本报讯 （记者矫月）2025年10月10日—12日，以"碳硅共生合创AI+时代"为主题的2025中国移动全球合 作伙伴大会在广州保利世贸博览馆举办。这场汇聚产业力量的盛会，旨在深入实施"人工智能+"行动， 推动科技创新与产业创新、实体经济与数字经济深度融合，助力开创碳硅融合文明新形态。作为中国移 动紧密的战略合作伙伴，神州鲲泰携"人工智能+"领域核心成果重磅亮相，与数百家企业一道，在3万多 平方米的展示空间内，全景呈现AI+时代的无限可能。 本次大会上，中国移动展区精心设置5大展示板块，系统性呈现"AI+"在数智化生活、生产、治理、 BASIC6科创计划及全球合作与产投协同等领域的创新突破。其中，BASIC6科创计划重点展出大数据、 人工智能、安全、能力中台、算力网络、6G及量子技术的最新成果，为观众勾勒出数字技术融合发展 的清晰蓝图。 在众多参展力量中，神州鲲泰的"人工智能+"成果尤为亮眼。其全新升级的「人工智能+」产品矩阵成 为展区焦点，覆盖大模型训推、中心推理、边缘推理、智算板卡及行业智能化解决方案等全栈形态，构 建起从底层硬件到场景应用的完整技术闭环。特别是2025年7月发布的业界首款基于鲲鹏920新 ...

Core Insights - The 2025 World Artificial Intelligence Conference (WAIC) showcased a shift in focus from pure technical parameters to practical applications and commercial value in AI technology [2][14] - The competition in computing power is evolving into a comprehensive system engineering challenge, addressing performance, compatibility, storage, and energy efficiency [4][10] - AI companies are increasingly integrating their models with real-world applications to unlock new data sources and enhance AI capabilities [15][16] Computing Power Infrastructure - Companies like Huawei and China Digital are pushing the limits of computing power, with Huawei's Atlas 900 A3 SuperPoD achieving a performance of 300 PFLOPS [2][4] - The financial sector is supporting AI infrastructure, with companies like Chip Xin Leasing investing 8 billion yuan in AI-related projects [4] - The demand for private deployment of large models is increasing due to data security concerns, indicating a shift in market needs [5][6] Model and Application Development - AI model developers are focusing on deep integration with industry scenarios to create real business value, moving away from mere technical showcases [14][17] - Companies like Step Leap Star are launching new models aimed at cost reduction and efficiency improvement, collaborating with multiple chip manufacturers to enhance compatibility [17][18] - The importance of data storage and management is highlighted, with companies like Dawning Storage addressing challenges in data accessibility and efficiency [8][9] AI in Creative Industries - AI-generated content (AIGC) is transforming creative processes, with companies like Digital Kingdom introducing platforms that streamline content creation [20][21] - AI is positioned as a "super assistant" for creators, enhancing productivity while allowing them to focus on core creative tasks [21] Consumer-Focused AI Products - New AI products, such as the TicNote AI recording pen, are being developed to serve individual users, encapsulating complex AI capabilities in user-friendly formats [23] - The overarching goal of AI advancements is to contribute to real GDP growth across society, industries, and nations [24]

Group 1: AI Industry Trends - The 2025 World Artificial Intelligence Conference (WAIC) showcased over 800 companies and highlighted a growing competition in computing power infrastructure led by hardware manufacturers like Huawei and Inspur [2][3] - There is a shift in focus from pure technical specifications to the practical application of AI in business scenarios, emphasizing the importance of translating AI technology into real commercial value [2][10] - Companies are increasingly investing in AI infrastructure, with Chip Xin Leasing announcing an investment of 8 billion yuan to support data centers and computing power leasing [3] Group 2: Computing Power and Infrastructure - Huawei introduced the Ascend 384 SuperNode (Atlas 900 A3 SuperPoD) with a computing power of 300 PFLOPS, representing a significant advancement in computing capabilities [3][4] - The competition in computing power is evolving into a complex system engineering challenge that requires addressing performance, compatibility, storage, and energy efficiency [3][4] - The demand for private deployment of large models is increasing due to data security concerns, leading to differentiated computing power solutions for training and inference [5] Group 3: Data Storage and Management - Data centers face challenges such as data silos and inefficient data utilization, prompting companies like Inspur to develop unified storage systems to enhance data accessibility [6][7] - The collaboration between China Mobile and Inspur aims to establish a nationwide unified file storage system to support the "East Data West Computing" strategy [6] - Efficient data management is crucial for maximizing computing power, with investments in storage systems yielding significant cost savings in computing expenses [7] Group 4: AI Model Development and Application - AI model developers are moving away from mere parameter comparisons to deeply integrating AI into industry applications, seeking to create ecosystems that generate commercial value [10][11] - Companies like Step Leap Star are focusing on cost reduction and efficiency improvement in AI models, collaborating with multiple chip manufacturers to enhance hardware compatibility [11] - The integration of AI into creative industries is transforming production processes, with companies like Digital Kingdom launching platforms to streamline content creation [14] Group 5: Consumer Applications of AI - AI technologies are being packaged into consumer-friendly products, such as the TicNote AI recording pen, which aims to assist users in various tasks [16] - The overarching goal of AI advancements is to contribute to real GDP growth across society, industries, and nations, rather than merely showcasing intelligence [16]