Hyundai Motor Group has expanded its partnership with NVIDIA to further develop autonomous driving technology, with plans to deploy AI-powered systems across its vehicle lineup that will underpin everything from next-generation driver assistance systems to future robotaxi services.
The partnership brings together Hyundai and Kia’s growing software-defined vehicle (SDV) capabilities with NVIDIA’s AI computing platform, creating a unified approach to developing and deploying autonomous driving technology at scale. At the core of the partnership is the NVIDIA DRIVE Hyperion platform, which will serve as the foundation for a new, data-driven autonomous driving stack across Hyundai Motor Group’s vehicle lineup.
As part of the expanded agreement, Hyundai Motor Group plans to integrate NVIDIA-powered systems into select Hyundai and Kia production vehicles, enabling Level 2 and higher driver assistance features. These systems are expected to enhance safety and deliver more intelligent driving experiences, while also laying the groundwork for higher levels of autonomy.
“The future of mobility will be built on AI and software,” said Rishi Dhall, vice president of automotive at NVIDIA. “We’re combining Hyundai Motor Group’s leadership in vehicle engineering with NVIDIA’s accelerated computing and AI to build safe, intelligent, NVIDIA DRIVE-based autonomous driving systems — from advanced driver assistance in select production vehicles to scalable robotaxi services with Motional.”
Beyond consumer vehicles, the partnership also extends to Motional, Hyundai’s autonomous driving joint venture, where both companies will explore ways to accelerate Level 4 robotaxi development.
One of the key pillars of the partnership is the use of real-world driving data to continuously improve autonomous systems. Like Tesla’s approach to Full Self-Driving (FSD), Hyundai Motor Group’s global fleet will act as a large-scale data generator, feeding information into NVIDIA’s AI infrastructure for model training, simulation, and validation.
This creates a continuous feedback loop: vehicles collect real-world data, AI models are trained and refined, and updates are deployed back into production vehicles. Over time, this approach allows systems to improve as they learn from a wide range of driving scenarios.
The companies say this unified development pipeline will support a scalable architecture capable of evolving from today’s driver assistance features to more advanced autonomous capabilities.
