Nvidia Expands AI Partnerships for Next-Generation Autonomous Vehicles

Nvidia AI to Boost Development of Autonomous Vehicle Tech | PYMNTS.com

Autonomous vehicles (AVs) are emerging as a use case for artificial intelligence, with Nvidia announcing partnerships with carmakers to develop self-driving technology using its hardware and software platform. "Generative AI will power the future of mobility, requiring both rich data and very powerful compute," said Uber CEO Dara Khosrowshahi in the announcement. "By working with Nvidia, we are confident that we can help supercharge the timeline for safe and scalable autonomous driving solutions for the industry." Toyota will build its next-generation vehicles on Nvidia's Drive AGX platform to add advanced driving assistance capabilities, while Aurora and Continental plan to deploy driverless trucks at scale, according to a separate Monday press release. Aurora is developing self-driving systems for commercial vehicles like trucks, while Continental provides advanced trucking technologies and components. Other clients include Mercedes-Benz, Rivian, Volvo, Amazon's Zoox, BYD and more. The autonomous vehicle market "is going to be very large," Huang said during the speech, predicting it will become the "first multitrillion-dollar robotics industry." The reason why fully self-driving systems are difficult to develop is the nearly limitless scenarios an autonomous car will encounter on the road that it can be trained to anticipate. For instance, partially obscured stop signs or signs placed in unexpected areas can confuse a car. These are things that even an inexperienced human driver can easily handle. There are five levels of autonomous driving, with level 5 being a vehicle that can drive itself in all conditions without human input, according to the U.S. Environmental Protection Agency. Levels 1 to 4 have varying degrees of human intervention. Tesla, despite having a full self-driving (FSD) feature, has not reached level 5. Nvidia's Drive AGX platform helps carmakers reach different levels of autonomy, from advanced driver assistance systems to fully driverless. Drive AGX is part of Hyperion, Nvidia's broader reference architecture specifically built for autonomous vehicles. Huang said during the keynote that each car manufacturer will decide on the extent of their collaboration with the chipmaker. Huang called Nvidia's approach the "three computers," referring to the training, simulation and in-car computer systems. The company's most advanced chip architecture, Blackwell, is coming to autonomous cars. The Nvidia Drive Thor chip, the successor to Drive Orin, is built to handle intense processing workloads -- like the billions of data coming from cars with sensors and cameras. On the regulatory front, a group that represents autonomous car companies is urging the U.S. government to do more to accelerate adoption -- or else cede the lead to China. "The federal government is the one that needs to lead when it comes to vehicle design, construction and performance, and we just have not seen enough action out of the federal government in recent years," Autonomous Vehicle Industry Association CEO Jeff Farrah said, according to a Tuesday (Jan. 7) Reuters report. Members of the association include Waymo, Uber, Zoox and others. Autonomous vehicle deployment has been hampered by high-profile crashes, including an October 2023 accident when a Cruise vehicle dragged a pedestrian 20 feet after she was hit by another car, the report said. The U.S. Department of Transportation has opened investigations into Cruise, Waymo and Zoox. However, proponents have long argued that autonomous vehicles are much safer than human drivers, who can be distracted or impaired. The trade group wants federal legislation to clearly state that human controls are not necessary for autonomous vehicles to meet performance standards and to allow car companies to disable an AV's manual controls, per the report. It also called on the U.S. government to create a national AV safety data repository accessible by state transportation authorities.

Nvidia will power Toyota's next-gen self-driving cars

CES 2025 Read and watch our complete CES coverage here Updated less than 38 seconds ago Nvidia has had a huge year, but it's seemingly about to get even better for the company. At CES 2025, Nvidia CEO Jensen Huang unveiled not only its next-generation GPUs, but also its plan to expand into the automotive world. That master plan doesn't just involve the launch of new automotive-focused GPUs; it also includes expanded shipping of its vehicle-focused software called DriveOS. In fact, the company already has some partners working on next-generation vehicles that use DriveOS software, chief among them being Toyota. Recommended Videos To be clear, DriveOS isn't necessarily focused on infotainment software. Instead, it's an autonomous driving platform that will essentially serve as the foundation for Toyota's self-driving vehicle ambitions. According to Nvidia, the goal of DriveOS is to provide safe AI processing in real time and integrate that processing into other software within the vehicle. Get your weekly teardown of the tech behind PC gaming ReSpec Subscribe Check your inbox! Privacy Policy Nvidia has actually been working toward the self-driving space for some time now, under a project that it calls Cosmos. Cosmos works in tandem with another Nvidia project called Omniverse, which is a physics simulation tool that creates simulations that Cosmos then turns into photorealistic imagery to train AI systems. Essentially, Nvidia is generating situations to train its AI systems instead of having to conduct millions of miles of real-world training. The partnership between Nvidia and Toyota isn't actually new. Toyota has been working with Nvidia for a while, largely through using its DGX supercomputers used to train AI models for future iterations of self-driving cars. The partnership will eventually involve Toyota also using Nvidia's AGX AI computer, the current generation of which is called Thor AGX. Nvidia also announced partnerships with Aurora, an autonomous vehicle startup, and Continental, an automotive supplier. The company says thiswill involve the deployment of driverless trucks. The partnership with Toyota is particularly interesting, though. Toyota has been seen to be lagging behind the competition a little when it comes to adopting new technologies, largely stemming from the fact that the company was slow to adopt battery EVs. Regardless, it's becoming increasingly clear that the large chipmakers will have a massive role in future vehicles, whether it be through powering the processing behind all the data that sensors collect, or through delivering a smooth and responsive consumer-facing software experience.

