Investment Rating - The industry investment rating is "Overweight" [6] Core Views - The report highlights that the server CPU market is experiencing supply shortages due to increased demand driven by AI advancements and cloud computing needs. The delivery cycle for some CPU models may extend up to 6 months [1] - The rapid development of Agentic AI is expected to significantly increase the demand for CPUs, as these systems require more computational power for tasks such as database retrieval and external tool calls [3] - The report emphasizes the importance of CPU in AI systems, predicting that the number of tasks executed by agents will grow from 44 billion in 2025 to 415 trillion by 2030, representing a compound annual growth rate of 524% [3] Summary by Sections Demand 1: Replacement Cycle and AI Demand - The general server market is currently in a 3-5 year replacement cycle, with significant growth in server procurement driven by the rise of remote work and online services during 2020-2021. The global shipment of general servers is expected to grow by 13% in 2024 and 8% in 2025, supporting a robust CPU market [2] Demand 2: Agentic AI Driving CPU Growth - Agentic AI, which integrates large language models and decision orchestration, is expected to create a new wave of demand for CPUs. The report cites a study indicating that CPU performance may become a bottleneck in Agentic AI systems, with tool processing delays accounting for up to 90.6% of total latency [3] Supply: Insufficient Advanced Process Capacity - Intel is facing supply shortages due to inadequate capacity planning for advanced processes, with shortages expected to persist until 2026. The company is prioritizing server CPU supply, but adjustments will not be completed until the end of Q1 2026 [4] Key Recommendations - The report recommends stocks such as Haiguang Information (688041 CH) with a target price of 291.00 and Lanke Technology (688008 CH) with a target price of 178.80, both rated as "Buy" [8][19]

Core Insights - Zhipu AI has launched and open-sourced GLM-5, with multiple domestic chip manufacturers completing Day-0 adaptation for the model, ensuring compatibility and stable operation from the first day of release [1][2] Group 1: GLM-5 Launch and Adaptation - Zhipu AI's GLM-5 has been adapted by major domestic chip platforms including Huawei Ascend, Moore Threads, Cambricon, Kunlun, Muxi, Suiruan, and Haiguang, achieving high throughput and low latency on domestic computing clusters [2] - Haiguang's DCU team collaborated closely with Zhipu AI to optimize the underlying operators and hardware acceleration, enabling GLM-5 to run stably on Haiguang DCU with high throughput and low latency [1] - Moore Threads completed full-process adaptation and verification on its flagship AI training and inference GPU MTT S5000, leveraging its MUSA architecture to enhance model inference performance while reducing memory usage [1] Group 2: Model Performance and Features - GLM-5 has expanded its parameter scale from 355 billion (activated 32 billion) to 744 billion (activated 40 billion) and increased pre-training data from 23 terabytes to 28.5 terabytes, significantly enhancing its general intelligence capabilities [2] - The model incorporates a new "Slime" asynchronous reinforcement learning framework, supporting larger model scales and more complex tasks, and utilizes DeepSeek Sparse Attention to maintain long text performance while reducing deployment costs and improving token efficiency [2] - A month prior, Zhipu AI released the GLM-Image model, which employs a hybrid architecture of autoregressive and diffusion decoders, marking a significant exploration in cognitive generative technology [2]

Group 1 - The semiconductor ETF (159813) opened with a gain of 0.57%, priced at 1.225 yuan [1] - Key holdings in the semiconductor ETF include: - SMIC up 0.47% - Haiguang Information up 1.96% - Cambrian up 0.10% - North Huachuang up 0.53% - Zhaoyi Innovation up 2.08% - Zhongwei Company up 0.62% - Lanke Technology up 1.05% - OmniVision up 0.03% - Tuojing Technology up 0.89% - Changdian Technology up 0.67% [1] - The performance benchmark for the semiconductor ETF is the National Securities Semiconductor Chip Index return, managed by Penghua Fund Management Co., Ltd. [1] Group 2 - Since its establishment on April 17, 2020, the semiconductor ETF has achieved a return of 82.59% [1] - The ETF has experienced a slight decline of 0.02% over the past month [1]

