证券研究报告|行业点评报告 [Table_Date] 2026 年 03 月 01 日 [Table_Title] 国产算力逻辑春节后全面夯实 [Table_Title2] 通信 [Table_Summary] 1、国产算力逻辑春节后全面夯实：Token 调用量首超 美国 + 芯片拐点验证 + 政策基建双轮驱动 春节后，国产算力逻辑进一步夯实，由 Token 数量暴增、国产芯 片业绩拐点使得算力全链条确定性提升。当前时点， 短期地缘冲 突（美以-伊朗升级）可能放大 risk-off 情绪，需警惕海外不确 定性对全球 AI 投资节奏的扰动，但在国内市场需求相对具有韧 性，国产模型的成本/生态提供较强对冲，国产算力全链条有望 在政策+成本双轮驱动下持续稳健提升。在视频、编程等核心领 域有望加速催化应用落地，同时国内相关算力需求有望拉动硬件 设备和算力租赁相关市场景气度，对于边缘端算力分发也有受 益。相关受益标的包括算力租赁和第三方数据中心厂商：光环新 网、数据港、润泽科技、协创数据、东阳光、大卫科技等；国产 芯片和昇腾生态相关厂商：寒武纪、海光信息、华胜天成等；海 外共振+国产推理放量受益的光联接相关：天孚通信、 ...

计算机 | 证券研究报告 — 行业点评 2026 年 3 月 1 日 AI 应用持续落地 计算机行业事件点评 国内互联网大厂于春节期间投入超 45 亿元推广 AI 应用，标志着 AI 竞争已进入应用 生态争夺与用户习惯培养阶段。国内大模型在性能与市场应用端也不断加速追赶。尽 管市场对 AI 取代人类产生阶段性担忧，但行业转向理性务实，更关注商业化落地。 我们认为，未来行业有望向"通用大模型"与"垂直行业应用"双线发展。 支撑评级的要点 投资建议 建议关注大模型及细分行业 AI Agent 领域企业，包括智谱、MINIMAX-WP、科 大讯飞、拓尔思、汉得信息、中控技术、宝信软件、索辰科技、万兴科技、金山 办公、合合信息、用友网络、道通科技、石基信息、税友股份、安恒信息等。 评级面临的主要风险 产业推进不及预期，技术研发进展不及预期，国际合作难以推进。 证券分析师：杨思睿 (8610)66229321 sirui.yang@bocichina.com 证券投资咨询业务证书编号：S1300518090001 证券分析师：郑静文 jingwen.zheng@bocichina.com 证券投资咨询业务证书编号：S1 ...

Investment Rating - The industry investment rating is "Positive" (maintained) [1] Core Insights - Nvidia's performance exceeded expectations, with Q4 FY2026 revenue reaching $68.1 billion, a year-on-year increase of 73% and a quarter-on-quarter increase of approximately 19%. The data center business revenue was $62.3 billion, up 75% year-on-year and 22% quarter-on-quarter, driven by the continuous release of Blackwell and Blackwell Ultra products [5][13] - DeepSeek, in collaboration with Tsinghua University and Peking University, introduced the DualPath system to address storage bandwidth bottlenecks in LLM inference, achieving an average throughput increase of 1.96 times [6][16] - The global AI industry is expected to resonate, with significant capital expenditure increases from major players like Google and Meta, indicating a robust growth trajectory for AI-related sectors [14][18] Summary by Sections Nvidia Performance - Nvidia's Q4 FY2026 revenue was $68.1 billion, with a 73% year-on-year growth and a 19% quarter-on-quarter growth. Data center revenue reached $62.3 billion, marking a 75% year-on-year increase and a 22% quarter-on-quarter increase. The growth was primarily due to the release of Blackwell and Blackwell Ultra products, with the Grace Blackwell system contributing approximately two-thirds of the data center revenue [5][13][14] DeepSeek Innovation - DeepSeek's DualPath system addresses the KV-Cache storage bottleneck in LLM inference, significantly improving online inference throughput by 1.96 times. This innovation is seen as a milestone in AI computing, enhancing hardware utilization and facilitating the commercial application of large models [6][16] AI Industry Outlook - The report highlights a strong outlook for the AI industry, with major companies like Google and Meta increasing their capital expenditures significantly. This trend is expected to support the growth of AI computing and related technologies [14][18] Communication Data Tracking - As of December 2025, China had 4.84 million 5G base stations, with 1.204 billion 5G mobile users, reflecting an 18.74% year-on-year growth. However, 5G mobile phone shipments decreased by 27.3% year-on-year [28][30][41]

Group 1 - Company iFLYTEK is a leading player in the domestic AI sector, possessing its own Spark cognitive model with capabilities in code generation, intelligent development, research Q&A, and automated testing, and maintains a long-term deep cooperation with Huawei Cloud [1] - The model can efficiently collaborate with Huawei Cloud's CodeArts to provide AI-assisted development services across various industries including finance, government, education, industry, and healthcare [1] - The demand for enterprise-level AI coding is surging, leading to accelerated deployment in low-code development platforms, intelligent programming assistants, and industry digital solutions, with a robust income structure and growth potential [1] Group 2 - China Software is the absolute leader in the domestic software and Xinchuang industry, focusing on operating systems, databases, middleware, industry solutions, and major digital engineering