收购预期落空引发估值坍塌 根据公告，开普云原计划通过"支付现金+发行股份"的方式，购买深圳市金泰克半导体有限公司（下 称"金泰克"）持有的南宁泰克100%股权，并募集配套资金。就收购原因，开普云表示，公司在AI大模 型、AI智能体和行业应用信息化智能化领域的专长与南宁泰克在存储技术研发的实力相结合，可以推 动AI优化存储解决方案的开发。 收购事项延宕半年后，开普云（688228.SH）一纸公告宣布终止计划，引发股价大跌。 2月24日晚间，开普云公告称，因交易核心条款未能达成一致，公司决定终止收购南宁泰克半导体有限 公司（下称"南宁泰克"）100%股权的重大资产重组计划。市场此前对该笔收购能否达成已有疑虑，公 司股价自1月末见顶后便持续单边下行。 随着收购的正式落空，2月25日早盘，开普云股价大跌，盘中最大跌幅超18%，最终收跌14.78%，报收 115.68元，最近15个交易日累计下挫54%。为应对股价的持续下跌，公司同步抛出股份回购方案，拟以 不超过315元/股的价格，动用自有资金5000万元至1亿元进行回购，以维护公司价值及股东权益。 然而市场担忧的是，在资产注入预期不再、主营业务盈利能力孱弱的背景下，这 ...

国家发展改革委于1月20日表示正研究设立国家级并购基金，半导体领域被视为重点支持方向，可能推 动2026年产业链并购活动加速。 行业状况 经济观察网 根据截至2026年2月21日的公开信息，"快辑半导体"这一名称在近期公告及主流财经数据库 中未明确匹配到对应的上市公司或重大事件记录。当前半导体行业的整体动态可参考以下热点： 行业状况 2026年1月以来，国内半导体龙头企业密集推进资产重组。例如，华虹公司于1月5日发布收购华力微 97.5%股权的交易草案，中微公司同期披露收购杭州众硅电子64.69%股权的预案，旨在通过整合强化产 能与技术协同。此类案例反映行业通过资本运作提升集中度的趋势。 政策面情况 2026年CES展会上，英伟达、AMD等企业发布新一代AI算力平台，推动半导体设备需求。SEMI预计 2026年全球半导体制造设备市场规模将增长至1450亿美元。 以上内容基于公开资料整理，不构成投资建议。 多家机构预测存储涨价趋势可能延续至2026年全年。TrendForce数据显示，DRAM资本开支2026年预计 同比增长14%，NAND资本开支增幅为5%，但产能扩张仍滞后于需求。此外，长鑫科技科创板IPO于 ...

格隆汇1月27日丨怡亚通(002183.SZ)在投资者互动平台表示，怡亚通正坚定向科技驱动型企业转型。公 司通过全资的怡佰电子与兴怡香港平台保障存储产品稳定供应，并与美光、东芝、铠侠等国际原厂深度 合作。在存储芯片领域，公司构建了全链条投资布局：战略投资星火半导体（存储芯片设计），服务长 安、比亚迪等客户；参股的存储控制器芯片龙头联芸科技（688249.SH）已上市；并通过投资上海芯景 铄完善存储模组布局。在算力与信创赛道，控股子公司卓优云智已交付多个AI算力平台；参股企业卓 怡恒通的产品全面适配海光、飞腾等六大国产CPU。此外，公司通过参股伟仕佳杰（00856.HK）、俊 知集团（01300.HK）等产业链优质企业，强化在分销网络与5G/6G通信领域的协同，共同构建自主可控 的产业生态，服务于国家数字经济发展战略。 ...

证券日报网讯1月26日，怡亚通（002183）在互动平台回答投资者提问时表示，算力方面，公司控股子 公司卓优云智已交付多个AI算力平台；此外，公司通过旗下子公司卓怡恒通构建覆盖龙芯、飞腾、海 光、鲲鹏等六大国产CPU平台的技术矩阵，形成"智能通用硬件+行业解决方案+工业物联"三维一体的产 品体系。未来公司将会坚定向科技驱动型企业转型。 ...

①AI算力+国产CPU，交付多个AI算力平台，构建覆盖龙芯、飞腾、海光、鲲鹏等六大国产CPU的技术矩 阵，这家公司通过投资掌握SSD控制器核心环节； ②人形机器人+AI服务器，人形机器人海外新订单加速 增长并积极扩产，这家公司控股子公司为海外AI服务器提供铜连接模组。 前言 《电报解读》是一款主打时效性和专业性的即时资讯解读产品。侧重于挖掘重要事件的投资价值、分析 产业链公司以及解读重磅政策的要点。即时为用户提供快讯信息对市场影响的投资参考，将信息的价值 用专业的视角、朴素的语言、图文并茂的方式呈现给用户。 ...

