidia partnership. The automaker closed its Cruise robotaxi division last year after a major accident led to the service being suspended. But GM said during its Q4 and full year 2024 earnings call in January that a growing number of GM customers were signing up for the Super Cruise advanced driver assistance system. The automaker said some 360,000 GM vehicles with Super Cruise are now on the road. GM sunk billions of dollars in its initial effort to develop self-driving cars, but now is taking a more cautious approach as the technology hasn't really matured. Most consumer applications are eyes-on systems, meaning drivers are required to supervise at all times. Some are hands-off, but still require full driver attention. And except for Google-parent Alphabet's Waymo, there's no active robotaxi service in the U.S operating at scale. Tesla has said it will begin its first robotaxi service in Austin starting June -- something CEO Elon Musk believes can rocket the company's valuation into the trillions. But his autonomy timelines have long been optimistic. Partnering with Nvidia may be a smart move for GM, as the chipmaker is a leader in this space with over a dozen clients already, including BYD, Li Auto, Geely Group, Volvo, Toyota, Mercedes-Benz and many others. Now we'll see how fast the fruits of this partnership gets to the market here in the U.S.

Nvidia, GM announce deal for AI, factories and next-gen vehicles

Nvidia CEO Jensen Huang at a keynote address in San Jose, Calif., on Tuesday.Justin Sullivan / Getty Images General Motors and Nvidia have agreed to a strategic collaboration that includes the automaker using several products and artificial intelligence services from the tech giant for its next-generation vehicles, advanced driver-assistance systems and factories. The companies on Tuesday announced that the new initiatives include building custom artificial intelligence systems using Nvidia compute platforms, including "Omniverse with Cosmos," for optimizing GM's factory planning and robotics. The Detroit automaker also said it will use "Nvidia Drive AGX" for "in-vehicle hardware for future advanced driver-assistance systems and in-cabin enhanced safety driving experiences." GM declined to disclose a cost for the new tools with Nvidia. The tech company has been attempting to diversify its automotive business, which has notably included substantial work in data centers and GPUs. "The era of physical AI is here, and together with GM, we're transforming transportation, from vehicles to the factories where they're made," Jensen Huang, Nvidia founder and CEO, said in a release. "We are thrilled to partner with GM to build AI systems tailored to their vision, craft and know-how." GM has been using Nvidia graphics processing units, or GPUs, for training AI models across various areas of its business, including simulation and validation. The new business expands to in-vehicle hardware, automotive plant design and operations, the companies said. The automaker also had been testing Nvidia's Omniverse since at least 2022. Some of GM's testing was in designing a "digital twin," or replica, of its new design center and processes to assist virtual vehicle development. It also acted as a single digital environment for employees to work and collaborate in, according to a video last year featuring GM for Nvidia's GTC developer conference in 2023. Nvidia anticipated it would strike a deal with GM mid-last year for Omniverse, according to an internal company email viewed by CNBC. At that time, two sources with GM signaled the automaker wasn't sure Nvidia's software and GPUs were worth the high cost compared with other companies. It wasn't immediately clear what sealed the deal for GM. But since that time, both companies have experienced increased competition from China and uncertain regulatory changes such as tariffs. GM's stock is off roughly 8% during in 2025, while Nvidia is off about 12% this year. "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 CEO Mary Barra said in Nvidia's release. "By merging technology with human ingenuity, we unlock new levels of innovation in vehicle manufacturing and beyond." The companies announced the new initiatives in connection with Nvidia's GTC AI conference this week in California. Nvidia describes Omniverse as a platform for "developing and deploying physically based industrial digitalization applications." It's essentially connecting a physical environment with a digital, or software, world to optimize processes using a "digital twin" of a physical environment such as a GM design facility or plant. Users of Nvidia's Omniverse have included BMW, Amazon Robotics and Samsung, Rev Lebaredian, Nvidia vice president of Omniverse and simulation technology, said during a media briefing a year ago. He said the company was licensing Omniverse for $4,500 per GPU, per year. It's unclear how many GPUs GM will need. But given the amount of robotics, sensors and other systems needed to operate a modern assembly plant, it would likely be quite a bit. More than 20 other automakers have used Nvidia's "system on a chip" hardware in the central computing units of their smart vehicles, including Mercedes Benz, Volvo, Audi, Volkswagen and BYD, according to an industry equity research note from Jeffries in November 2023. In recent years, Nvidia has seen soaring demand for its GPUs, which are used for everything from bitcoin mining to AI inference and training.

