Latest news with #DRIVEAGXOrin
Yahoo
28-02-2025
- Automotive
- Yahoo
Nvidia's auto business doubled last quarter. Here's why CEO Jensen Huang believes it's just the beginning.
Nvidia's (NVDA) juggernaut Blackwell chip business, of course, gets all the headlines. But flying under the radar is Nvidia's auto business, which is beginning to make some waves. And it's just getting started. Case in point: "Fourth-quarter Automotive revenue was $570 million, up 27% from the previous quarter and up 103% from a year ago. Full-year revenue rose 55% to $1.7 billion," Nvidia revealed in its latest earnings release on Wednesday night. 'Nvidia's automotive vertical revenue is expected to grow to approximately $5 billion this fiscal year,' Nvidia CFO Colette Kress said on the earnings conference call. Nvidia's foray into the automotive sector is nothing new, but the drumbeat of news coming from the business has picked up recently. Take CES last month, for example, where the company highlighted the business. "In order to build a self-driving car, you need to train a mountain of data, video data," Nvidia CEO Jensen Huang said in an interview with Yahoo Finance from CES, explaining that Nvidia's graphics chips can be used not just for video games, but for simulations to train autonomous vehicles. "If just right now where the self-driving car business is, if it's already a $5 billion business for us, imagine how big it's going to be when we have a hundred million new cars per year. A trillion miles driven per year. This is likely going to be one of the largest robotics industries in the world and one of the largest computing industries in the world," Huang said. The company made a slew of news this quarter and at CES on the automotive front. Nvidia announced that Toyota (TM) — the world's largest automaker — will begin using the company's DRIVE AGX Orin chip and the Nvidia DriveOS operating system to power advanced driver assistance features in its next-generation vehicles. Nvidia said German tire and auto supplier Continental and self-driving truck company Aurora (AUR) would also use Nvidia's DRIVE hardware and DriveOS software in Aurora's level 4 autonomous driving system, Aurora Driver. Continental and Aurora plan to bring autonomous trucks hauling freight to roads beginning in 2027. And Korea's Hyundai Motor Group announced it would use Nvidia technologies to accelerate AV and robotics development, as well as smart factory initiatives. And those are just new updates. Nvidia chips are already used to power self-driving technologies at Mercedes (MGBAF), Volvo ( China's BYD (BYDDY), and device maker Foxconn, for example, and Nvidia chips power some of Tesla's supercomputers too. The confluence of supercomputing and robotics (like cars, for example) is one of the next big frontiers for AI. Huang calls it physical AI, or embodied AI, where physical objects harness AI to interact with the real world. 'More than any other factor, the growing investor interest in embodied AI has been driven by recent advancements in genAI/supercomputing,' Morgan Stanley analyst Adam Jonas wrote in a research note in late January. Advancements in AI — whether inspired by OpenAI, DeepSeek, or others — will help the millions of vehicles around the globe that are using self-driving software, and likely powered by Nvidia's Drive OS and hardware. While the future of autonomous and other physical AI will be exciting from a tech capabilities standpoint, it could also be lucrative for investors. "The [autonomous vehicle] revolution has arrived," Huang said during his CES keynote. "I predict that this will likely be the first multitrillion-dollar robotics industry." Pras Subramanian is a reporter for Yahoo Finance. You can follow him on X and on Instagram.
Yahoo
22-02-2025
- Automotive
- Yahoo
Incoming Volvo ES90 uses onboard AI to learn and improve over time
Only a few weeks away from its official launch, Volvo says its new ES90 will use an advanced onboard computer that is eight times better at AI computing than its existing tech. The ES90 is the second vehicle built on Volvo's Superset tech stack, a modular platform that allows Volvo to design safer cars more efficiently. Volvo added an NVIDIA DRIVE AGX Orin platform to the ES90, making its newest vehicle the company's most potent core computing machine. Each ES90 will be capable of roughly 508 trillion operations per second (TOPS).NVIDIA is an outstanding hardware company that made its name by producing some of the best PC GPUs on the market. The company is now focused on AI and developing an incredible platform for auto companies. DRIVE AGX Orin was introduced in 2019 as a system-on-a-chip (SoC) with 17 billion transistors integrating NVIDIA GPU architecture and Arm Hercules CPU cores. The DRIVE AGX Orin developer platform notes that the SoC is capable of 254 TOPS, supporting Volvo's claim that the ES90 has two Orin SoCs onboard. Volvo previously used NVIDIA DRIVE AGX Xavier and says that future EX90 vehicles will also use NVIDIA DRIVE AGX Orin. NVIDIA's platform will work alongside the Volvo ES90's single LIDAR array, five radars, eight cameras, and 12 ultrasonic sensors - all supported by 'an advanced driver understanding system inside the car.''The Volvo ES90 is one of the most technically advanced cars on the market today and is designed to be improved further with time,' said Anders Bell, Volvo's chief engineering and technology officer The only way to do this is to employ AI, which the NVIDIA Drive AGX Orin is designed to do. The NVIDIA Drive AGX Orin also supports NVIDIA DriveOS, an operating system developed by TensorRT, NVIDIA's AI deep learning model. Volvo hasn't said it will use DriveOS for the ES90, but the existing EX90 uses DriveOS as its core computing system. Volvo aims to have a supercomputer in each car it produces that learns how you drive and optimizes the vehicle for your driving habits. The automaker envisions a future where your car is hyper-personalized to do things like maximize range in an EV based on your driving habits. Moreover, Volvo's software-first approach allows it to send over-the-air updates, improving safety features based on metadata. Volvo proudly announced that software is now the primary driver of innovation for owners, which is a far cry from the company's origins when it developed reliable and safe vehicles based on unique hardware. Volvo still prioritizes safety, even in the software age, and we expect its use of AI and machine learning to result in incredible advancements in EV safety. The more Volvo learns, the safer its drivers are—that's always been true. Now, it will just happen faster. Love reading Autoblog? Sign up for our weekly newsletter to get exclusive articles, insider insights, and the latest updates delivered right to your inbox. Click here to sign up now!