Investment Rating - The report maintains a "Positive" investment rating for the industry [7] Core Insights - The computer sector experienced a significant decline of 3.53% last week, ranking 29th among major industries, with a trading volume accounting for 6.50% of the total market [2][4] - The recent surge in demand for AI applications has highlighted a shortage of computing power, prompting major AI companies like Alibaba to increase their procurement of computing resources [6][45] - Key recommendations include focusing on domestic computing chip manufacturers, particularly industry leaders like Cambricon and Haiguang Information, as well as companies involved in computing power leasing and IDC [6][45] Summary by Sections Market Performance - The computer sector's performance was notably poor, with a 3.53% drop, while the overall market index fell by 1.27% [4][14] - Active sectors included cybersecurity and financial IT, with notable stock performances from companies like High凌信息 and 御银股份 [16] Key Developments - ByteDance launched its latest video model, Seedance 2.0, which supports video generation from text and images, marking a significant advancement in AI video technology [19][21] - Breakthroughs in quantum networking were achieved by researchers at the University of Science and Technology of China, enabling long-distance quantum communication [26][35] - The initiation of national standards for intelligent connected infrastructure is expected to accelerate the development of smart transportation systems [36][43] Investment Opportunities - The report emphasizes the investment potential in computing infrastructure due to the recent surge in demand highlighted by the 千问 app's promotional activities, which led to system outages due to overwhelming user traffic [6][45] - The ongoing competition among major tech firms during the Spring Festival is expected to further drive the demand for computing resources [49][53]

Core Viewpoint - The semiconductor industry chain places chip design at the top, recognized for its high R&D investment, high gross margins, and light asset operation, making it the segment with the highest added value in the industry. The E Fund Sci-Tech Chip Design ETF (589030) serves as a standardized observation tool to effectively monitor fluctuations in this segment [1]. Group 1: Index Characteristics - The E Fund Sci-Tech Chip Design ETF (589030) closely tracks the Shanghai Stock Exchange Sci-Tech Board Chip Design Theme Index, which has a high "purity" as it exclusively selects listed companies in the semiconductor design sector from the Sci-Tech Board, excluding heavy asset wafer manufacturing and backend testing [2]. - Digital chip design and analog chip design are the top two weighted industries in the index, together accounting for over 90%, allowing the index to accurately reflect the overall prosperity of the chip design segment without being affected by manufacturing capital expenditure fluctuations [2]. Group 2: Component Stock Overview - The ETF's holdings include several core enterprises in the domestic semiconductor field, with the top ten component stocks being: - Lanqi Technology - Haiguang Information - Chipone Technology - Cambricon - Baiwei Storage - Ruichuang Micro-Nano - Dongxin Technology - Loongson Technology - Zhenlei Technology - Fudan Microelectronics [3]. - The business distribution focuses on three main areas: - Computing and calculation chips, such as Haiguang Information and Cambricon, which are crucial for domestic computing infrastructure [4]. - Memory interface and storage logic, including Lanqi Technology (memory interface chips) and Baiwei Storage (storage devices) [5]. - Analog chips, such as Ruichuang Micro-Nano (infrared detectors) and Zhenlei Technology (RF chips), applicable in various industrial and consumer electronics scenarios [6]. Group 3: Market Insights - Recent reports from major brokerages highlight structural recovery opportunities in the semiconductor industry, with the chip design segment identified as a direction where performance elasticity is expected to be realized first [7]. - In the storage sector, Guosheng Securities notes that under the backdrop of original manufacturers reducing production and supply-demand tightness, module manufacturers with stable, high-quality particle supply are likely to benefit significantly from the AI era's supply-demand tightness, price increases, and domestic production upgrades [8]. - CITIC Securities emphasizes that "self-control and AI computing power" will be the absolute main line throughout 2026, indicating that the domestic computing power industry chain is transitioning from "point breakthroughs to systematic reconstruction" [9]. Group 4: Industry Tool Attributes - For observers focused on semiconductor industry logic, tracking the performance of the E Fund Sci-Tech Chip Design ETF (589030) provides a direct reflection of market recognition of valuation fluctuations in the chip design segment. This index tool, focusing on the upstream high-value-added segment, offers a precise "slice" for analyzing the trends of hard technology on the Sci-Tech Board [11]. - As of February 11, 2026, the index achieved a 69.47% increase over the statistical period, significantly reflecting the high elasticity characteristics of the chip design segment during industry upcycles [12].