General Motors Collaborates with NVIDIA for Next-Gen Vehicles

GM will leverage NVIDIA's accelerated computing platforms, including NVIDIA Omniverse with NVIDIA Cosmos, to optimise factory planning and robotics. Additionally, GM will use NVIDIA DRIVE AGX for in-vehicle systems to support advanced driver-assistance systems and enhanced safety features. This system will be capable of performing up to 1,000 trillion operations per second, facilitating the development of safe AVs at scale. The collaboration extends GM's existing use of NVIDIA's GPU platforms for AI model training across various operations. Mary Barra, chair and CEO at GM, noted, "AI not only optimises manufacturing processes and accelerates virtual testing but also helps us build smarter vehicles while empowering our workforce to focus on craftsmanship." The partnership aims to create digital twins of assembly lines using NVIDIA Omniverse, allowing for virtual testing and production simulations to minimise downtime. GM will also train robotics platforms for material handling and precision welding to enhance manufacturing safety and efficiency. "The era of physical AI is here, and with GM, we're transforming transportation, from vehicles to the factories where they're made," Huang said. In addition to this announcement, Huang also mentioned the importance of safety in Autonomous Vehicles (AVs) and launched NVIDIA Halos, a comprehensive safety system for AVs. Halos integrates NVIDIA's automotive hardware and software safety solutions with AI research to ensure safe AV development from cloud to car. Halos operates on three levels: technology, development, and computation. The technology level includes platform, algorithmic, and ecosystem safety. The development level incorporates guardrails for design time, deployment time, and validation time. Key elements of Halos focus on platform, algorithmic, and ecosystem safety. Halos complements existing safety practices and can potentially accelerate standardisation and regulatory compliance.

GM partners with Nvidia to revolutionize self-driving cars

GM has extended its collaboration with Nvidia to develop self-driving cars and enhance vehicle manufacturing through simulation and accelerated computing. This announcement was made at GTC 2025 by Nvidia CEO Jensen Huang. Collaboration on AI systems and vehicles The companies will create custom AI systems utilizing NVIDIA's accelerated compute platforms, including Nvidia Omniverse and Nvidia Cosmos. This partnership aims to optimize GM's factory planning and robotics by training AI manufacturing models. GM will incorporate Nvidia Drive AGX for in-vehicle hardware aimed at future advanced driver-assistance systems and enhanced safety features in cabins. During his keynote, Huang highlighted Nvidia's commitment to safety for self-driving cars, noting that Nvidia's seven million lines of code for these vehicles have been certified as safe. Mary Barra, chair and CEO of General Motors, stated, "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." GR00T N1: Nvidia's next leap in AI-powered robotics Huang mentioned, "The era of physical AI is here, and together with GM, we're transforming transportation, from vehicles to the factories where they're made." The renewal of this partnership indicates a significant focus on creating AI systems tailored to GM's unique vision and craftsmanship. GM has been leveraging Nvidia GPU platforms for training AI models across various operational domains, and this renewed collaboration will include transforming automotive plant design and operations. GM plans to employ the NVIDIA Omniverse platform to build digital twins of assembly lines, enabling virtual testing and production simulations to minimize downtime. This initiative will also involve training existing robotics platforms for tasks such as material handling and precision welding, enhancing overall manufacturing safety and efficiency. Furthermore, GM intends to develop next-generation vehicles based on Nvidia Drive AGX, which utilizes Nvidia's Blackwell architecture and operates on the safety-certified Nvidia DriveOS. This in-vehicle computing solution will provide up to 1,000 trillion operations per second, facilitating the rapid development and deployment of safe autonomous vehicles.