Nvidia gets key design wins to bring AI to autonomous vehicle fleets

These partners are part of a growing list for Nvidia and they're rolling out next-generation highly automated an autonomous vehicle fleets. Jensen Huang, CEO of Nvidia, made the announcements at his opening keynote speech at CES 2025. Nvidia announced today those companies have joined the list of global mobility leaders developing and building their consumer and commercial vehicle fleets on Nvidia accelerated computing and AI. Toyota, the world's largest automaker, will build its next-generation vehicles on the high-performance, automotive-grade Nvidia Drive AGX Orin system-on-a-chip (SoC), running the safety-certified Nvidia DriveOS operating system. These vehicles will offer functionally safe, advanced driving assistance capabilities. The majority of today's auto manufacturers, truckmakers, robotaxi, and autonomous delivery vehicle companies, tier-one suppliers and mobility startups are developing on Nvidia Drive AGX platform and technologies. With cutting-edge platforms spanning from training in the cloud, to simulation to compute in the car, Nvidia's automotive vertical business is expected to grow to approximately $5 billion in fiscal year 2026. "The autonomous vehicle revolution has arrived, and automotive will be one of the largest AI and robotics industries," said Huang. "Nvidia is bringing two decades of automotive computing, safety expertise and its CUDA AV platform to transform the multitrillion dollar auto industry." Aurora, Continental and Nvidia this week also announced a long-term strategic partnership to deploy driverless trucks at scale, powered by Nvidia Drive. Nvidia's accelerated compute running DriveOS will be integrated into the Aurora Driver, an SAE level 4 autonomous-driving system that Continental plans to mass-manufacture in 2027. Other mobility companies adopting Nvidia Drive accelerated compute for their next-generation advanced driver-assistance systems and autonomous vehicle roadmaps include BYD, JLR, Li Auto, Lucid, Mercedes-Benz, NIO, Nuro, Rivian, Volvo Cars, Waabi, Wayve, Xiaomi, ZEEKR, Zoox and many more. Nvidia offers three core computing systems and the AI software essential for end-to-end autonomous vehicle development. One is the Nvidia Drive in-vehicle computer for processing real-time sensor data. The other two are Nvidia DGX systems for training AI models and software stacks, and the Nvidia Omniverse platform running on Nvidia OVX systems for testing and validating self-driving systems in simulation.

Toyota, Aurora and Continental Join Growing List of NVIDIA Partners Rolling Out Next-Generation Highly Automated and Autonomous Vehicle Fleets

CES -- NVIDIA announced today that Toyota, Aurora and Continental have joined the list of global mobility leaders developing and building their consumer and commercial vehicle fleets on NVIDIA accelerated computing and AI. Toyota, the world's largest automaker, will build its next-generation vehicles on NVIDIA DRIVE AGX Orin™, running the safety-certified NVIDIA DriveOS operating system. These vehicles will offer functionally safe, advanced driving assistance capabilities. The majority of today's auto manufacturers, truckmakers, robotaxi, and autonomous delivery vehicle companies, tier-one suppliers and mobility startups are developing on NVIDIA DRIVE AGX™ platform and technologies. With cutting-edge platforms spanning training in the cloud to simulation to compute in the car, NVIDIA's automotive vertical business is expected to grow to approximately $5 billion in fiscal year 2026. "The autonomous vehicle revolution has arrived, and automotive will be one of the largest AI and robotics industries," said Jensen Huang, founder and CEO of NVIDIA. "NVIDIA is bringing two decades of automotive computing, safety expertise and its CUDA AV platform to transform the multitrillion dollar auto industry." Aurora, Continental and NVIDIA this week also announced a long-term strategic partnership to deploy driverless trucks at scale, powered by NVIDIA DRIVE. NVIDIA's accelerated compute running DriveOS will be integrated into the Aurora Driver, an SAE level 4 autonomous-driving system that Continental plans to mass-manufacture in 2027. Other mobility companies adopting NVIDIA DRIVE AGX for their next-generation advanced driver-assistance systems and autonomous vehicle roadmaps include BYD, JLR, Li Auto, Lucid, Mercedes-Benz, NIO, Nuro, Rivian, Volvo Cars, Waabi, Wayve, Xiaomi, ZEEKR, Zoox and many more. NVIDIA offers three core computing systems and the AI software essential for end-to-end autonomous vehicle development. NVIDIA DRIVE AGX is the in-vehicle computer. NVIDIA DGX™ processes the data from the fleet and trains AI models, and NVIDIA Omniverse™ and NVIDIA Cosmos™ running on NVIDIA OVX™ systems test and validate self-driving systems in simulation.