Investment Rating - The report maintains a "Positive" investment rating for the industry [8] Core Insights - The computer sector experienced a significant decline of 3.53% last week, ranking 29th among major industries, with a trading volume accounting for 6.50% of the total market [2][5][16] - The recent surge in demand for AI applications has highlighted a growing gap in computing power, prompting major AI companies like Alibaba to increase their procurement of computing resources [7][48] - Key recommendations include focusing on domestic computing chip manufacturers, particularly industry leaders like Cambricon and Haiguang Information, as well as companies involved in computing power leasing and IDC [7][48] Summary by Sections Market Performance - The computer sector's performance was notably poor, with a 3.53% drop, while the overall market index fell by 1.27% [5][16] - Cybersecurity and financial IT sectors showed activity, with notable stock performances from companies like High Ling Information and Yu Yin Co., Ltd. [18] Key Developments - ByteDance launched its latest video model, Seedance 2.0, which supports video generation from text and images, marking a significant advancement in AI video technology [21][23] - Breakthroughs in scalable quantum networks were achieved by researchers at the University of Science and Technology of China, enhancing the potential for long-distance quantum communication [26][34] - The initiation of national standards for intelligent connected infrastructure is expected to accelerate the development of smart transportation systems [37][43] Investment Opportunities - The report emphasizes investment opportunities in computing infrastructure, particularly in response to the recent server outages caused by high demand during promotional events [7][48] - The anticipated increase in computing power demand during the Spring Festival period is expected to drive further investments in computing resources by major tech companies [51][56]

Group 1 - The core point of the article is the establishment of a new subsidiary by Haiguang Information Technology (Hainan) Co., Ltd., which focuses on integrated circuit business [1] - The newly established subsidiary has a registered capital of 100 million yuan and its business scope includes integrated circuit design, integrated circuit chip design and services, and sales of integrated circuits and related products [1] - Haiguang Information (688041) holds 100% ownership of the new subsidiary, indicating a strategic move to expand its operations in the integrated circuit sector [1]

Group 1 - The semiconductor leading ETF, 工银 (159665), opened down 1.00% at 1.980 yuan [1] - Major holdings in the ETF include 中芯国际 down 1.89%, 海光信息 down 1.54%, and several others with varying declines, while 拓荆科技 saw a slight increase of 0.02% [1] - The ETF's performance benchmark is the 国证半导体芯片指数, managed by 工银瑞信基金管理有限公司, with a return of 100.14% since its inception on December 22, 2022, and a 1.67% return over the past month [1]

