Amid the accelerating evolution of the artificial intelligence industry, Tencent announced a systematic restructuring of its LLM R&D framework, creating three core departments to strengthen its full-chain layout. The newly formed AI Infrastructure Department will take on the technical construction of LLM training and inference platforms, focusing on key breakthroughs in distributed training and high-performance inference services to provide stable and efficient underlying support for algorithm development—underscoring the central role of computing power in AI infrastructure. Meanwhile, the AI Data Department and the Data Computing Platform Department will respectively focus on building LLM data evaluation systems and data-intelligent fusion platforms, ensuring the quality and efficiency of data processing and highlighting the critical role of data in AI model training. This adjustment not only reflects Tencent’s keen insight into AI industry trends but also signals a shift from single-technology competition to ecosystem integration.
In terms of personnel appointments, Vincesyao has officially assumed the role of Chief AI Scientist in the Office of the President, reporting directly to Tencent President Liu Chiping, while also serving as the head of the AI Infrastructure Department and the Large Language Model Department, reporting to Lu Shan, President of the Technology Engineering Group. This arrangement aims to integrate R&D resources and enhance strategic synergy, underscoring Tencent’s high regard for AI leadership. On the management team, Wang Di continues as Deputy General Manager of the Large Language Model Department, reporting to Vincesyao; Liu Yuhong and Chen Peng will lead the AI Data Department and the Data Computing Platform Department respectively, both reporting to company Vice President Jiang Jie. This series of moves demonstrates that Tencent, through a refined organizational structure, is accelerating its sprint in the LLM race, aligning with the industry trend of shifting from algorithm competition to deep integration of infrastructure and data.