Nvidia Showcases Latest AI Chips, Unveils GM Partnership at GTC Conference

Nvidia (NVDA) offered the latest view of what's to come for the chipmaking giant today, with CEO Jensen Huang showcasing Blackwell Ultra and subsequent generations of AI chips at a company conference. Nvidia's Blackwell Ultra GB300 family of semiconductors will have one-and-a-half times the memory and deliver significantly higher performance than the current Blackwell line, Huang said at the company's GPU Technology Conference. Nvidia expects Blackwell Ultra to launch in the second half of 2025. Today's news sets the stage for Nvidia's next-generation CPU-GPU platform, known as Vera Rubin, scheduled for the second half of 2026, and Rubin Ultra GPUs a year later, Huang said. Blackwell has 68 times the computing power of its Hopper line, he said, while Rubin represents a 900-fold increase. (Vera Rubin is the astronomer who discovered dark matter; a later line, Huang said, will be named for physicist Richard Feynman.) The weeklong GPU Technology Conference represents "the Super Bowl of AI," Huang told the crowd, which Nvidia expected to total 25,000, at San Jose's McEnery Convention Center. The Nvidia CEO came onstage for his keynote address sporting a black leather jacket, a wardrobe twist that has become a kind of personal trademark. Huang on Tuesday pointed to surging demand for Nvidia GPUs. The company shipped 3.6 million Blackwell GPUs to America's four largest cloud service providers -- Microsoft (MSFT), Alphabet (GOOGL), Amazon (AMZN), and Meta (META) -- in its 2025 fiscal year, which ended in late January. That's up from 1.3 million Hopper GPUs the year before. Nvidia also revealed a partnership with General Motors (GM) to train AI manufacturing models. The goal is to build the automaker's "future self-driving car fleet," Huang said. "The time for autonomous vehicles has arrived." Nvidia shares were more than 2% lower in recent trading Tuesday, leaving the stock down some 13% this year. Ahead of the conference, Bank of America analysts suggested its recent decline could offer investors an opportunity to buy the dip, reiterating a $200 price target that's above the $177 consensus of analysts tracked by Visible Alpha.

Nvidia GTC: Stock over 2% down amid General Motors partnership, new AI chip announcements

Nvidia CEO Jensen Huang announced the company's latest AI innovations and upcoming chip developments during his keynote address at the GTC. The company is set to partner with General Motors for self-driving technology. However, shares of the company fell over 2 per cent post the address. Nvidia CEO Jensen Huang made several announcements regarding the company's new products at its GPU Technology Conference (GTC) on March 18. The keynote address by Huang focused on what's next for Nvidia in AI, robotics and advanced computing. The company's stock, which had been in the red since before the GTC, failed to show any upward movement after the announcement. Nvidia has been facing pressure due to concerns about US tariffs, economic uncertainty and potential overspending on AI infrastructure. Huang stated that Nvidia will partner with General Motors (GM) for building future self-driving car factories and robots while speaking at his keynote address. Through their AI-powered chips and simulation technology, Nvidia will serve as a central element to help GM develop its upcoming autonomous vehicle fleet. General Motors saw its stock rise marginally after the announcement but was still down by almost 1 per cent. Through this collaboration, Nvidia continues to build its strategic growth plan, which extends AI from data facilities into industrial applications. Also Read : As Donald Trump Announces to Make Files on JFK Assassination Public, Here's a Look at Electoral Promises He Has Fulfilled So Far During his speech, Huang forecast that data center spending by Nvidia will achieve $1 trillion by 2028. He proclaimed that AI stands at a turning point, which is changing traditional approaches to construct data centers. Businesses have abandoned their commitments to conventional general-purpose processing systems to adopt accelerated computing, which heavily depends on Nvidia GPUs, as per Huang. Multiple major cloud providers, such as Microsoft, Alphabet, and Amazon, as well as Meta, are dependent on Nvidia for chips. The increasing demand shows how society is now more reliant than ever on AI infrastructure to carry out contemporary applications. Huang explained the fast-paced development of artificial intelligence, starting from fundamental perception modeling to consequently reaching the agentic AI stage that allows autonomous learning and autonomous planning capabilities. Physical AI represents the upcoming phase according to his plan since these systems will create humanoid robots that can interact with actual environments. Nvidia plans to introduce Blackwell Ultra GB300 AI chips, which will provide customers with at least 50 per cent larger memory capacities and substantially stronger performance capabilities. The upcoming Rubin GPU from the company, also announced at the GPU, will reach the market during 2026. Also Read : Former New York Yankees star Alex Verdugo yet to receive major league offer: Report Nvidia's stock experienced a fall of over 2 per cent during the keynote session, but Wall Street experts predict that GTC might become a key moment. Market sentiment might recover following this event because AI hardware retains overwhelming market demand, according to some analysts. Nvidia, through its chips, owns the top position in this sector and may well drive the future advancement of diverse industries. What major AI advancements did Nvidia announce at GTC 2025? Nvidia introduced agentic AI, new GPUs, and strategic partnerships, emphasizing AI's role in computing, robotics, and self-driving vehicles. How is Nvidia addressing market concerns about AI spending? The company reassured investors by showcasing strong AI hardware demand, partnerships, and future AI computing plans, despite concerns over tariffs and export restrictions.