Toyota, Aurora and Continental Join Growing List of NVIDIA Partners Rolling Out Next-Generation Highly Automated and Autonomous Vehicle Fleets By Investing.com

LAS VEGAS, Jan. 06, 2025 (GLOBE NEWSWIRE) -- CES"NVIDIA announced today that Toyota (NYSE:TM), Aurora and Continental have joined the list of global mobility leaders developing and building their consumer and commercial vehicle fleets on NVIDIA accelerated computing and AI. Toyota, the world's largest automaker, will build its next-generation vehicles on NVIDIA DRIVE AGX Orin™, running the safety-certified NVIDIA DriveOS operating system. These vehicles will offer functionally safe, advanced driving assistance capabilities. The majority of today's auto manufacturers, truckmakers, robotaxi, and autonomous delivery vehicle companies, tier-one suppliers and mobility startups are developing on NVIDIA DRIVE AGX™ platform and technologies. With cutting-edge platforms spanning training in the cloud to simulation to compute in the car, NVIDIA's automotive vertical business is expected to grow to approximately $5 billion in fiscal year 2026. The autonomous vehicle revolution has arrived, and automotive will be one of the largest AI and robotics industries, said Jensen Huang, founder and CEO of NVIDIA. NVIDIA is bringing two decades of automotive computing, safety expertise and its CUDA AV platform to transform the multitrillion dollar auto industry. Aurora, Continental and NVIDIA this week also announced a long-term strategic partnership to deploy driverless trucks at scale, powered by NVIDIA DRIVE. NVIDIA's accelerated compute running DriveOS will be integrated into the Aurora Driver, an SAE level 4 autonomous-driving system that Continental plans to mass-manufacture in 2027. Other mobility companies adopting NVIDIA DRIVE AGX for their next-generation advanced driver-assistance systems and autonomous vehicle roadmaps include BYD (SZ:002594), JLR, Li Auto (NASDAQ:LI), Lucid (NASDAQ:LCID), Mercedes-Benz (OTC:MBGAF), NIO, Nuro, Rivian (NASDAQ:RIVN), Volvo (OTC:VLVLY) Cars, Waabi, Wayve, Xiaomi (OTC:XIACF), ZEEKR, Zoox and many more. NVIDIA offers three core computing systems and the AI software essential for end-to-end autonomous vehicle development. NVIDIA DRIVE AGX is the in-vehicle computer. NVIDIA DGX™ processes the data from the fleet and trains AI models, and NVIDIA Omniverse™ and NVIDIA Cosmos™ running on NVIDIA OVX™ systems test and validate self-driving systems in simulation. Learn more about NVIDIA's automotive and safety milestones at CES by tuning in to Huang's opening keynote. About NVIDIA NVIDIA (NASDAQ: NVDA) is the world leader in accelerated computing. For further information, contact: Marie Labrie Automotive NVIDIA Corporation (NASDAQ:NVDA) [email protected] Certain statements in this press release including, but not limited to, statements as to: the benefits, impact, and performance of NVIDIA's products, services, and technologies, including NVIDIA accelerated computing and AI, NVIDIA DRIVE AGX Orin, NVIDIA DriveOS operating system; NVIDIA CUDA AV platform, NVIDIA DRIVE Orin, NVIDIA DGX systems, NVIDIA Omniverse platform and NVIDIA OVX systems; NVIDIA Cosmos, third parties using or adopting NVIDIA's products and technologies, the benefits and impact thereof, and the features, performance and availability of their offerings; automotive being one of the largest AI and robotics industries; and NVIDIA bringing two decades of automotive computing, safety expertise and its CUDA AV platform to transform the multi-trillion dollar auto industry are forward-looking statements that are subject to risks and uncertainties that could cause results to be materially different than expectations. Important factors that could cause actual results to differ materially include: global economic conditions; our reliance on third parties to manufacture, assemble, package and test our products; the impact of technological development and competition; development of new products and technologies or enhancements to our existing product and technologies; market acceptance of our products or our partners' products; design, manufacturing or software defects; changes in consumer preferences or demands; changes in industry standards and interfaces; unexpected loss of performance of our products or technologies when integrated into systems; as well as other factors detailed from time to time in the most recent reports NVIDIA files with the Securities and Exchange Commission, or SEC, including, but not limited to, its annual report on Form 10-K and quarterly reports on Form 10-Q. Copies of reports filed with the SEC are posted on the company's website and are available from NVIDIA without charge. These forward-looking statements are not guarantees of future performance and speak only as of the date hereof, and, except as required by law, NVIDIA disclaims any obligation to update these forward-looking statements to reflect future events or circumstances. © 2025 NVIDIA Corporation. All rights reserved. NVIDIA, the NVIDIA logo, NVIDIA Cosmos, NVIDIA DGX, NVIDIA DRIVE, NVIDIA DRIVE AGX, NVIDIA DRIVE AGX Orin, NVIDIA Omniverse and NVIDIA OVX are trademarks and/or registered trademarks of NVIDIA Corporation in the U.S. and other countries. Other company and product names may be trademarks of the respective companies with which they are associated. Features, pricing, availability and specifications are subject to change without notice. Preset URL: https://nvidianews.nvidia.com/news/toyota-aurora-continental-nvidia-drive

