Xpeng ปรับโครงสร้าง R&ทีม D มุ่งเน้นไปที่เทคโนโลยีแบบ End-to-End

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Xpeng Reorganizes R&D Structure to Focus on End-to-End AI Large Models

Xpeng Restructures R&D Team to Sharpen Focus on End-to-End Technology - News - 1

ตามรายงานของสื่อท้องถิ่น, เซิง has restructured its organizational setup to concentrate on end-to-end artificial intelligence (เอไอ) large models, aligning with shifts in the smart driving technology landscape.

Similar to its domestic competitors Nio (สวทช.: สนช.) และ หลี่ออโต้ (แนสแด็ก: หลี่), Xpeng has overhauled its organizational structure to place a greater emphasis on end-to-end technology. The reorganization primarily affects the technology development department, which oversees algorithm development for perception, planning, control, and localization.

Under the new structure, Xpeng’s technology development department has been divided into three distinct units: AI end-to-end, AI applications, and AI efficiency. This realignment splits the algorithms team into two primary functions: one focused on model development and the other on feature delivery.

The move follows recent adjustments by Nio and Li Auto, both of which have also restructured their teams in response to changes in the technology route. เมื่อต้นปีนี้, เท สลา (แนสแด็ก: ทีเอสแอลเอ) launched FSD V12, which demonstrated favorable outcomes, further solidifying the end-to-end large model technology as an industry standard.

ในเดือนมิถุนายน, another local media outlet, โพสต์ล่าช้า, reported that Nio had reorganized its smart driving team to prioritize end-to-end technology. Nio integrated its perception and planning control teams into a large model team, while reorganizing the integration team into a technology delivery team.

เมื่อเดือนกรกฎาคม 17, 36kr revealed that Li Auto established an end-to-end large model autonomous driving team comprising over 200 บุคลากร, with additional staff providing flexible support as needed. Li Auto’s smart driving team is divided into two main groups—algorithm development and mass production development—with a total workforce of around 800 people.

These changes reflect the growing trend among Chinese carmakers to adopt end-to-end large model technologies, following the success of Tesla’s approach.