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Live+1 todayUpdated 1h ago

FAW and iFLYTEK Partner on AI for Intelligent Connected Vehicles

FAW Group has signed a strategic cooperation agreement with iFLYTEK to integrate AI and large language models into its vehicles and operations.

Annual sales

over 3 million units

What Happened

FAW Group Corporation and smart speech solution provider iFLYTEK signed a strategic cooperation framework agreement on May 21, 2026, during the Jilin-Anhui Cooperation and Development Exchange symposium. The partnership will focus on intelligent computing centers, algorithms, tools, large AI models, big data, knowledge bases, and intelligent solutions for enterprise and automotive applications. FAW chairman Qiu Xiandong emphasized the importance of collaborating with outstanding enterprises to push for new cooperation outcomes and support the transformation toward green and intelligent development in Jilin and Anhui provinces.

FAW will work closely with iFLYTEK and other outstanding enterprises on the automobile industrial chain to explore the potential for further cooperation and push for new cooperation outcomes, and support the automobile industry in Jilin and Anhui provinces in the transformation towards green and intelligent development.
Qiu Xiandong, chairman of FAW Group
Key Areas of Cooperation
  • Intelligent computing centers
  • Algorithms and tools
  • Intelligent platforms including large AI models, big data, and knowledge bases
  • Intelligent solutions for enterprise and automotive applications

Why this matters

The partnership aims to accelerate FAW's shift toward intelligent, connected vehicles using advanced AI, potentially boosting the competitiveness of Chinese automakers globally.

Terms in This Story

Intelligent connected vehicles (ICVs)
Vehicles equipped with internet connectivity, sensors, and AI to enable advanced driving assistance, communication, and autonomous features.
Large AI model
A deep learning model with a vast number of parameters trained on extensive datasets, used for natural language processing, image recognition, and other complex tasks.
Read Original: FAW Group

Summarised from the linked release; details can be imperfect — always verify against the original source.