Toyota, Aurora and Continental Join Growing List of NVIDIA Partners Rolling Out Next-Generation Highly Automated and Autonomous Vehicle Fleets

LAS VEGAS, Jan. 06, 2025 (GLOBE NEWSWIRE) -- CES -- NVIDIA announced today that Toyota, Aurora and Continental have joined the list of global mobility leaders developing and building their consumer and commercial vehicle fleets on NVIDIA accelerated computing and AI. , the world's largest automaker, will build its next-generation vehicles on DRIVE AGX Orin™, running the safety-certified DriveOS operating system. These vehicles will offer functionally safe, advanced driving assistance capabilities. The majority of today's auto manufacturers, truckmakers, robotaxi, and autonomous delivery vehicle companies, tier-one suppliers and mobility startups are developing on DRIVE AGX™ platform and technologies. With cutting-edge platforms spanning training in the cloud to simulation to compute in the car, NVIDIA's automotive vertical business is expected to grow to approximately in fiscal year 2026. "The autonomous vehicle revolution has arrived, and automotive will be one of the largest AI and robotics industries," said , founder and CEO of . "NVIDIA is bringing two decades of automotive computing, safety expertise and its CUDA AV platform to transform the multitrillion dollar auto industry." Aurora, Continental and this week also announced a long-term strategic partnership to deploy driverless trucks at scale, powered by DRIVE. NVIDIA's accelerated compute running DriveOS will be integrated into the Aurora Driver, an SAE level 4 autonomous-driving system that Continental plans to mass-manufacture in 2027. Other mobility companies adopting DRIVE AGX for their next-generation advanced driver-assistance systems and autonomous vehicle roadmaps include BYD, JLR, Li Auto, Lucid, Mercedes-Benz, NIO, Nuro, Rivian, , Waabi, Wayve, Xiaomi, ZEEKR, Zoox and many more. offers three core computing systems and the AI software essential for end-to-end autonomous vehicle development. DRIVE AGX is the in-vehicle computer. DGX™ processes the data from the fleet and trains AI models, and Omniverse™ and Cosmos™ running on OVX™ systems test and validate self-driving systems in simulation. Learn more about NVIDIA's automotive and safety milestones at CES by tuning in to Huang's opening keynote. Certain statements in this press release including, but not limited to, statements as to: the benefits, impact, and performance of NVIDIA's products, services, and technologies, including accelerated computing and AI, DRIVE AGX Orin, DriveOS operating system; CUDA AV platform, DRIVE Orin, DGX systems, Omniverse platform and OVX systems; Cosmos, third parties using or adopting NVIDIA's products and technologies, the benefits and impact thereof, and the features, performance and availability of their offerings; automotive being one of the largest AI and robotics industries; and bringing two decades of automotive computing, safety expertise and its CUDA AV platform to transform the multi-trillion dollar auto industry are forward-looking statements that are subject to risks and uncertainties that could cause results to be materially different than expectations. Important factors that could cause actual results to differ materially include: global economic conditions; our reliance on third parties to manufacture, assemble, package and test our products; the impact of technological development and competition; development of new products and technologies or enhancements to our existing product and technologies; market acceptance of our products or our partners' products; design, manufacturing or software defects; changes in consumer preferences or demands; changes in industry standards and interfaces; unexpected loss of performance of our products or technologies when integrated into systems; as well as other factors detailed from time to time in the most recent reports files with the , or , including, but not limited to, its annual report on Form 10-K and quarterly reports on Form 10-Q. Copies of reports filed with the are posted on the company's website and are available from without charge. These forward-looking statements are not guarantees of future performance and speak only as of the date hereof, and, except as required by law, disclaims any obligation to update these forward-looking statements to reflect future events or circumstances. © 2025 . All rights reserved. , the logo, Cosmos, DGX, DRIVE, DRIVE AGX, DRIVE AGX Orin, Omniverse and OVX are trademarks and/or registered trademarks of in the and other countries. Other company and product names may be trademarks of the respective companies with which they are associated. Features, pricing, availability and specifications are subject to change without notice.