Group 1 - The project aims to build an AI computing platform with a scale of 1536 PFlops@FP16 to provide external AI computing services [1][2] - The procurement includes high-performance intelligent computing servers, networking, storage devices, and security equipment, as well as software platforms for infrastructure management, cloud resource management, operation management, computing scheduling, AI, and big data [1][2] - The project encompasses the procurement, integration, debugging, acceptance, quality assurance, maintenance, and operation services of AI computing center hardware and software, ensuring all functional requirements are met [1][2] Group 2 - The bid result was announced on January 23, 2026, with Jiangsu Cloud Factory Information Technology Co., Ltd. winning the bid for 519,709,680 yuan and receiving a score of 96.32 [2] - The procurement includes various types of servers such as training servers and mixed flash storage servers, with specific brands and models detailed in the attachments [4] - The quantities and unit prices for the servers include 350 units at 1,173,982 yuan, 4 units at 1,780,000 yuan, and 4 units at 1,380,000 yuan, as specified in the attachments [4]

Core Viewpoint - The company is committed to transforming into a technology-driven enterprise through a "supply chain + industrial chain + capital empowerment" model, ensuring stable supply of storage products and deepening cooperation with international manufacturers [1] Group 1: Supply Chain and Partnerships - The company utilizes its wholly-owned subsidiary, Yibai Electronics, and the Hong Kong platform to secure stable supply of storage products [1] - Collaborations with major international manufacturers such as Micron, Toshiba, and Kioxia are emphasized [1] Group 2: Investment Strategy - The company has established a comprehensive investment layout in the storage chip sector, including strategic investments in Starfire Semiconductor for storage chip design [1] - The company serves clients such as Changan and BYD, and holds shares in leading storage controller chip company, Lianyun Technology, which has gone public [1] - Investments in Shanghai Chipshine enhance the company's storage module layout [1] Group 3: AI and Computing Power - The company's subsidiary, Zhuoyou Cloud Intelligence, has delivered multiple AI computing power platforms [1] - The company holds approximately 25% in Zhuoyi Hengtong, whose products are compatible with six domestic CPUs including Haiguang and Feiteng [1] Group 4: Industry Ecosystem - Through stakes in companies like Weishi Jiajie and Junzhi Group, the company strengthens its distribution network and collaboration in the 5G/6G communication sector [1] - The aim is to build a self-controllable industrial ecosystem that supports the national digital economy development strategy [1]

Core Viewpoint - The strategic partnership between Beijing Lightyear Infinite (Turing Robot) and Runjian Co., Ltd. aims to enhance the AI industry and education in the Guangxi region and ASEAN through resource and capability complementarity [1][2]. Group 1: Strategic Cooperation - On July 27, a strategic cooperation was established between Turing Robot and Runjian Co., Ltd. during the WAIC 2025 World Artificial Intelligence Conference [1]. - The partnership includes the formation of the China-ASEAN AI Innovation Ecological Alliance and the development of an AI development platform white paper [1]. Group 2: Company Profiles - Runjian Co., Ltd. has extensive experience in the telecommunications and energy sectors, focusing on building a nationally influential AI computing power platform [2]. - Turing Robot, launched in 2014, is one of the earliest AI dialogue robot development platforms in China, holding nearly 500 invention patents in the AI technology/application field [2]. - Turing Robot's AI hardware, branded as "Turing Inside," has been deployed in over 100 million units, facilitating billions of AI interactions daily across various commercial scenarios, including education and transportation [2].

Core Insights - The application of large models is reaching a critical point, with continuous upgrades to foundational models and the deep application phase beginning, leading to an accelerated explosion in the enterprise market [1][3] - The deployment rate of digital employees will become a standard for measuring a company's advancement, with the ability of AI to complete tasks determining the speed of a company's future growth [3] Group 1: Product Launch and Development - JD Cloud launched nine major products, including an AI computing power platform, a large model development computing platform, and JoyAgent 2.0, aimed at helping enterprises reconstruct their AI infrastructure [1][3] - The "plug-and-play" large model integrated machine has rapidly developed, with over 500 units deployed nationwide in the past three months [3][4] - Three vertical industry integrated machines were introduced, focusing on healthcare, industrial, and financial sectors [3] Group 2: Market Trends and Performance - JD's large model service usage has seen explosive growth, increasing by 200% month-over-month, with over 14,000 intelligent agents operating internally [4] - Various large model applications have penetrated JD's retail, logistics, and healthcare sectors, enhancing efficiency for over 500,000 merchants and more than 380,000 delivery personnel [4] Group 3: Infrastructure and Challenges - The shift towards large model applications presents new requirements and challenges for enterprise infrastructure, necessitating a transition from CPU-centric to GPU-centric architectures [5] - As inference demands surge, the need for computational resources continues to rise, prompting enterprises to consider resource allocation and return on investment [5] - JD Cloud aims to deepen its technological capabilities and expand the boundaries of large model technology, leveraging its internal application experience to create cost-effective solutions for enterprises [5]