Nvidia CEO Jensen Huang Announces General Motors Partnership At GTC: 'The Time For Autonomous Vehicles Has Arrived' - NVIDIA (NASDAQ:NVDA)

Nvidia Corporation NVDA CEO Jensen Huang announced Tuesday a partnership with General Motors Company GM for its self-driving segment. "The time for autonomous vehicles has arrived," Huang said at the GPU Technology Conference (GTC). GM will build next-generation vehicles on Nvidia Drive AGX, based on the Nvidia Blackwell architecture. The partnership includes factory planning, robotics, in-vehicle hardware for advanced driver-assistance systems and in-cabin safety driving experiences. "GM has enjoyed a longstanding partnership with NVIDIA, leveraging its GPUS across our operations," GM CEO Mary Barra said in a statement. "AI not only optimizes manufacturing processes and accelerates virtual testing but also helps us build smarter vehicles while empowering our workforce to focus on craftmanship." Barra said the partnership will allow the automotive company to unlock innovation for vehicle manufacturing. GM has been investing in Nvidia GPU platforms to train artificial intelligence models. The collaboration now expands to plant design and operations. "We are thrilled to partner with GM to build AI systems tailored to their vision, craft and know-how," Huang added. Read Also: GTC 2025 Could Reignite Nvidia's Stock Rally, But Only If B300, AI Server Roadmap, And Scaling Concerns Are Addressed, Says Top Analyst GM wasn't the only partnership hyped by Huang at the 2025 GTC Conference. "AI is going to go into every industry," Huang said, highlighting the use of Nvidia GPUs in the data center of Tesla vehicles. Huang Shares Excitement For Physical AI, Robotics During his GTC keynote, Huang expressed optimism for AI across many sectors, including physical AI, or robotics. Huang explored an AI timeline and how, over the last 10 years, its focus shifted from generative AI to agentic AI to the new wave, physical AI. "Artificial intelligence has made extraordinary progress," Huang said, explaining how each wave of AI opens up new market opportunities and new partners. "A new era of AI we call physical AI," he said. A chart shared by Huang showed the demand for Blackwell GPUs that have just started shipping, which comes from the growth of generative AI, agentic AI and now physical AI. Huang also announced Nvidia Dynamo, a distributed inference-serving library. The Nvidia CEO said Dynamo is an open-source operating system being used by the company's partners. At the start of his speech, Huang said GTC has been called the Woodstock of AI in the past and this year it was being called the Super Bowl of AI. "Everybody wins at this year's Super Bowl." Price Action: Nvidia stock trades at $115.83 at the time of writing, down 3.1% on the day. Nvidia stock has traded between $75.61 and $153.13 over the last 52 weeks. Shares are down 15% year-to-date in 2025 and up 34% over the last year. GM stock saw a quick lift from red to green after Huang's announcement. At the time of writing, GM stock was down 1.3% to $48.37. It has a 52-week trading range of $38.96 to $59.39. Read Next: Nvidia Q4 Earnings Highlights: Revenue Beat, EPS Beat, 'Demand For Blackwell Is Amazing' Image: Shutterstock NVDANVIDIA Corp $116.63-2.43% Stock Score Locked: Want to See it? Benzinga Rankings give you vital metrics on any stock - anytime. Reveal Full Score Edge Rankings Momentum84.14 Growth88.69 Quality96.81 Value6.97 Price Trend Short Medium Long Overview GMGeneral Motors Co $48.51-1.00% Market News and Data brought to you by Benzinga APIs

Tesla Takes Another Hit With Nvidia, GM Self-Driving Partnership - Tesla (NASDAQ:TSLA)