Nvidia signs largest car maker, Toyota, to use its self-driving chips

Chip giant Nvidia has inked a deal for Toyota, the world's largest car manufacturer, to use the company's autonomous driving chips and software in multiple different models of car, the company's co-founder and CEO, Jensen Huang, announced during the opening keynote of the Consumer Electronics Show in Las Vegas on Monday. "The AV revolution has arrived," said Huang, meaning "autonomous vehicles." "Today, Toyota and Nvidia are going to partner together to create their next-generation AVs." Self-driving cars will be the "first trillion-dollar robotics market," Huang predicted. Also: Nvidia teases Rubin GPUs and CPUs to succeed Blackwell in 2026 Huang announced the Toyota deal as a highlight of the company's unveiling of what it calls "Cosmos," a set of AI technologies. Cosmos includes "state-of-the-art generative world foundation models," AI models attuned to devices that have to move in the physical world, including robots and automobiles. (An "AI model" is the part of an AI program that contains numerous neural net parameters and activation functions that are the key elements for how an AI program functions.) Cosmos works in conjunction with Nvidia's physics simulation tool, Omniverse. Omniverse generates simulations and Cosmos then turns that into photo-realistic video imagery to train robots and automobiles. "Take thousands of drives and turn them into billions of miles," is how Huang characterized the interplay between Omniverse and Cosmos. Huang called Cosmos "The world's first world foundation model," noting it is trained on 20 million hours of video. "It's really about teaching the AI to understand the physical world." Also: Nvidia's Omniverse: The metaverse is a network, not a destination Huang compared the Cosmos project to Meta Platforms's wildly popular Llama large language model, saying, "We really hope will do for the world of robotics and AI what Llama has done for enterprise AI." Cosmos with Omniverse can be used for such applications as to train a robot for a warehouse by having the robot perform hours of training in a simulation of the warehouse environment. The Cosmos code is available under an open-source license on GitHub, said Huang. Nvidia has had a relationship with Toyota for several years now. The company's DGX computers have been used by Toyota for training artificial intelligence models for self-driving vehicles. Monday's announcement is an expansion of that relationship, said Nvidia's head of automotive products, Ali Kani, in a briefing with reporters, where the car maker will also use the company's "AGX" onboard AI computer. The latest version of that chip, Huang announced, is called the "Thor AGX." It is twenty times more powerful than its predecessor Orin model. For robots, Huang proposed humans will perform demonstration of tasks while wearing Apple's Vision Pro headset. The Vision Pro headset captures video of the person's movements, and that is then sent to Cosmos and Omniverse and turned into hours of synthetic training data for the robot. "The ChatGPT moment for robotics is just around the corner, said Huang. Huang also unveiled additions to its suite of AI software. The updates include a group of AI models based on Meta Platforms's Llama model, called Llama Nemotron. Huang told the audience that Llama is "the reason every organization has been activated to work on AI." The Nvidia versions are meant to "fine-tune" Llama for enterprise use. Also: Nvidia announces raft of 'NIMs' to speed up Gen AI apps Huang also talked at length about the rising prominence of "agentic AI," where large language models, or multi-modal AI models, can call upon outside programs to carry out tasks. "There's this whole world of agentic AI, all these amazing new startups building frameworks like LangGraph, Llama Index, and Crew AI," said Justin Boitano, president of enterprise AI software products at Nvidia, in a briefing we had. Those startups are "changing the programming model of how do you write applications: you write an AI, you give it a role, which is like a persona, you give it a goal, you can create it with just a prompt." Nvidia works extensively with the startups, said Boitano. Huang said that agentic Ai, combined with self-driving cars and robots, are "three types of robots we are working on." Other announcements in th keynote included GEFORCE "Blackwell," the latest version of the company's gaming GPU, which is slashed in price from its predecessor 4090 to $549 from $1,599, available starting this month, with laptop versions coming in March; and Project DIGITS, a compact personal computer optimized for AI development, running a new version of the Grace-Blackwell combined CPU and GPU chip, called GB10.

