Hyundai collaborates with Nvidia to enhance artificial intelligence in autonomous vehicles and industrial robots.

Hyundai Motor Group, the South Korean automotive giant, has teamed up with Nvidia, a technology firm based in the United States, to create cutting-edge AI technologies focused on smart mobility and manufacturing processes. This partnership, revealed during the CES trade show in Las Vegas, seeks to boost Hyundai's expertise in areas such as autonomous vehicles, robotics, and improving manufacturing effectiveness.

The collaboration utilizes Nvidia's advancements in accelerated computing, generative AI, and digital twin technologies. Hyundai plans to incorporate these innovations into its software-defined vehicles, robotic systems, and manufacturing processes.

In a company announcement, Heung-Soo Kim, the executive vice president and leader of Hyundai's global strategy office, remarked, "This collaboration is designed to fast-track our advancements, establishing the Group as a leader in pioneering AI-driven mobility innovations."

Nvidia's data center computing framework will assist Hyundai in handling the extensive data quantities necessary for training sophisticated AI models and building a strong software foundation for autonomous vehicles.

Hyundai plans to utilize Nvidia Omniverse on Nvidia OVX systems to develop digital twins aimed at simulating and enhancing manufacturing workflows. According to Nvidia, these virtual environments facilitate precise product design and prototyping while improving production efficiency, ultimately lowering costs and accelerating the time it takes to bring products to market.

Hyundai plans to utilize Nvidia Isaac Sim, a robotics simulation platform, to train industrial robots in lifelike virtual environments. This approach aims to guarantee that robots can interact safely and efficiently with humans while enhancing the quality of manufacturing processes.

Simulation technology is set to be vital for the secure implementation of autonomous vehicles. Hyundai plans to develop virtual environments to evaluate self-driving systems across a range of conditions, such as severe weather, congested traffic, and uncommon situations. These simulations are intended to verify autonomous driving applications and improve vehicle safety.