Wave of EV Makers Selects NVIDIA DRIVE

For Next-Gen EVs, Li Auto chooses DRIVE Thor; GWM, ZEEKR, and Xiaomi create AI-driven vehicles leveraging NVIDIA DRIVE Orin. 

FREMONT, CA: “The transportation industry is embracing centralized computing for highly automated and autonomous driving. The AI car computer of choice for today’s intelligent fleets is NVIDIA DRIVE Orin, with automakers increasingly looking to the advanced capabilities and AI performance of its successor, NVIDIA DRIVE Thor, for their future vehicle roadmaps,” says Xinzhou Wu, vice president of automotive at NVIDIA. 

NVIDIA declared that Li Auto, a leader in extended-range electric vehicles (EVs), has chosen to equip its next-generation fleets with the NVIDIA DRIVE ThorTM centralized car computer. NVIDIA also revealed that the NVIDIA DRIVE OrinTM platform has been incorporated by EV manufacturers GWM (Great Wall Motor), ZEEKR, and Xiaomi to power their intelligent automated driving systems.

The next-generation centralized car computer, DRIVE Thor, combines several intelligent features into a single AI compute platform to provide driver and passenger monitoring, autonomous driving and parking, and AI cockpit functionality.

“LLM-driven AI technology will profoundly enhance future mobility as well as the entire automotive industry. GWM is committed to working with NVIDIA and other industry-leading players to offer greener, smarter mobility for all,” says a GWM spokesperson. 

Li Auto's assisted-driving system, AD Max, is powered by two DRIVE Orin processors for its L-series models. With a combined throughput of 508 trillion operations per second (TOPS), the processors facilitate the real-time integration and processing of sensor data, enabling advanced driver-assistance systems (ADAS) full-scenario autonomous driving for navigation, full-scenario assisted driving for lane change control (LCC), automated parking, and automatic emergency braking (AEB) active safety features.

The system is now running on an end-to-end algorithmic architecture driven by massive AI models thanks to the new AD Max 3.0 update. Using spatiotemporal trajectory planning, model-predictive control algorithms, occupancy networks, and other technologies provides a safer and more enjoyable intelligent driving experience.