Tesla, Inc. TSLA took another hit on Tuesday when NVIDIA Corp. NVDA and General Motors Co. GM announced they will partner on self-driving vehicles. What To Know: Nvidia CEO Jensen Huang announced the GM partnership, which will include robotics, in-vehicle hardware for advanced driver-assistance systems and in-cabin safety driving experiences, at the GPU Technology Conference (GTC) on Tuesday afternoon. "The time for autonomous vehicles has arrived," Huang said. Read Next: SoundHound AI At 2025 NVIDIA GPU Technology Conference: In-car Voice Commerce Ecosystem 'A Game-Changer For #AutomotiveTech' Tesla said it will begin its first robotaxi service in Austin starting in June 2025 using Tesla-owned vehicles equipped with an unsupervised version of the company's Full Self-Driving (FSD) software. The Nvidia/GM partnership brings more competition for Tesla in the robotaxi space which already includes Alphabet Inc.'s GOOG GOOGL Waymo and Amazon.com Inc.'s AMZN Zoox. Tesla shares have fallen nearly 50% year-to-date as the company faces declining sales, increased competition and political controversy. Deepwater Asset Management managing partner Gene Munster told Benzinga that he remains bullish on Tesla. "I'm still positive for the long term. Believe they're the best positioned company for physical AI. Jensen talked about Physical AI today at the NVDA keynote," Munster said. Huang reviewed the development of AI as a timeline and discussed how the focus shifted from generative AI to agentic AI and now to physical AI, or robotics. "Artificial intelligence has made extraordinary progress," Huang said and explained the next phase is physical AI. "A new era of AI we call physical AI," he said. Read Next: Black Swan' Hedge Fund Posts 4,000% Profits During COVID-19 Market Crash: Here's How Photo: Shutterstock TSLATesla Inc $228.23-4.11% Stock Score Locked: Want to See it? Benzinga Rankings give you vital metrics on any stock - anytime. Reveal Full Score Edge Rankings Momentum85.47 Growth55.10 Quality97.50 Value12.82 Price Trend Short Medium Long Overview AMZNAmazon.com Inc $192.80-1.50% GMGeneral Motors Co $48.21-1.61% GOOGAlphabet Inc $162.99-2.15% GOOGLAlphabet Inc $160.74-2.16% NVDANVIDIA Corp $114.90-3.88% Market News and Data brought to you by Benzinga APIs

How The Nvidia-GM Partnership Could Challenge Tesla, Boost Uber - NVIDIA (NASDAQ:NVDA), Tesla (NASDAQ:TSLA), General Motors (NYSE:GM), Uber Technologies (NYSE:UBER)

Next: Get access to a new market-moving chart every day featuring a stock flashing clear technical signals. See today's pick now. Nvidia Corp NVDA just landed another heavyweight deal -- this time with General Motors Co GM -- and it's one that could shake up the autonomous driving race. While Tesla Inc TSLA has long dominated with its Full Self-Driving (FSD) tech, GM is now doubling down on Nvidia's AI muscle to build its next-gen self-driving fleet. Related: Tesla Takes Another Hit With Nvidia, GM Self-Driving Partnership And Uber Technologies Inc UBER is primed to benefit from the ride-hailing revolution. GM + Nvidia: A Self-Driving Power Play GM's new partnership with Nvidia will see the automaker using its AI chips and software to develop autonomous vehicle technology, both for its cars and factory operations. With traditional automakers struggling to commercialize self-driving tech, GM's move signals a major bet on AI-driven automation. While Tesla keeps its proprietary FSD tech in-house, GM is leaning on Nvidia's AI prowess, joining a lineup of other automakers such as Toyota Motor Corp TM, Hyundai and Mercedes-Benz, which have turned to the chip giant for their autonomous ambitions. GM previously used Nvidia's chips for its Cruise robotaxis, but after pulling the plug on that business, it's now pivoting to driver-assistance tech for personal vehicles. Uber Rides Into The Future Uber is also in on the action. Last year, the ride-hailing giant announced a partnership with GM's Cruise to deploy autonomous vehicles on its platform. The vision? A world where Uber riders might soon be hopping into driverless Chevys powered by Nvidia's AI. "As the largest mobility and delivery platform, we believe Uber can play an important role in helping to safely and reliably introduce autonomous technology to consumers and cities around the world," said Uber CEO Dara Khosrowshahi. With GM forecasting that its Super Cruise driver-assistance tech could bring in $2 billion in annual revenue within five years, the battle for self-driving dominance is heating up. Tesla may have a head start, but with Nvidia's AI driving the competition, the road ahead is anything but predictable. Read Next: Nvidia Extends AI Reign To 2028: JPMorgan Says It's Still '1-2 Steps Ahead' Photo: Shutterstock GMGeneral Motors Co $49.060.80% Stock Score Locked: Want to See it? Benzinga Rankings give you vital metrics on any stock - anytime. Reveal Full Score Edge Rankings Momentum76.80 Growth72.74 Quality89.05 Value91.46 Price Trend Short Medium Long Overview NVDANVIDIA Corp $116.921.30% TSLATesla Inc $231.612.79% UBERUber Technologies Inc $71.970.58% TMToyota Motor Corp $193.001.47% Market News and Data brought to you by Benzinga APIs