Toyota, Aurora and Continental Join Growing List of NVIDIA Partners Rolling Out Next-Generation Highly Automated and Autonomous Vehicle Fleets - NVIDIA (NASDAQ:NVDA)

LAS VEGAS, Jan. 06, 2025 (GLOBE NEWSWIRE) -- CES -- NVIDIA announced today that Toyota, Aurora and Continental have joined the list of global mobility leaders developing and building their consumer and commercial vehicle fleets on NVIDIA accelerated computing and AI. Toyota, the world's largest automaker, will build its next-generation vehicles on NVIDIA DRIVE AGX Orin™, running the safety-certified NVIDIA DriveOS operating system. These vehicles will offer functionally safe, advanced driving assistance capabilities. The majority of today's auto manufacturers, truckmakers, robotaxi, and autonomous delivery vehicle companies, tier-one suppliers and mobility startups are developing on NVIDIA DRIVE AGX™ platform and technologies. With cutting-edge platforms spanning training in the cloud to simulation to compute in the car, NVIDIA's automotive vertical business is expected to grow to approximately $5 billion in fiscal year 2026. "The autonomous vehicle revolution has arrived, and automotive will be one of the largest AI and robotics industries," said Jensen Huang, founder and CEO of NVIDIA. "NVIDIA is bringing two decades of automotive computing, safety expertise and its CUDA AV platform to transform the multitrillion dollar auto industry." Aurora, Continental and NVIDIA this week also announced a long-term strategic partnership to deploy driverless trucks at scale, powered by NVIDIA DRIVE. NVIDIA's accelerated compute running DriveOS will be integrated into the Aurora Driver, an SAE level 4 autonomous-driving system that Continental plans to mass-manufacture in 2027. Other mobility companies adopting NVIDIA DRIVE AGX for their next-generation advanced driver-assistance systems and autonomous vehicle roadmaps include BYD, JLR, Li Auto, Lucid, Mercedes-Benz, NIO, Nuro, Rivian, Volvo Cars, Waabi, Wayve, Xiaomi, ZEEKR, Zoox and many more. NVIDIA offers three core computing systems and the AI software essential for end-to-end autonomous vehicle development. NVIDIA DRIVE AGX is the in-vehicle computer. NVIDIA DGX™ processes the data from the fleet and trains AI models, and NVIDIA Omniverse™ and NVIDIA Cosmos™ running on NVIDIA OVX™ systems test and validate self-driving systems in simulation. Learn more about NVIDIA's automotive and safety milestones at CES by tuning in to Huang's opening keynote. About NVIDIA NVIDIA NVDA is the world leader in accelerated computing. For further information, contact: Marie Labrie Automotive NVIDIA Corporation [email protected] Certain statements in this press release including, but not limited to, statements as to: the benefits, impact, and performance of NVIDIA's products, services, and technologies, including NVIDIA accelerated computing and AI, NVIDIA DRIVE AGX Orin, NVIDIA DriveOS operating system; NVIDIA CUDA AV platform, NVIDIA DRIVE Orin, NVIDIA DGX systems, NVIDIA Omniverse platform and NVIDIA OVX systems; NVIDIA Cosmos, third parties using or adopting NVIDIA's products and technologies, the benefits and impact thereof, and the features, performance and availability of their offerings; automotive being one of the largest AI and robotics industries; and NVIDIA bringing two decades of automotive computing, safety expertise and its CUDA AV platform to transform the multi-trillion dollar auto industry are forward-looking statements that are subject to risks and uncertainties that could cause results to be materially different than expectations. Important factors that could cause actual results to differ materially include: global economic conditions; our reliance on third parties to manufacture, assemble, package and test our products; the impact of technological development and competition; development of new products and technologies or enhancements to our existing product and technologies; market acceptance of our products or our partners' products; design, manufacturing or software defects; changes in consumer preferences or demands; changes in industry standards and interfaces; unexpected loss of performance of our products or technologies when integrated into systems; as well as other factors detailed from time to time in the most recent reports NVIDIA files with the Securities and Exchange Commission, or SEC, including, but not limited to, its annual report on Form 10-K and quarterly reports on Form 10-Q. Copies of reports filed with the SEC are posted on the company's website and are available from NVIDIA without charge. These forward-looking statements are not guarantees of future performance and speak only as of the date hereof, and, except as required by law, NVIDIA disclaims any obligation to update these forward-looking statements to reflect future events or circumstances. © 2025 NVIDIA Corporation. All rights reserved. NVIDIA, the NVIDIA logo, NVIDIA Cosmos, NVIDIA DGX, NVIDIA DRIVE, NVIDIA DRIVE AGX, NVIDIA DRIVE AGX Orin, NVIDIA Omniverse and NVIDIA OVX are trademarks and/or registered trademarks of NVIDIA Corporation in the U.S. and other countries. Other company and product names may be trademarks of the respective companies with which they are associated. Features, pricing, availability and specifications are subject to change without notice. Preset URL: https://nvidianews.nvidia.com/news/toyota-aurora-continental-nvidia-drive NVDANVIDIA Corp$152.291.91%Overview Rating:Good75%Technicals Analysis1000100Financials Analysis600100WatchlistOverviewMarket News and Data brought to you by Benzinga APIs