Summary of Conference Call Notes Industry Overview - The focus is on the AI industry, particularly the role of cloud service providers and the implications of large models like CloudBot and C-DAS 2.0 on token consumption and software industry dynamics [1][2][5][12]. Key Points and Arguments Demand for Tokens - There is a significant demand for tokens due to high-frequency calls to AI models, with weekly consumption potentially reaching tens of millions [1][4][13]. - The transition from dialogue-based interactions to tool invocation has increased token usage, necessitating more computational power [2][12]. Role of Cloud Service Providers - Cloud providers are crucial in the AI era, offering mirrored services that lower user entry barriers and determining which large models can be accessed [1][5]. - Renting cloud services, such as Tencent Cloud, allows users to utilize complex models without significant changes to their infrastructure [5]. Risks Associated with AI Tools - There are potential security risks when installing plugins or skills, as some may disguise malicious software that can consume server resources [6]. - Users must be cautious to avoid issues similar to those seen in the early internet era, such as virus infections [6]. Impact on Software Industry - AI technology is diminishing the value of traditional software entry points, particularly in the SaaS sector, where Chinese companies lag behind their U.S. counterparts [7][8][9]. - The software industry is expected to face new challenges and opportunities as AI-based platforms gain prominence [7]. Advantages of Chinese Software Companies - Chinese A-share software companies focus on customized development and customer service, making them suitable partners for AI technology [11]. - These companies possess industry-specific knowledge that complements AI's general capabilities, allowing for a synergistic relationship [11]. Future of Cloud Computing and Token Consumption - The importance of cloud providers will increase as models like C-DAS 2.0 require substantial computational resources and token consumption [12][20]. - Major companies like ByteDance and Alibaba anticipate a tenfold increase in token consumption in the coming years, indicating that charging for large model usage will become standard [14]. Recommendations for Investment - Infrastructure-related companies, such as NetSpeed, are recommended due to the growing demand for efficient data transmission in AI applications [15]. - In the AI video production sector, companies like Zhao Chi and Wanxing Technology are highlighted for their innovative tools that enhance production efficiency [18]. - IDC firms should focus on partnerships with major platforms, with recommendations for companies like Dongyangguang and Runze in the ByteChain ecosystem, and Century Internet Data Port in the AliChain ecosystem [19]. Prospects for Domestic Computing Chips - Domestic computing chips like Haiguang and Cambrian are expected to have a positive long-term outlook despite current market pessimism [20]. - The increasing demand for computational power due to rising token consumption presents a buying opportunity for stocks in these companies [20]. Other Important Insights - The transition to AI tools is reshaping the software landscape, with a shift away from reliance on single software applications towards integrated AI solutions [9][10]. - The response time of CloudBot is noted to be longer compared to other models, indicating a need for improvement in processing speed [16].

Investment Rating - The report maintains a "Recommendation" rating for the computer industry, expecting the industry index to rise more than 5% over the next 3-6 months compared to the benchmark index [20]. Core Insights - The launch of Seedance 2.0 by ByteDance marks a significant advancement in AI video generation, featuring multi-modal reference capabilities and efficient creative processes, applicable in various fields such as animation and advertising [2][6]. - The report highlights the strong growth potential of AI-generated content (AIGC) and the increasing capital expenditure by ByteDance, projected at 160 billion RMB for 2026, with a significant portion allocated for advanced semiconductor chips [6]. - The report suggests a focus on key companies within the AIGC supply chain, including chip manufacturers, server providers, data centers, and application developers, indicating a broad investment opportunity across the sector [6]. Summary by Sections Industry Basic Data - The computer industry comprises 337 listed companies with a total market capitalization of 61,676.90 billion RMB and a circulating market value of 55,806.98 billion RMB [3]. Company Profit Forecasts and Valuations - Industrial Fulian is projected to have a revenue of 608.47 billion RMB in 2024, with a net profit of 23.22 billion RMB, reflecting a PE ratio of 48.0 for 2024 and 32.3 for 2025 [2]. - Other notable companies include: - Huagong Information with a projected revenue of 90.4 billion RMB and a net profit of 1.93 billion RMB in 2024 [7]. - Cambrian with a revenue forecast of 11.7 billion RMB and a net profit of -0.45 billion RMB in 2024 [7]. Relative Index Performance - The absolute performance of the computer industry shows a decline of 1.3% over the past month, but a growth of 16.7% over the past six months and 17.5% over the past year [4]. Investment Recommendations - The report recommends focusing on companies such as Haiguang Information, Cambrian, and others in the AI and semiconductor sectors, indicating a robust investment landscape driven by technological advancements [6].