The two companies are joining hands to provide AI-driven scalable solutions for advanced driver assistance systems (ADAS) and autonomous driving systems.

Image source: Magna International Inc.
Canadian auto parts manufacturer Magna International is collaborating with technology developer Nvidia to integrate Nvidia's Drive AGX platform into Magna's next-generation advanced technology solutions.
On March 18, Magna, headquartered in Aurora, Ontario, stated in a press release that the collaboration would give rise to cutting-edge artificial intelligence technologies, as well as various levels of autonomous driving and in-vehicle applications.
Drive AGX Thor system-on-a-chip (SoC) runs the safety-certified DriveOS operating system, built on the Blackwell GPU architecture, integrating more functions to enhance efficiency, speed, and scalability. Leveraging the powerful computing performance and scalability of the next-generation SoC, Magna will develop and test more advanced vehicle safety and comfort technologies, such as the latest advancements in SAE-defined Level 2+ to Level 4 active safety solutions.
Magna states that Nvidia's Drive AGX Thor can provide up to 1,000 teraflops of artificial intelligence computing power per second, featuring 8-bit floating point support optimized for transformer models, large language models, and generative AI workloads.
Steven Jenkins, Vice President of Magna's Electronic Technology Strategy, said: "By combining Nvidia's accelerated computing and artificial intelligence capabilities with Magna's extensive automotive industry expertise and innovation, we aim to explore new standards for the next generation of software-defined vehicle intelligence and autonomous driving. Our collaboration enables us to develop market applications for AI-driven solutions that may redefine the driving experience and meet the ever-changing needs of the automotive industry."
In the pilot project with Nvidia, Magna will leverage its expertise in developing, integrating, and launching advanced features such as adaptive cruise control, driver and passenger monitoring, highway and urban autonomous navigation, and in-vehicle AI-assisted functions. The project aims to address the complexity of computational availability and performance when integrating advanced driver assistance systems (ADAS), autonomous driving, and in-vehicle AI functions, to provide scalable, flexible, and customizable system solutions that meet market demands and regulatory requirements.