Nvidia, GM announce strategic business partnership

March 18 (UPI) -- General Motors Corp. and Nvidia officials have agreed to a business partnership that will help GM more efficiently produce current and next-generation vehicles. The business partnership provides GM with Nvidia artificial intelligence and other technologies while collaborating on next-generation vehicles, factories and robots that use AI, simulation and accelerated computers, GM and Nvidea officials announced Tuesday in a joint news release. "AI not only optimizes modern manufacturing processes and accelerates virtual testing, but also helps us build smarter vehicles while empowering our workforce to focus on craftsmanship," GM chair and Chief Executive Officer Mary Barra said. "By merging technology with human ingenuity, we unlock new levels of innovation in vehicle manufacturing and beyond," Barra said. Nvidia founder and Chief Executive Officer Jensen Huang said the tech firm will help GM build AI systems that are "tailored to their vision, craft and know-how." "The era of physical AI is here," Huang said. "Together with GM, we're transforming transportation, from vehicles to the factories where they're made." GM will use Nvidia's Omniverse, Blackwell and DriveOS technologies to train and improve manufacturing robotics platforms, build next-generation vehicles and develop and deploy autonomous vehicles. The DriveOS technology delivers "up to 1,000 trillion operations per second of high-performance" computing using an in-vehicle computer that makes AVs safer for road use. Nvidia officials also unveiled a new open physical AI dataset they say teaches "autonomous robots and vehicles how to interact with the physical world." "This dataset will grow over time to become the world's largest unified an open dataset for physical AI development," Nvidia officials said Tuesday in an online announcement. Nvidia officials say the new dataset gives researchers and developers a "head start" on developing the "next generation of physical AI." "We can do a lot of things with this dataset, such as training predictive AI models that help autonomous vehicles better track the movements of vulnerable road users, like pedestrians, to improve safety," said Henrik Christensen, the University of California-San Diego director of multiple robotics and autonomous vehicle labs. "A dataset that provides a diverse set of environments and longer clips than existing open-source resources will be tremendously helpful to advance robotics and AV research," Christensen said. Nvidia officials unveiled the new technology and others during the global Nvidia GTC AI conference that runs through Friday in San Francisco. GM officials did not say how much the automaker will pay Nvidia to use the new technological tools, CNBC reported. GM has used Nvidia graphics processing units to train AI models in many areas of its manufacturing operations at least since 2022.

GM taps Nvidia to help improve self-driving technology

Kelsey Barberio: Two of the biggest names in business are teaming up. General Motors and Nvidia have announced a partnership that will allow GM to use artificial intelligence chips and software in its vehicles. The carmaker will also use the technology to improve workflow in its factories. Of the deal, Nvidia CEO Jensen Huang said in a statement, "The era of physical AI is here, and together with GM, we're transforming transportation, from vehicles to the factories where they're made. We are thrilled to partner with GM to build AI systems tailored to their vision, craft and know-how." Related: New AI bet from tech upstart could be a major blow to Nvidia General Motors declined to reveal how much the new deal would cost. This isn't the first partnership Nvidia has made with a carmaker. Toyota and Hyundai both enlisted Nvidia to help improve their autonomous driving capabilities. China BYD, Germany's Mercedes-Benz, and U.S.-based Rivian also have deals with Nvidia. That'll do it for your daily briefing. From New York City, I'm Kelsey Barberio with TheStreet. Watch ICYMI This Week: