中泰证券此前研报指出，空芯光纤以空气为传输介质，其具备更低时延和更低损耗两种主要特性，是未 来AI数据中心互联的主要品种。2025年7月中国移动首条空芯光纤商用或标志商用化进程有望加快，长 飞光纤唯一中标人，实际中标价约3.6万元/芯公里。该行称，重点关注长飞光纤（空芯技术产能水平领 先，并已在相关项目中标）等。 本文源自：智通财经网 智通财经获悉，长飞光纤光缆(06869)早盘涨超20%，盘中高见44.86港元创历史新高。截至发稿，涨 19.07%，报43.96港元，成交额12.22亿港元。 消息面上，英伟达近日宣布推出 NVIDIA® Spectrum-XGS 以太网。这项跨区域扩展（scale-across）技 术可将多个分布式数据中心组合成一个十亿瓦级 AI 超级工厂。随着 AI 需求的激增，单个设施内的数 据中心功率和容量已达到极限。为了实现数据中心的扩展，必须打破建筑物的限制，而现有的商用以太 网网络基础设施因高延迟、高抖动及性能的不可预测而无法满足需求。开源证券指出，scale-across技术 有望成为继纵向扩展（scale-up）和横向扩展（scale-out）之后的AI计算"第三大支柱"， ...

Group 1 - The core idea emphasizes the importance of data elements and computing power in building a unified national market, highlighting their inherent advantages such as liquidity, high reusability, intangibility, and non-exclusivity [1][2] - The "East Data West Computing" initiative aims to guide computing power demand from the eastern regions to the western regions, facilitating cross-regional allocation of computing resources and enhancing the digital economy [3] - The construction of a unified data and computing market is essential to address the mismatch between supply and demand, as evidenced by the varying utilization rates of computing resources in different regions [1][3] Group 2 - The integration of computing power aims to break down regional and industry barriers, requiring collaboration among government departments, telecom operators, and internet companies to create a cohesive network [2] - The development of digital twin factories and smart agricultural applications demonstrates the practical benefits of computing power integration, leading to reduced operational costs and improved efficiency [4] - The establishment of a unified market is just the first step; addressing challenges such as data security and user privacy during cross-regional data sharing is crucial for long-term success [4][5]

数据要素具有流动性、高复用性、无形性、非排他性等特点，在助力全国统一大市场建设中具有天然优 势 联通的是市场，孕育的是机遇，积蓄的是新动能。以算力为支点，撬动经济循环，推动统一大市场建设 走深走实 数据向西、算力向东，能打开怎样的应用空间？ 近年来，乘着"东数西算"东风，一条条数据高速公路贯通，一个个数据中心在西部地区"生长"起来，数 据和算力优势源源不断转化为经济增长动能。实践表明，建设全国统一大市场，为各地提供了抢滩数字 经济、重塑发展优势的宝贵机遇。跳出一隅看全局，着眼国家所需、思考自身所能，因地制宜布局产 业，就能在抢位错位补位中实现更大发展、成就更大作为。 算力互联，普惠是目标所向，也是优势所在。 贵州贵阳，中安科技集团有限公司携手通信企业打造"5G+AI数字孪生工厂"，降低了运营成本，提升了 产销对接效率。甘肃庆阳，智能日光温室物联网应用示范点实现了对农作物生长环境的精准监测和调 控。得益于算力互联、算力成本不断降低，更多企业、乡村用得上、用得起新技术，让数字赋能发展的 新故事持续涌现。 福建厦门一家企业园区，无人驾驶安防车四处巡逻，可进行AI识别与风险预警。车辆实时采集的音视 频、激光雷达及毫米 ...

数据要素具有流动性、高复用性、无形性、非排他性等特点，在助力全国统一大市场建设中具有天然优 势 联通的是市场，孕育的是机遇，积蓄的是新动能。以算力为支点，撬动经济循环，推动统一大市场建设 走深走实 数据向西、算力向东，能打开怎样的应用空间？ 福建厦门一家企业园区，无人驾驶安防车四处巡逻，可进行AI识别与风险预警。车辆实时采集的音视 频、激光雷达及毫米波雷达数据，通过5G网络传输至宁夏中卫云数据中心，完成AI识别与风险预警耗 时仅100毫秒。算力互联，联出产业新可能，也联出区域协同。 随着数字经济蓬勃发展，数据的生产要素价值日益凸显，算力已成为继热力、电力之后新的关键生产 力。从交通运输、气象服务，到数据训练、影视渲染、网络游戏……无论是城市治理还是企业运营，都 需要算力支撑。 我国是算力资源大国，但算力资源呈分散分布，算力闲置和算力荒并存。比如，同处长三角G60科创走 廊，上海松江算力紧张，企业与科研项目出现大规模排队现象，安徽合肥算力利用率则约为65%。解决 供需错配问题，有赖于建设统一数据市场、算力市场。而这，正是建设全国统一大市场的重要内容。 算力互联，既要大力拆"篱笆"，也要着力培"土壤"。 数据要素 ...

Core Insights - The article emphasizes that computing power encompasses not only computational capabilities but also supporting network transport and data storage capabilities [1] - For computing power to be effective, hardware such as servers, chips, and storage devices, along with software including operating systems, cloud computing platforms, and AI frameworks, as well as network connectivity, must all be "online" simultaneously [1] - As of the end of 2024, China's total computing power is projected to reach 280 EFLOPS (exaflops) [1] - The computing power market is experiencing a structural imbalance characterized by both "surplus" and "shortage" [1]

Core Viewpoint - The rapid development of the artificial intelligence industry is driving the demand for computing power resources, leading to increased attention on computing power interconnectivity. The "Computing Power Interconnectivity Action Plan" aims to achieve nationwide public computing power standardization and interconnectivity by 2028 [1][2]. Group 1: Computing Power and Its Importance - Computing power has become an essential infrastructure, comparable to water, electricity, and gas in the digital age. It is a core element driving the development of artificial intelligence alongside data and algorithms [1]. - High-quality computing power is crucial for various applications, including smart home devices, AI model generation, intelligent manufacturing, scientific computing, and smart healthcare [1]. Group 2: Understanding Computing Power Interconnectivity - Computing power encompasses not only computational capabilities but also the supporting network, data storage, hardware, software, and connectivity. All three aspects must be operational simultaneously for effective utilization [2]. - By the end of 2024, China's total computing power is projected to reach 280 EFLOPS (exaflops). However, there is a structural imbalance in the computing power market, with both surplus and shortage issues [2]. Group 3: Goals and Strategies for Computing Power Interconnectivity - The goal of computing power interconnectivity is to enhance the flow of computing resources across the country, addressing issues such as low utilization rates and mismatched supply and demand in the industry [3]. - Building a unified and efficient computing network involves improving foundational technologies, increasing data transmission bandwidth, establishing a unified computing power identification system, and ensuring data and privacy security during transactions [2][3]. Group 4: Economic and Social Implications - A well-connected computing network can significantly enhance the efficiency of data transmission and resource allocation, facilitating the sharing of government data and improving logistics, data flow, and capital flow [3]. - In the era of interconnected devices, accelerating interconnectivity across various sectors and elements is not optional but a necessity for economic and social development [3].