根据公告，本次发行对象不超过35名合格投资者，发行股票数量不超过3120万股，占发行前公司总股本的30%，发行价格通过询 价方式确定，不低于定价基准日前20个交易日股票交易均价的80%。发行完成后，所认购股份限售期为6个月，公司控股股东王 飞雪、金建林、袁隽合计持股比例仍将保持绝对优势，控制权不会发生变化。 募集资金具体用途方面，2.73亿元将投入OSS产品研发平台及自智网络关键应用项目，通过构建统一研发基座升级15款现有OSS 产品，提升自智网络运维自动化与智能化水平；1.6亿元用于算力网络智能调度管理及运营系统项目，开发算力控制器、算网大脑 等9大产品模块，支撑"东数西算"战略实施；7400万元投向新一代数字家庭软件定义终端和管理平台项目，引入SDN（软件定义 网络）技术实现家庭网关转发与控制分离，助力电信运营商数字家庭业务升级；1.21亿元用于上海研发办公中心建设，改善研发 办公环境并提升人才吸引力；剩余3400万元补充流动资金，优化资本结构并支撑业务扩张。 根据募集说明书（修订稿），公司拟通过定向发行股票募集资金不超过6.62亿元，聚焦OSS产品研发平台及自智网络关键应用、 算力网络智能调度管理及运营 ...

Core Insights - The rapid expansion of AI computing power in China is highlighted, with the current capacity reaching 3000P for training and 1000P for inference, and over 250 innovative solutions developed across various sectors [1] - The integration of computing power and network technology, referred to as "算网融合" (computing-network integration), is identified as a critical path for addressing the growing demand for AI computing resources and enhancing computational efficiency [3][6] - The Chinese intelligent computing power market is projected to grow significantly, with estimates indicating a market size of $25.9 billion by 2025, reflecting a 36.2% increase from 2024 [2] Industry Growth and Trends - The intelligent computing power scale in China is expected to reach 1037.3 EFLOPS by 2025, representing a 43% increase from 2024, and is projected to double by 2026 [2] - The compound annual growth rate (CAGR) for China's intelligent computing scale from 2023 to 2028 is forecasted at 46.2%, indicating a strong trend towards large and super-large intelligent computing centers [2] - The demand for AI models is driving a significant increase in computing power requirements, with current needs exceeding hardware supply by over 200 times [3] Technological Developments - Companies are focusing on transforming data centers into intelligent computing centers, emphasizing the need for efficient, green, and high-performance solutions [4][5] - Huawei is leveraging advanced technologies such as zero-loss networking and intelligent computing network scheduling to enhance computing resource utilization from 40% to 75% [5] - The integration of distributed computing architecture, low-latency networks, and virtualization technologies is essential for achieving high-quality development in computing power [6] Market Dynamics - The competition among enterprises for intelligent computing resources is intensifying, with a focus on optimizing computing infrastructure and enhancing service capabilities [5] - The shift from hardware-centric approaches to efficiency-driven models in AI computing is becoming evident, necessitating a demand-oriented and benefit-oriented approach in intelligent computing center construction [6]

中国移动日前宣布建成全国首个覆盖"通、智、超、量"（通算、智算、超算、量子计算）四算融合的算 力网络，算力服务器规模超100万台，智算规模超43EFLOPS（每秒百亿亿次浮点运算），并网21家智 算中心、3家国家级超算中心、3家量算中心，可调度算力资源占全国六分之一。 专家认为，以数智化为主要特征的新一轮科技革命和产业变革深入发展，数据成为新生产要素，算力成 为新基础设施和基础能源，人工智能成为新生产工具，推动经济社会从"互联网+""5G+"向"人工智能 +"加速转变，对算网基础设施演进提出新要求，也带来新机遇。 算力规模不断扩大 作为人工智能发展的基石，算力已成为重要的基础设施之一，算力需求呈爆发式增长。数据显示，截至 2024年底，我国算力总规模达280EFLOPS，其中智能算力规模达90EFLOPS，占比超过30%。同时，算 力基础设施发展成效显著，梯次优化的算力供给体系初步构建，算力基础设施综合能力明显提升，算力 产业不断创新发展，持续赋能千行百业。 国际数据公司（IDC）与浪潮信息联合发布的《2025年中国人工智能计算力发展评估报告》显示， DeepSeek带来的算法效率提升并未抑制算力需求，反而因 ...