证券研究报告 计算机 报告日期：2026 年 03 月 23 日 Minimax 发布 M2.7，阿里云部分产品提价 ——计算机行业周报 华龙证券研究所 投资评级：推荐（维持） 最近一年走势 执业证书编号：S0230526030001 邮箱：zhulx@hlzq.com 《政府工作报告再提"人工智能+"， 2026.03.09 AI 基建投资机会—计算机行业周报》 2026.03.02 《北美云服务局部涨价，AI 应用按下加 速键—计算机行业周报》2026.02.02 请认真阅读文后免责条款 摘要： 执业证书编号：S0230523080004 邮箱：sunbw@hlzq.com 分析师：孙伯文 MiniMax 发布 M2.7，首次实现模型自我进化能力。MiniMax 于 2026 年 3 月 18 日发布了新一代 Agent 旗舰大模型 M2.7，核心的 突破在于首次实现了"模型自我进化" 。M2.7 能够通过构建复 杂 Agent Harness，深度参与自身的训练、优化与迭代流程，例如 自动执行超过 100 轮"分析-改进-验证"的闭环，最终通过优化 在内部评测集上实现约 30%的效果提升，并能够在 RL ...

Investment Rating - The report maintains a "Recommended" rating for the computer industry [1] Core Insights - The demand for AI inference is continuously growing, driven by a significant increase in tokens usage, with a reported increase from 1.62 trillion tokens in March 2025 to 18 trillion tokens in March 2026, representing a growth of approximately 1011% [6][11] - Cloud service providers are raising prices for AI computing products due to rising hardware costs and increased demand for AI services, with price hikes ranging from 5% to 34% for various services [8][33] - The report highlights that the expansion of AI capabilities is expected to lead to a substantial increase in the number of active agents and token consumption, with annual token consumption projected to grow from 0.0005 PetaTokens in 2025 to 152,667 PetaTokens by 2030, reflecting a compound annual growth rate of 3418% [9][38] Summary by Sections Recent Trends - The computer industry has shown a relative performance decline of -10.1% over the past month, while the Shanghai Composite Index has remained stable [5] Price Adjustments - Major cloud providers like Alibaba Cloud and Baidu Cloud are increasing prices for AI computing services due to rising hardware procurement costs, with specific increases of up to 34% for Alibaba's AI computing services and 30% for Baidu's [8][27] Token Consumption Growth - The report indicates a significant rise in token consumption, with OpenClaw being a major contributor, achieving a monthly token call volume of 13.4 trillion as of March 2026 [17] - The share of domestic models in token consumption is increasing, with domestic models accounting for approximately 53.4% of the top models' total token calls as of March 2026 [14] Future Outlook - The report anticipates that the demand for AI computing and tokens will continue to rise, benefiting cloud service providers and related upstream and downstream companies [10][44] - The ongoing increase in hardware costs and the demand for AI services suggest that price adjustments in the cloud computing sector may persist [9][33]

风险提示：宏观经济下行；股市波动率上升；金融监管力度抬升超预期。 该基金属于股票型基金，预期风险收益水平较高；历史表现不代表未来。 2026 年 03 月 21 日 证券分析师 于明明 执业证书：S0600525120002 yumm@dwzq.com.cn 证券研究报告·金融工程·金工专题报告 金工专题报告 20260321 新华中证云计算 50ETF：AI 时代的算力配置 核心工具 证券分析师 孙石 执业证书：S0600526020001 suns@dwzq.com.cn 相关研究 《 市场情绪温和修复，大盘波动仍需 警惕》 2026-03-15 《华安国证石油天然气 ETF 正在发 行：一键布局油气产业链》 2026-03-12 东吴证券研究所 1 / 17 请务必阅读正文之后的免责声明部分 [Table_Tag] [Table_Summary] 作为人工智能时代的关键基础设施，云计算是人工智能深度赋能实体行 业的必要基座，也是加快形成新质生产力，推动我国数字经济走向新发 展阶段的重要助力。 中证云计算 50 指数（指数代码：931469，以下简称"云计算 50"）选取 50 只业务涉及提供基础设施即服 ...

Investment Rating - The report does not explicitly state an investment rating for the cloud computing industry or the specific ETFs mentioned. Core Insights - The AI technology innovation cycle is divided into two halves: the first half focuses on model and method innovation, while the second half emphasizes problem definition and the integration of AI into real-world applications, with a focus on application value [4][7]. - The CSI Cloud Computing 50 Index comprehensively covers the entire cloud computing industry chain, balancing hardware and software, and aims to capture both AI computing infrastructure benefits and software growth opportunities [4][9]. - The report highlights that the cloud is a core component in the second half of the AI technology cycle, where the focus shifts from training to inference, making cloud computing essential for AI applications [7][79]. Summary by Sections Cloud Computing Overview - Cloud computing is defined as the centralized management and dynamic allocation of resources via the internet, likened to utilities like water and electricity [18]. - The global cloud computing market reached a size of 586.4 billion yuan in 2023, with a growth rate of 19.4%, and is expected to exceed one trillion dollars by 2027 [20]. AI's Impact on Cloud Computing - AI is creating new demands in the IaaS and MaaS layers, particularly for large model calls and custom model needs, leading to a shift in cloud service architectures [8][82]. - The business model for cloud computing is anticipated to transition from resource pricing to value pricing, which could enhance gross margins for cloud resources in the long term [8][85]. CSI Cloud Computing 50 Index - The index includes companies providing IaaS, PaaS, and SaaS, selected based on liquidity, growth potential, and market capitalization, ensuring a balanced representation of the cloud computing sector [9][10]. - The index has shown strong performance compared to mainstream indices, indicating its long-term investment value [9]. New Investment Opportunities - The report emphasizes the growth potential in the AI large model solutions market and the MaaS market, both expected to experience rapid growth in the coming years [87][88]. - The integration of GPU, cloud, and AI is seen as a significant growth driver, allowing cloud providers to differentiate their services and enhance their competitive edge [8][94].

Investment Rating - The report maintains a "Buy" rating for the computer industry [2]. Core Insights - OpenClaw is an open-source AI Agent framework that enhances large language models (LLMs) from mere conversational tools to autonomous execution systems, enabling deep automation of tasks on personal devices [7][14]. - The report highlights that OpenClaw can significantly improve work efficiency, with a clear growth potential as performance and security measures continue to evolve [64]. - The industry is currently focused on enhancing product usability and strengthening security measures, leading to increased competition in standard-setting and ecosystem development [64]. Summary by Sections OpenClaw Features and Applications - OpenClaw integrates with multiple messaging platforms and supports over 600 practical skills across various scenarios, allowing users to automate tasks like file management and scheduling [14][21]. - It features a persistent memory system that retains knowledge and context, enhancing the agent's ability to perform tasks over time [25][26]. - The framework supports both full-access and sandbox modes for system operations, balancing functionality and security [30]. OpenClaw Capability Boundaries and Future Outlook - OpenClaw has room for improvement in security, cost management, and engineering optimization, but it is already positioned to significantly enhance work efficiency [64]. - The report identifies key investment opportunities in AI hardware, model development, software consulting, and data center operations, suggesting companies like Cambricon, Inspur, and Alibaba as potential investments [7][64]. Investment Recommendations - The report suggests focusing on companies in various sectors: - AI hardware: Cambricon, Inspur, Unisoc - Model development: Zhiyuan, MiniMax, Alibaba, Tencent - Software consulting: Hand Information - AI foundational software: Star Ring Technology, Zhuoyi Information, Paradigm Intelligence - Data center operations: Wangsu Technology, Baoxin Software, YunSai Zhilian [7][8].

Group 1 - The explosion of AIGC is driving the demand for high-power chips, leading to liquid cooling becoming the preferred method for heat dissipation as traditional air cooling approaches physical limits [1] - Single-phase cold plate liquid cooling accounts for over 90% of liquid cooling applications in data centers, indicating high technological maturity [2] - The rapid growth of new energy vehicle production and sales is significantly increasing the demand for battery liquid cooling plates [4] Group 2 - The competition landscape for fluorinated refrigerants is optimizing, with domestic alternatives having substantial room for growth, particularly in electronic fluorinated liquids and traditional refrigerant replacements [3] - Major domestic companies benefiting from the shift to liquid cooling include Cooler Master, Vertiv, and others, with significant demand expected for upstream materials like high-purity copper and aluminum alloys [1][2] - The market for global power battery liquid cooling plates is projected to reach 14.5 billion yuan by 2025, with the domestic market expected to reach 9.6 billion yuan [4]

Investment Rating - The report maintains a positive investment rating for the thermal management materials industry [3]. Core Insights - The rapid growth of high-power chips due to AIGC has led to a significant increase in thermal flow density, making liquid cooling the preferred solution for high-power chip cooling [6][23]. - The demand for liquid cooling solutions is expected to rise, driven by advancements in AI data centers and the increasing power requirements of data center AI cabinets [6][50]. - The report identifies three main investment opportunities in liquid cooling: high-power chips from NVIDIA, liquid cooling in high-power data centers, and thermal management for electric vehicle batteries and energy storage [6]. Summary by Sections Current Mainstream Cooling Solutions - Cooling methods are categorized into active and passive cooling, with active cooling including liquid cooling and air cooling [8][9]. - Liquid cooling has become the mainstream solution for high-performance scenarios, particularly in AI servers and data centers [8][9]. Thermal Management Industry Chain - The thermal management industry chain includes upstream raw materials, midstream manufacturing, and downstream applications, with the midstream segment being the most competitive [14][18]. - Key raw materials include high-purity copper and aluminum alloys, which are expected to see increased demand due to the rise in liquid cooling applications [6][11]. Domestic and Foreign Competition - The report highlights the competitive landscape, noting that foreign companies dominate high-end thermal management materials, while domestic companies are catching up and have significant room for growth [19][22]. Liquid Cooling Market Growth - The global market for liquid cooling plates in power batteries is projected to reach 14.5 billion yuan by 2025, with domestic market size expected to reach 9.6 billion yuan [6]. - The growth of energy storage batteries is also anticipated to drive demand for liquid cooling solutions [6]. Key Companies and Their Prospects - Major companies benefiting from the liquid cooling trend include Cooler Master, Vertiv, and domestic firms like Yingwei and Highlan [6][42]. - Companies like Jetcool are developing innovative solutions for high-power chips, which are expected to enhance overall efficiency in AI clusters [40]. Future Trends and Developments - The report emphasizes the importance of liquid cooling in meeting the energy efficiency requirements set by regulatory bodies for data centers [46][50]. - The shift towards liquid cooling is driven by the need to manage increasing thermal loads effectively, as traditional air cooling approaches reach their limits [50][51].

Investment Rating - The report maintains a positive investment rating for the thermal management materials industry [3]. Core Insights - The rapid growth of high-power chips due to AIGC has led to a significant increase in thermal flow density, making liquid cooling the preferred solution for high-power chip cooling [6][23]. - The demand for liquid cooling solutions is expected to rise, driven by advancements in AI, data centers, and electric vehicles [6][20]. - The report identifies three main investment opportunities in liquid cooling: high-power chips, data centers, and thermal management for electric vehicle batteries [6]. Summary by Sections Current Mainstream Cooling Solutions - Cooling methods are categorized into active and passive cooling, with active cooling including liquid cooling and air cooling [8][9]. - Liquid cooling has become the mainstream solution for high-performance scenarios, while air cooling is suitable for low-power applications [8][9]. Thermal Management Industry Chain - The thermal management industry chain includes upstream raw materials, midstream manufacturing, and downstream applications [14][18]. - Key upstream materials include high-purity metals and cooling fluids, while midstream manufacturers are expected to benefit from increased demand for cooling solutions [11][14]. Domestic and Foreign Competition - The report highlights the competitive landscape, noting that foreign companies dominate high-end markets while domestic companies are catching up [7][19]. - Domestic companies like Juhua and Sanmei are positioned to benefit from the exit of 3M from the fluorinated refrigerants market [20][21]. Liquid Cooling Market Growth - The global market for liquid cooling plates in power batteries is projected to reach 14.5 billion yuan by 2025, with domestic market size expected to reach 9.6 billion yuan [20]. - The growth of energy storage batteries is also driving demand for liquid cooling solutions [20]. Key Players and Products - Major players in the thermal management materials industry include Juhua, Sanmei, and other domestic companies that are expected to benefit from the growing market [20][21][22]. - The report provides a comparison of leading thermal management companies and their core products, emphasizing their positions in the market [22]. Future Trends - The report anticipates that the demand for liquid cooling will continue to grow, particularly in data centers and electric vehicles, as traditional cooling methods become insufficient [6][50]. - The increasing power density in data centers necessitates the adoption of liquid cooling solutions to improve energy efficiency [50][51].