services, with deep ecological binding with Huawei in various fields [2] - The comprehensive promotion of CodeArts will significantly enhance the company's software development efficiency, system iteration speed, and project delivery quality, effectively reducing R&D costs [2] - The company’s business deeply covers high-barrier industries such as finance, energy, transportation, government, and national defense, benefiting from dual dividends of policy support and industry demand [2] Group 3 - Yonyou Network is a leading vendor in the domestic enterprise cloud services and ERP sector, establishing long-term strategic cooperation with Huawei Cloud in hybrid cloud deployment, industrial internet, and digital transformation [3] - The self-developed enterprise-level AI model is fully integrated into Yonyou's BIP intelligent business platform, enhancing application development efficiency and driving high-quality growth in cloud service subscription revenue [3] - The company’s client base includes large and medium-sized enterprises, specialized and innovative companies, and growing SMEs, with increasing penetration in various industries [3] Group 4 - Oriental Guxin specializes in big data platforms, cloud computing services, industrial internet, and industry digital solutions, maintaining stable cooperation with Huawei in several areas [4] - The company provides integrated services in intelligent development, system integration, and data middle platform construction, with high business barriers and strong customer stickiness [4] - The AI coding tools' widespread adoption will significantly improve efficiency in large digital project delivery and core system iteration [4] Group 5 - Runhe Software is a core ecological co-builder of Huawei's open-source Harmony and Euler operating systems, participating deeply in ecological construction and adaptation development [5] - The company collaborates closely with Huawei Cloud in AI development tools, low-code platforms, and industry solutions, significantly enhancing application development and project delivery efficiency [5] - The widespread adoption of AI coding tools will effectively shorten project cycles, reduce R&D costs, and improve product stability [5] Group 6 - Digital China is a leading cloud management service and digital solution provider, deeply involved in Huawei's cloud ecosystem, offering a range of services including application development and digital transformation [6] - The company benefits from the growing demand for cloud management services and system integration as AI coding tools become prevalent in the enterprise sector [6] - Its comprehensive competitiveness continues to strengthen in various fields including digital government, intelligent manufacturing, and financial technology [6] Group 7 - Huasheng Tiancheng is a certified excellent ISV partner of Huawei, focusing on cloud computing, big data, and AI solutions, with deep collaboration in various areas [7] - The company’s products can seamlessly integrate with Huawei Cloud's CodeArts, expanding AI development service scenarios [7] - The widespread adoption of AI coding tools will significantly enhance delivery efficiency and product quality across key industries [7] Group 8 - Changshan Beiming, through its subsidiary Beiming Software, is a key ISV partner of Huawei, focusing on smart city, industrial internet, and financial technology [8] - The company collaborates deeply with Huawei Cloud in application development and data governance, with CodeArts enhancing software development efficiency [8] - The adoption of AI development tools will effectively reduce R&D costs and enhance product competitiveness [8] Group 9 - Tuo Wei Information is a strategic partner of Huawei across multiple core ecosystems, focusing on AI infrastructure and digital solutions [9] - The company provides AI development and digital services across various sectors, significantly improving code production efficiency [9] - The demand for AI coding in the enterprise sector continues to rise, leading to sustained business growth [9] Group 10 - Hand Information is a core partner of Huawei Cloud, focusing on enterprise digital transformation and ERP