Toyota's next-generation cars will be built with Nvidia supercomputers and operating system

Toyota announced at CES 2025 that its next-generation vehicles will have automated driving capabilities powered by Nvidia's Drive AGX Orin supercomputer and safety-focused operating system, DriveOS. TechCrunch has reached out to Toyota to learn more about the automaker's plans to deploy vehicles with autonomous capabilities. DriveOS is the operating system for Nvidia's autonomous vehicle platform that promises safe, real-time AI processing and integration of advanced driving and cockpit features. Nvidia's Drive AGX in-vehicle supercomputer, which processes real-time sensor data, is just one of the three computers that make up Nvidia's end-to-end self-driving toolkit. The other two are Nvidia DGX for training AI models and software stacks, and the Nvidia Omniverse platform to test AV software and generate synthetic data in simulation. Toyota has been a customer of Nvidia's other two cloud-based computing systems for years. In 2019, the Toyota Research Institute began using Nvidia's technology to develop, train, and validate its autonomous vehicle technology. Two years prior, the companies shared plans to put Nvidia supercomputers on future Toyota vehicles to power autonomous driving systems. "Toyota is actually a great example of our cloud-to-car strategy," Ali Kani, vice president of automotive at Nvidia, said Monday during a press briefing. "We had already partnered with Toyota in the cloud, and now we're excited to extend that partnership and work with them in the car." Toyota isn't the only one. Also at CES 2025, autonomous vehicle technology startup Aurora Innovation and automotive supplier Continental announced a long-term partnership to deploy driverless trucks at scale powered by the Nvidia Drive Thor system-on-a-chip. With Nvidia's range of platforms spanning from training to simulation to compute, Nvidia expects its automotive vertical business to grow to about $5 billion in fiscal year 2026.

Nvidia Supercomputer, Operating System To Power Toyota's Next-Gen Vehicles - NVIDIA (NASDAQ:NVDA), Toyota Motor (NYSE:TM)

Japanese automaker Toyota Motor TM will use Nvidia Corp NVDA Drive AGX Orin supercomputer and operating system for advanced driver assistance features on its next-generation models, the chipmaker said on Monday. What Happened: In his keynote speech at CES 2025, the annual tech conference held in Las Vegas, Nvidia CEO Jensen Huang said that Toyota would build its next-generation vehicles on NVIDIA DRIVE AGX Orin, running the safety-certified NVIDIA DriveOS operating system in a bid to provide advanced driving assistance capabilities. The company did not specify which models would be using its operating system. "The autonomous vehicle revolution has arrived, and automotive will be one of the largest AI and robotics industries," said Huang. "NVIDIA is bringing two decades of automotive computing, safety expertise and its CUDA AV platform to transform the multitrillion dollar auto industry." The chipmaker now expects its automotive vertical business to grow to about $5 billion in FY2026 from $4 billion expected this year. Why It Matters: Other automakers that are adopting the NVIDIA DRIVE AGX for their advanced drive assistance systems include BYD, Li Auto, Lucid, Rivian, Xiaomi, Zeekr, and Zoox, among others. Nvidia now offers three core computing systems for autonomous driving. While the Nvidia DRIVE AGX is the in-vehicle computer, the Nvidia DGX trains AI models with data from the fleet. Nvidia Omniverse and Nvidia Cosmos test and validate self-driving systems in simulations. Price Action: Nvidia shares closed up 3.4% at $149.43 on Monday. The stock is up 9.9% year-to-date, according to data from Benzinga Pro. Check out more of Benzinga's Future Of Mobility coverage by following this link. Read Next: Toyota Overtakes Ford, GM In EV Sales In US, Thanks To Its Hybrid Vehicle Lineup Photo courtesy: Nvidia Market News and Data brought to you by Benzinga APIs

