【环球网科技报道 记者 林迪】8月14日，联想集团发布2025/26财年第一季度业绩报告。财报数据显 示，联想集团第一季度整体营收达1362亿人民币，同比增长22%，创下历史同期新高。非香港财务报告 准则下净利润同比增长22%，达28.16亿元人民币。所有主营业务营收全部实现大双位数的高速增长， 非PC业务营收占比升至47%，业务结构持续优化。 联想集团董事长兼CEO杨元庆在媒体沟通会上直言："所有主营业务均实现双位数增长，我们兑现了'市 场份额不掉、盈利不减'的承诺。" 杨元庆将业绩飙升的首要原因锁定为"人工智能带来的前所未有的增长机遇"。据他介绍，在终端侧，中 国市场提前完成既定目标：严格定义的AI PC（含GPU、NPU、预装大模型及安全机制）已占中国区笔 记本销量30%，周活用户比例突破40%。"AI PC换机潮大大超前我们预判。"杨元庆表示，现在，每卖3 台电脑就有1台AI PC，未来AI PC渗透率将继续推高至50%以上。 财报显示，在服务器侧，AI基础设施成为联想ISG 36%增速的核心引擎。上季度AI服务器收入同比大涨 155%，带动ISG整体规模四年扩张四倍至160亿美元。中国区服务器收入激 ...

Core Insights - Morgan Stanley's report highlights China's ambition to become a global leader in artificial intelligence (AI) technology, driven by a robust ecosystem of talent, innovation, data, and infrastructure [1][3] - The report emphasizes the importance of applying AI to the "real economy" and commercializing AI products to enhance productivity in traditional industries [1][2] - China is focusing on market-driven AI applications, particularly in sectors like autonomous driving, smart manufacturing, and digital customer service, contrasting with the U.S. focus on broader consumer applications [1][2] Infrastructure Sector - China's AI GPU self-sufficiency is projected to increase from 34% in 2024 to 82% by 2027, with companies like Huawei and Cambricon leading innovations in chip development [5] - Lenovo's business segments are expected to benefit from the AI revolution, with a 60% year-on-year growth in its ISG segment for Q4 2024 [6] Data Center Sector - The data center industry is anticipated to see a significant increase in new bookings, growing from 2.1 GW in 2024 to 3.7 GW annually from 2025 to 2027, representing a 76% increase [8] - The rental pricing in China's data center sector has stabilized at lower levels, with improving return rates due to lower bank financing costs and faster client onboarding [8] Platform Sector - The rapid development of AI applications is expected to accelerate growth in China's IaaS/PaaS market, benefiting cloud service providers like Alibaba and Tencent [9] - Tencent's cloud business is projected to accelerate growth starting Q2 2025, as it reallocates resources to external cloud clients [9] Application Sector - In the 2C domain, AI applications are rapidly evolving, with platforms like WeChat leveraging user data to enhance user experience and drive profitability [11] - The 2B application speed is expected to surpass previous public cloud cycles, with a subscription model becoming prevalent for enterprise AI applications [11] Automotive and Robotics - The penetration rate of L2+ autonomous driving in China is expected to reach 25% by 2025, benefiting manufacturers like BYD and Geely [12] - By 2030, China's humanoid robot inventory is projected to reach 252,000 units, with significant growth anticipated in both commercial and household humanoid robots by 2050 [12] Energy and Quantum Computing - AI-driven data centers are expected to account for 10% of China's total electricity demand by 2035, with green energy initiatives gaining traction [14] - China's advancements in quantum computing, exemplified by the "Zuchongzhi 3" prototype, are set to provide new computational capabilities that will benefit AI and other industries [14] Conclusion - Despite U.S. chip restrictions, China's AI computing capabilities are advancing, with domestic semiconductor companies innovating rapidly to close the performance gap with U.S. counterparts [15]

Core Insights - Lenovo's China Infrastructure Business announced a comprehensive product upgrade at the 2025 Lenovo Innovation Technology Conference, introducing six innovative technologies and two major upgrades [2] Group 1: Innovative Technologies - The six innovative technologies include: AI inference acceleration algorithm set, AI compiler optimizer, AI training and inference slow node fault prediction and self-healing system, expert parallel communication algorithm, "Flying Fish" bionic cooling design and immersion cooling system, and cost-performance dual optimization operating system for computing power services [2] - The AI inference acceleration algorithm can enhance AI inference performance by 5-10 times [2] - The AI compiler optimizer reduces training and inference computing costs by at least 15% [2] - The AI training and inference slow node fault prediction and self-healing system achieves self-healing in hundred-card seconds, thousand-card minutes, and ten-thousand-card ten minutes [2] - The expert parallel communication algorithm reduces inference latency by at least three times [2] Group 2: Major Upgrades - Lenovo announced two major upgrades based on the six innovative technologies: the Lenovo Wanquan Heterogeneous Intelligent Computing Platform 3.0 version and a comprehensive upgrade of Lenovo's AI infrastructure across computing power, storage capacity, and transport capacity [2] - The Wanquan Heterogeneous Intelligent Computing Platform 3.0 builds on five differentiated technologies from the previous year and introduces four new heterogeneous intelligent computing technologies to enhance local infrastructure computing efficiency [2] Group 3: New Server Family - Lenovo's new computing server family utilizes the latest generation of Intel® Xeon® 6 processors, featuring more cores and faster memory compared to the previous generation, with each core equipped with AI acceleration capabilities [3] - The number of processor cores has increased by 225%, doubling AI workload performance, and cabinet performance output has improved by 42% [3] Group 4: Strategic Vision - The release of the six innovative technologies and two major upgrades is a result of Lenovo's commitment to its "one horizontal and five vertical" strategic layout [3] - The company aims to continue exploring technological innovation potential and actively build an ecosystem through the development of continuously iterating hybrid infrastructure [3]