implementation services [10] - The company’s AI coding tools significantly enhance application development and system optimization efficiency [10] - The widespread promotion of CodeArts will open up long-term growth opportunities in enterprise digitalization and AI development services [10] Group 11 - Softcom Power is a leading software and digital technology service provider, deeply cooperating with Huawei Cloud to create intelligent solutions [11] - The company benefits from the widespread adoption of AI development tools, enhancing project delivery efficiency and order acquisition capabilities [11] - Its client base includes high-quality projects in finance, internet, and intelligent manufacturing [11] Group 12 - Donghua Software is a comprehensive industry solution provider, maintaining long-term cooperation with Huawei in various fields [12] - The company’s collaboration with Huawei Cloud enhances software development efficiency and project delivery quality [12] - The adoption of AI coding tools will further strengthen the company’s competitive position in the digital economy [12] Group 13 - Qiming Star is a leading enterprise in the network security sector, collaborating with Huawei in various security areas [13] - The company’s products are increasingly penetrating high-security demand industries, benefiting from the AI and security development model [13] - The demand for automated security operations and compliance code development is rapidly growing [13] Group 14 - SuperMap Software is a leading GIS platform provider, collaborating with Huawei in various fields [14] - The company’s GIS platform software is fully compatible with Huawei Cloud, enhancing industry application development efficiency [14] - The adoption of AI coding tools will accelerate the integration of GIS and AI applications [14] Group 15 - Baoxin Software is a dual leader in industrial software and IDC computing services, deeply cooperating with Huawei in various areas [15] - The company’s AI coding tools significantly enhance the efficiency and stability of industrial software development [15] - The company benefits from the growing demand for industrial AI and digital transformation [15] Group 16 - Unisplendour is a leading player in the ICT infrastructure sector, maintaining a competitive ecological partnership with Huawei [16] - The company provides integrated solutions in computing hardware, cloud platforms, and industry digital solutions [16] - The demand for AI and cloud computing is expected to drive sustained growth in the company’s performance [16] Group 17 - Shiji Information is a leader in hotel information and tourism digitalization, collaborating with Huawei in various areas [17] - The company’s AI technology enhances the efficiency of industry application development and system iteration [17] - The demand for intelligent systems in the tourism sector is expected to continue growing [17] Group 18 - Weining Health is a leader in the medical information sector, collaborating with Huawei to promote digital and intelligent upgrades [18] - The company’s products are widely used in various healthcare settings, benefiting from the growing demand for medical digitalization [18] - The adoption of AI coding tools will enhance the efficiency of medical software development [18] Group 19 - Hengsheng Electronics is a leader in financial IT, deeply cooperating with Huawei in various financial technology areas [19] - The company’s collaboration with Huawei enhances the efficiency of financial core system development [19] - The adoption of AI development tools is expected to strengthen the company’s position in the financial IT sector [19]

本公司董事会及全体董事保证本公告内容不存在任何虚假记载、误导性陈述或者重大遗漏，并对其内容 的真实性、准确性和完整性依法承担法律责任。 本公告所载中钢洛耐科技股份有限公司（以下简称"公司"）2025年度主要财务数据为初步核算的合并报 表数据，未经会计师事务所审计，具体数据以公司2025年年度报告为准，提请投资者注意投资风险。 一、2025年度主要财务数据和指标 单位：万元 ■ 注：1.本报告期初数同法定披露的上年年末数。 2.以上财务数据及指标以合并报表数据填列，但未经审计，最终结果以公司2025年年度报告为准。 证券代码：688119 证券简称：中钢洛耐 公告编号：2026-008 中钢洛耐科技股份有限公司 2025年度业绩快报公告 3.以上指标及数据如有尾差，为四舍五入所致。 二、经营业绩和财务状况情况说明 （一）报告期的经营情况、财务状况及影响经营业绩的主要因素 1. 经营情况 报告期内，公司实现营业收入199,693.81万元，同比下降8.72%；实现归属于母公司所有者的净利 润-14,973.36万元，同比下降153.37%；实现归属于母公司所有者的扣除非经常性损益的净利 润-21,803.76万元 ...