Core Viewpoint - OpenClaw has gained significant attention in the tech and capital markets, with its latest version introducing advanced features and becoming a leading open-source project on GitHub, while the "lobster farming" concept related to AI is gaining traction in the A-share market despite most companies not yet seeing substantial business growth from it [4][5][8]. Group 1: OpenClaw's Features and Innovations - OpenClaw has five core breakthroughs compared to previous AI products like AutoGPT and GPT-4o, including a layered architecture that positions it as a self-hosted AI gateway and a file-driven design for managing AI behavior [6]. - The execution capability of OpenClaw has evolved from passive response to proactive execution, allowing it to run autonomously 24/7 without human intervention [6]. - OpenClaw features a dual-mode memory architecture that combines short-term and long-term memory, enhancing its intelligence over time while ensuring data privacy through local storage [7]. Group 2: Market Impact and Trends - The rise of OpenClaw is creating a "lobster farming" trend in the A-share market, with companies in the cloud deployment and ecosystem services sectors being the most direct beneficiaries [8]. - A surge in demand for local computing power is expected as OpenClaw promotes the shift of AI applications from cloud to edge and terminal devices, benefiting hardware manufacturers like personal computers and private servers [8]. - The A-share market has seen a notable increase in stocks related to AI and computing power, with several companies experiencing significant stock price surges [9]. Group 3: Cloud Service Providers and Business Adaptation - Cloud service providers are positioned as the primary beneficiaries of the OpenClaw trend, with many companies already disclosing their business layouts and technological adaptations related to OpenClaw [10]. - Companies like UCloud have quickly implemented OpenClaw-related services, enabling users to deploy AI assistants efficiently through cloud solutions [10][11]. - Other cloud service providers, such as QingCloud and Wangsu Technology, are also adapting their platforms to support OpenClaw, indicating a rapid industry response [11]. Group 4: Enterprise Applications and Future Prospects - The enterprise application landscape is crucial for scaling revenue and building long-term competitiveness, with companies focusing on integrating OpenClaw into their AI solutions [13]. - Han's Information has launched an AI application aggregation platform that incorporates OpenClaw, aiming to provide a comprehensive enterprise-level AI solution [13]. - The demand for AI applications in various sectors, including finance and automation, is expected to grow as companies leverage OpenClaw's capabilities [14]. Group 5: Hardware Adaptation and Challenges - Domestic hardware manufacturers are actively working on full-stack adaptations for OpenClaw, which is essential for achieving autonomous and secure AI operations [15]. - Companies like Loongson and Rockchip have successfully adapted their hardware to run OpenClaw, although the immediate business impact remains to be seen [15][16]. - The overall market for AI-related hardware is evolving, with companies like Inspur launching AI servers optimized for OpenClaw, indicating a growing demand for high-performance computing solutions [16].

Core Viewpoint - The article discusses the surge in interest and investment in AI-related stocks following the rise of the OpenClaw AI framework, which has become a significant player in the AI agent market, leading to a rapid influx of capital into related sectors such as cloud computing, computing power leasing, and AI applications [3][4]. Group 1: OpenClaw Framework - OpenClaw has become the most downloaded open-source AI framework, capable of executing complex tasks and providing a complete loop of "cognition, execution, and memory" [4][5]. - The framework allows for local deployment on personal computers, making it accessible for users to install and utilize [5]. - The technology has led to a significant market response, with related stocks experiencing substantial gains, including a 20% limit up for companies like 优刻得 (688158.SH) and others [4][5]. Group 2: Investment Trends - The investment focus is primarily on four key areas: cloud deployment, computing infrastructure, domestic AI chips, and AI applications [6]. - Companies like 优刻得 and 青云科技 are positioned as key beneficiaries in the cloud deployment sector, with major cloud providers like Tencent Cloud and Alibaba Cloud supporting OpenClaw [6]. - The demand for computing power is expected to rise due to increased token consumption driven by the complexity of AI agents, benefiting domestic computing infrastructure providers [6]. Group 3: Market Reactions - Following the announcement of OpenClaw, there was a notable increase in investor inquiries on platforms like 互动易, with over 50 questions focusing on deployment status and business impacts [9][10]. - Some companies have confirmed their deployment of OpenClaw, with 优刻得 stating it was among the first to offer cloud deployment solutions [10]. - Other companies, such as 中科创达, have reported successful integration of OpenClaw into their platforms, enhancing their product offerings [10]. Group 4: Security Concerns - The deployment of OpenClaw raises potential security risks due to its ambiguous trust boundaries, which could lead to information leaks and system control issues [11]. - Companies like 北信源 have indicated their capability to provide solutions to mitigate these risks, while others are still assessing their involvement with OpenClaw [11].