Shang Hai Zheng Quan Bao·2026-01-29 06:45Core Viewpoint - Alibaba has officially launched its high-end AI chip "Zhenwu 810E," marking a significant milestone in its transformation from an e-commerce company to a high-tech enterprise driven by both e-commerce and AI [1][16]. Group 1: Product Launch and Technology - The "Zhenwu" PPU chip features a self-developed parallel computing architecture and inter-chip interconnection technology, with a memory of 96G HBM2e and an interconnection bandwidth of 700GB/s, suitable for AI training, inference, and autonomous driving [5]. - The performance of the "Zhenwu" PPU surpasses mainstream domestic GPUs and is comparable to NVIDIA's H20, receiving positive feedback from industry professionals [5][7]. - The chip has been deployed in multiple clusters on Alibaba Cloud, serving over 400 clients, including major organizations like the State Grid and Xpeng Motors [5][7]. Group 2: Strategic Development - Alibaba has established a comprehensive AI ecosystem, referred to as "Tongyun Ge," which integrates self-developed chips, leading cloud services, and top-tier open-source models [6][9]. - The company has been investing in AI since 2009, with Alibaba Cloud becoming a leading player in the Asia-Pacific region, serving over 5 million customers [7][11]. - The "Tongyun Ge" strategy represents a culmination of 17 years of strategic investment and vertical integration, positioning Alibaba as a key competitor in the global AI landscape [7][16]. Group 3: Market Position and Future Outlook - Alibaba is one of only two companies globally that possess top-tier capabilities in large models, cloud computing, and AI chips, alongside Google [1][13]. - The company is focusing on becoming a leading full-stack AI service provider, with plans for significant investments in AI infrastructure, amounting to 380 billion yuan over three years [15][17]. - The AI-related products of Alibaba Cloud have shown consistent triple-digit growth for nine consecutive quarters, indicating strong market demand and potential for revenue acceleration [15][17].