Core Viewpoint - On February 23, a total of 34 listed companies had their restricted shares unlocked, with a total market value of approximately 19.007 billion yuan [1] Group 1: Restricted Share Unlocking Details - Luzhou Laojiao (000568) had 2.0425 million shares unlocked under equity incentive restrictions - AVIC Xi'an Aircraft Industry (000768) had 4.3606 million shares unlocked under equity incentive restrictions - Hubei Energy (000883) had 19.2779 million shares unlocked under equity incentive restrictions - Jining Pharmaceutical (000919) had 1.92 million shares unlocked under equity incentive restrictions - Guangji Pharmaceutical (000952) had 2.5209 million shares unlocked under equity incentive restrictions - China Software (600536) had 57,200 shares unlocked under equity incentive restrictions - Xinhua Medical (600587) had 1.7845 million shares unlocked under equity incentive restrictions - Baoxin Software (600845) had 10.2578 million shares unlocked under equity incentive restrictions - China Railway (601390) had 55.9338 million shares unlocked under equity incentive restrictions - China Communications Construction (601800) had 5.593 million shares unlocked under equity incentive restrictions - StarNet Ruijie (002396) had 2.8342 million shares unlocked under equity incentive restrictions - Lopuskin (002333) had 22.3212 million shares unlocked under A-share issuance to legal persons - Wanbangda (300055) had 33.6538 million shares unlocked under A-share issuance to legal persons - Hangyang Co., Ltd. (002430) had 5.2049 million shares unlocked under equity incentive restrictions - Taijia Co., Ltd. (002843) had 949,600 shares unlocked under equity incentive restrictions - Nanda Optoelectronics (300346) had 130,000 shares unlocked under equity incentive restrictions - Anhui Natural Gas (603689) had 2.5064 million shares unlocked under equity incentive restrictions - Zhongyan Dadi (003001) had 97,200 shares unlocked under equity incentive restrictions - Yuanxiang New Materials (301300) had 30.2983 million shares unlocked with extended lock-up period - Yidao Information (001314) had 88.6187 million shares unlocked under pre-issuance restrictions - Tongda Electric (603390) had 579,500 shares unlocked under equity incentive restrictions - Yangzhou Jinqiao (603307) had 50 million shares unlocked under pre-issuance restrictions - Aili Home (603221) had 2.29 million shares unlocked under equity incentive restrictions - Zhili Fang (301312) had 333,900 shares unlocked under equity incentive restrictions - Kuntai Co., Ltd. (001260) had 83.25 million shares unlocked under pre-issuance restrictions - Entropy Technology (301330) had 92.5223 million shares unlocked with extended lock-up period - Yatong Precision (603190) had 596,100 shares unlocked under pre-issuance restrictions - Sanwang Communication (688618) had 87,400 shares unlocked - Longxun Co., Ltd. (688486) had 30.6312 million shares unlocked - Dize Pharmaceutical (688192) had 991,100 shares unlocked - Haohan Depth (688292) had 57.5177 million shares unlocked - Haizheng Biomaterials (688203) had 78.5601 million shares unlocked - Diaomicro (688381) had 55.9536 million shares unlocked - Zhongrun Optics (688307) had 29.8507 million shares unlocked [1]

Core Insights - The industrial software industry is at a critical juncture, driven by the need for innovation and the urgency of development, particularly in the context of China's economic transformation and the push for self-sufficiency in core technologies [1][4][17] - The market for industrial software in China is projected to approach 300 billion by 2024, indicating robust growth despite challenges such as a hollowing out of core technologies and imbalanced industrial structures [1][17] - The evolution of industrial software is characterized by a shift from tools to systems, platforms, and eventually to a genetic level, focusing on data value and efficiency [2][48] Industry Dynamics - The industrial software market is large, with significant opportunities for companies to target head, mid, and long-tail customers, each with distinct needs and potential for revenue generation [2][50] - The core evolution path of industrial software is from tools to systems, then to platforms, and finally to genetic integration, emphasizing the importance of data flow and value efficiency [48][49] - The industry faces systemic challenges, including a lack of foundational technologies and difficulties in integrating into supply chains, which hinder the development of domestic industrial software [26][17] Product