XPENG launches industry's first AI-powered in-car OS, promoting AI-enabled smart driving experience

• XPENG upgrades XOS 5.1.0, AI Tianji, the industry's first AI-powered in-car OS, for all eligible users on May 20
• XOS 5.1.0 integrates end-to-end large model technology, enhancing the smart driving experience for XPENG car owners
• Intelligent and personalized in-car AI assistant services through AI assistant Xiao P, AI Chauffeur, and AI Bodyguard
• XPENG AI Valet Driver offers customizable, end-to-end smart driving experiences across China

BEIJING, May 20, 2024 (GLOBE NEWSWIRE) -- XPENG Motors (“XPENG” or the “Company,” NYSE: XPEV and HKEX: 9868), a leading Chinese smart electric vehicle (“Smart EV”) company, today showcased its cutting-edge advancements in AI technology and announced the full rollout of the XOS 5.1.0, Tianji, in-car OS to all eligible XPENG models during the XPENG AI DAY event themed "Pioneering a new era of smart AI driving."

XPENG AI Day Press Conference asset library

At the press conference, XPENG Chairman and CEO He Xiaopeng also announced major news: "The first model of the MONA series will debut in June this year," and clearly outlined XPENG's new market positioning as the global pioneer and promoter of AI smart driving.

Unveiling the first in-car OS that integrates mass-produced end-to-end large model in China

Led by AI technology, the Chinese automotive market is undergoing a transformation from electrification to smartification. AI-powered smart vehicles are accelerating their evolution, offering more human-like decision-making and enhanced, safer driving experiences through end-to-end data iteration.

For XPENG, AI Smart EVs possess three core characteristics: Active learning, rapid growth, and personalized experiences.

The core technology involves feeding and training AI large models with unlimited rules to enhance their understanding, perception, and decision-making abilities in complex scenarios. Currently, XPENG has developed core algorithms for perception, positioning, planning, and decision-making, and established both vehicle-end and cloud-end data processing capabilities, enabling rapid algorithm iteration based on real data, and continuously providing users with enhanced autonomous driving capabilities through OTA updates.