NVIDIA DRIVE Partners Showcase Latest Mobility Innovations at CES

From supercharging in-vehicle compute to boosting training in the cloud, transportation innovation shifts into high gear. Leading global transportation companies -- spanning the makers of passenger vehicles, trucks, robotaxis and autonomous delivery systems -- are turning to the NVIDIA DRIVE AGX platform and AI to build the future of mobility. NVIDIA's automotive business provides a range of next-generation highly automated and autonomous vehicle (AV) development technologies, including cloud-based AI training, simulation and in-vehicle compute. At the CES trade show in Las Vegas this week, NVIDIA's customers and partners are showcasing their latest mobility innovations built on NVIDIA accelerated computing and AI. Readying Future Vehicle Roadmaps With NVIDIA DRIVE Thor, Built on NVIDIA Blackwell The NVIDIA DRIVE AGX Thor system-on-a-chip (SoC), built on the NVIDIA Blackwell architecture, is engineered to handle the transportation industry's most demanding data-intensive workloads, including those involving generative AI, vision language models and large language models. DRIVE Ecosystem Partners Transform the Show Floor and Industry at Large NVIDIA partners are pushing boundaries of automotive innovation with their latest developments and demos, using NVIDIA technologies and accelerated computing to advance everything from sensors, simulation and training to generative AI and teledriving, and include: Delivering 1,000 teraflops of accelerated compute performance, DRIVE Thor is equipped to accelerate inference tasks that are critical for autonomous vehicles to understand and navigate the world around them, such as recognizing pedestrians, adjusting to inclement weather and more. At CES, Aurora, Continental and NVIDIA announced a long-term strategic partnership to deploy driverless trucks at scale, powered by the next-generation NVIDIA DRIVE Thor SoC. NVIDIA DRIVE Thor and DriveOS will be integrated into the Aurora Driver, an SAE level 4 autonomous driving system that Continental plans to mass-manufacture in 2027. Arm, one of NVIDIA's key technology partners, is the compute platform of choice for a number of innovations at CES. The Arm Neoverse V3AE CPU, designed to meet the specific safety and performance demands of automotive, is integrated with DRIVE Thor. This marks the first implementation of Arm's next-generation automotive CPU, which combines Arm v9-based technologies with data-center-class single-thread performance, alongside essential safety and security features. Tried and True -- DRIVE Orin Mainstream Adoption Continues NVIDIA DRIVE AGX Orin, the predecessor of DRIVE Thor, continues to be a production-proven advanced driver-assistance system computer widely used in cars today -- delivering 254 trillion operations per second of accelerated compute to process sensor data for safe, real-time driving decisions. Toyota, the world's largest automaker, will build its next-generation vehicles on the high-performance, automotive-grade NVIDIA DRIVE Orin SoC, running the safety-certified NVIDIA DriveOS. These vehicles will offer functionally safe advanced driving-assistance capabilities. At the NVIDIA showcase on the fourth floor of the Fontainebleau, Volvo Cars' software-defined EX90 and Nuro's autonomous driving technology -- the Nuro Driver platform -- will be on display, built on NVIDIA DRIVE AGX. Other vehicles powered by NVIDIA DRIVE Orin on display during CES include: NVIDIA's partners will also showcase their automotive solutions built on NVIDIA technologies, including: Safety Is the Way for Autonomous Innovation At CES, NVIDIA also announced that its DRIVE AGX Hyperion platform has achieved safety certifications from TÜV SÜD and TÜV Rheinland, setting new standards for autonomous vehicle safety and innovation. To enhance safety measures, NVIDIA also launched the DRIVE AI Systems Inspection Lab, designed to help partners meet rigorous autonomous vehicle safety and cybersecurity requirements. In addition, complementing its three computers designed to accelerate AV development -- NVIDIA AGX, NVIDIA Omniverse running on OVX and NVIDIA DGX -- NVIDIA has introduced the NVIDIA Cosmos platform. Cosmos' world foundation models and advanced data processing pipelines can dramatically scale generated data and speed up physical AI system development. With the platform's data flywheel capability, developers can effectively transform thousands of real-world driven miles into billions of virtual miles. Transportation leaders using Cosmos to build physical AI for AVs include Fortellix, Uber, Waabi and Wayve. Learn more about NVIDIA's latest automotive news by watching NVIDIA founder and CEO Jensen Huang's opening keynote at CES.