Development Trends - Current industrial software primarily focuses on product sales, but there is a shift towards selling "intelligence" as data assets are accumulated and utilized effectively [3][52] - The integration of AI and large models is expected to enhance the capabilities of industrial software, particularly in areas such as code generation and human-computer interaction [43][52] - Future products are anticipated to evolve into "digital engineers," capable of autonomous task execution and intelligent interaction, moving beyond traditional software tools [52] Market Characteristics - The industrial software market is characterized by a high degree of fragmentation, with varying levels of domestic replacement and integration needs across different customer segments [14][50] - The demand for industrial software is driven by practical applications in enterprises, government initiatives, and the integration of research institutions, each with unique procurement focuses [14][16] - The market is currently experiencing a transition from subsidy-driven growth to a more market-oriented approach, emphasizing the importance of innovation and self-sufficiency [19][12] Challenges and Opportunities - The industry is grappling with significant challenges, including a lack of core technologies in research and design software, which is critical for engineering optimization [23][17] - Companies are encouraged to leverage policy incentives and market opportunities to enhance their technological capabilities and address the "bottleneck" issues in core components [17][26] - The evolution of industrial software is expected to create new revenue streams through data value services, as companies adapt to the changing landscape of technology and market demands [30][52]

Group 1 - The Shanghai stock market showed narrow fluctuations while the Shenzhen market experienced upward movement, with the computer sector rising significantly [1] - The Computer ETF (159998) saw a 2.23% increase during intraday trading, with a transaction volume of 46.316 million yuan, and several component stocks, including Xiechuang Data and Wangsu Technology, rose over 5% [1] - The Computer ETF (159998) has attracted a net inflow of 281 million yuan over the last 30 trading days, making it the largest fund in its category with a total size of 2.806 billion yuan as of February 11, 2026 [1] Group 2 - The State Council recently emphasized the need to advance AI technology innovation and application, while the Ministry of Industry and Information Technology and other departments released opinions to enhance the support capacity of the information and communication industry for low-altitude infrastructure development [2] - Reports indicate that overseas cloud service providers are significantly increasing capital expenditures and adjusting cloud service prices, reflecting a sustained high demand for global AI computing power [2] - According to招商证券, the AI arms race is intensifying, with major tech giants like Microsoft and Google continuing to increase capital investments, suggesting that investors should focus on high-barrier software and cloud service sectors that are likely to remain competitive amid the AI wave [2]

Core Insights - The industrial software industry is at a critical juncture, driven by the need for innovation and the urgency of development, particularly in the context of China's economic transformation and the push for self-sufficiency in core technologies [1][4][17] - The market for industrial software in China is projected to approach 300 billion yuan by 2024, indicating robust growth despite challenges such as a hollowing out of core technologies and imbalanced industrial structures [1][17] - The evolution of industrial software is characterized by a shift from tools to systems, platforms, and eventually to a genetic level, focusing on data value and efficiency [2][48] Industry Dynamics - The industrial software market is large, with significant opportunities for companies to target different customer segments: head clients with strong demand for domestic alternatives, mid-tier clients forming communities, and long-tail clients expanding revenue potential [2][50] - The development of industrial software is influenced by policy support, technological advancements, and market demand, with a notable shift towards integrating AI and data-driven solutions [9][12][14] Product Evolution - Current industrial software primarily involves purchasing products, but the future will see a transition towards selling "intelligence," exemplified by the emergence of industrial intelligent agents [3][52] - The focus on data accumulation and utilization will drive the transformation of industrial software into platforms that offer integrated solutions and services [48][52] Challenges and Opportunities - The industry faces significant challenges, particularly in the R&D design sector, where a lack of foundational technologies and real-world testing scenarios hampers progress [17][23][26] - Companies must navigate a complex landscape of technical, ecological, and commercial challenges, with a systemic approach required to overcome these hurdles [26][39] Market Characteristics - The industrial software market is characterized by a high degree of specialization, with significant barriers to entry and a focus on high-value data services [20][30] - The market is currently experiencing a shift towards platformization and the integration of AI, which is expected to enhance operational efficiency and drive innovation [48][52] Future Directions - The next phase of industrial software development will emphasize platformization and the internalization of industrial knowledge into code, leading to the creation of digital engineers capable of autonomous task execution [48][52] - Companies are encouraged to leverage policy advantages and technological breakthroughs to enhance their competitive positioning in the market [50][52]

Core Viewpoint - The data center industry is undergoing a profound restructuring driven by advancements in artificial intelligence technology and the ongoing national computing power strategy, shifting from a "real estate logic" centered on cabinet rental to a "computing power logic" focused on computing power delivery [1][4][5]. Group 1: Industry Reconstruction - The underlying logic of the industry is fundamentally changing, with data centers evolving from traditional Internet Data Centers (IDCs) to AI Data Centers (AIDCs), which are fundamentally different entities [1][18]. - AIDCs focus on high-density GPU computing clusters rather than cabinet quantity and rack rate, necessitating systemic upgrades in power supply, cooling technology, and network architecture [1][3]. - The demand for computing power is becoming the core engine driving industry growth, with China's intelligent computing power expected to reach approximately 10,373 EFLOPS by 2025, growing at a rate significantly higher than traditional cloud computing [1][22][26]. Group 2: Key Factors - Electricity is defined as the "first principle" of data centers, with grid access capacity becoming the decisive factor for new projects due to long expansion cycles and complex approvals [2][33]. - Liquid cooling technology has transitioned from an optional choice to a necessity, with its penetration rate in new AIDC projects expected to increase significantly, while older air-cooled data centers face accelerated asset depreciation [2][37]. - The demand for low-latency networks driven by AI inference is reshaping the value of data center locations, with high-grade data centers in major cities like Beijing, Shanghai, and Shenzhen maintaining premium pricing [2][43]. Group 3: Industry Chain Analysis - The AI wave is driving a collaborative evolution across the upstream hardware, midstream operations, and downstream applications, with high technical barriers and significant demand elasticity in the upstream segment [3][48]. - The future winners in the industry will be "computing power service providers" that efficiently convert underlying computing power into customer business value, shifting profit functions from "cabinet quantity × rental rate" to "deliverable computing power × energy efficiency × service added value" [3][74]. - Key considerations for evaluating data center projects and companies include real electricity access capability, liquid cooling deployment conditions, service focus on training or inference scenarios, and whether the business model is cabinet rental or computing power sales [3][81]. Group 4: Market Scale and Growth - The transition from IDC to AIDC is reshaping the growth curve of computing power demand, with AI computing power expected to grow at an annual rate of 50% [16][20]. - By 2028, China's intelligent computing power is projected to achieve approximately 168% growth from 2025 levels, indicating new development opportunities for data centers [22][26]. - The demand structure is shifting from primarily training to real-time inference scenarios, which is reshaping the spatial distribution and profitability models of data centers [1][26].