Core Viewpoint - The article discusses the current funding logic in the market, highlighting the significant movements of public funds in the technology sector, particularly in the semiconductor and biopharmaceutical industries, as they adjust their portfolios based on performance and valuation metrics [3][8]. Group 1: Public Fund Movements - Public funds have shown a notable shift in their holdings, particularly in the STAR Market, with the STAR 50 Index rising by 12.1% this year [3][4]. - The total market capitalization of STAR Market companies reached 10.4 trillion yuan, with the technology sector dominating, accounting for 62.1% of the total market cap [5][6]. - The semiconductor industry remains the core focus for fund allocation, with 12 companies in the sector having a market capitalization exceeding 10 billion yuan [9][11]. Group 2: Semiconductor Sector Insights - The market's pricing anchor for the semiconductor sector has shifted from "valuation expansion" to "performance realization," emphasizing the importance of actual earnings [13][14]. - Key drivers for future growth in the semiconductor sector include strong order backlogs, profit growth through acquisitions and expansions, and sustained price increases in advanced processes [13][14]. - Public funds have significantly increased their holdings in semiconductor materials, chip design, and equipment, with companies like ShenGong Co. seeing an 11% increase in fund holdings [15][21]. Group 3: Biopharmaceutical Sector Insights - The biopharmaceutical sector is a critical area for public funds, with major holdings in companies like BeiGene and United Imaging Healthcare, although the sector has faced a reduction in holdings for several key companies [24][26]. - The article notes that innovative drug companies are currently under pressure, with significant reductions in holdings observed in companies like BaiLi TianHeng and RongChang Biopharma [26][28]. - Despite the challenges, companies with strong earnings potential and innovative drug pipelines are still attracting interest from public funds, indicating a selective investment approach [35][40].

Investment Rating - The report maintains a "Recommended" rating for the industry, indicating an expected relative performance exceeding 15% compared to the benchmark index over the next 12 months [8]. Core Insights - The launch of Seedance 2.0 by ByteDance marks a significant advancement in AI video generation, enabling users to create videos with simple text prompts, which is expected to enhance user engagement and frequency of use over the long term [3][5]. - The model's capabilities include multi-modal input acceptance, narrative coherence, and audio-visual synchronization, addressing key industry challenges such as character consistency and audio-visual mismatch [4][5]. - The demand for computational power is projected to increase exponentially due to the anticipated high concurrency from both consumer (C-end) content creation and business (B-end) API calls [6]. Summary by Sections Seedance 2.0 Launch and Features - Seedance 2.0 is integrated into various platforms, allowing users to generate short videos easily, which is expected to drive higher usage rates [3]. - The model supports multiple input types and can generate videos with synchronized audio, enhancing the creative process for users [4]. Computational Demand Projections - The report estimates that by October 2025, the monthly usage of AI-generated content on the platform will reach 63,900 times, with a total usage time of 1,668.2 hours [6]. - The complexity of video generation is significantly higher than that of text and images, leading to a substantial increase in computational requirements [6]. - Projections indicate that the number of required H100 GPUs for video generation could range from 2.4 million to 4.284 million under different scenarios, with a market space for H100 GPUs estimated between $4.8 billion and $8.568 billion [14][12]. Long-term Market Opportunities - The report highlights the potential for domestic computational power providers to benefit from the growth of AI video generation, with specific companies recommended for investment, including chip designers and AI server manufacturers [13]. - The user base for short videos in China is expected to exceed 1 billion by the end of 2024, with increasing daily usage times projected [7][11].

Group 1 - The core transaction involved 10,000 shares of Haiguang Information, with a total transaction value of 2.5906 million yuan, representing 0.06% of the total trading volume for the day [1] - The transaction price was 259.06 yuan per share, which was consistent with the market closing price of 259.06 yuan [1]

Investment Rating - The report indicates a positive outlook for the industry, suggesting a potential for significant growth in the coming months [6][44]. Core Insights - The report highlights a rapid release of computing power demand driven by the dual forces of training and inference, with 2026 identified as a pivotal year for this transition [6]. - Major internet companies are intensifying their competition in AI, leading to a surge in demand for high-quality, multi-modal models, which in turn is expected to drive substantial growth in computing power requirements [11][25]. - The supply side is expected to improve structurally, with domestic computing power resources becoming more abundant, thus supporting the anticipated demand explosion [6][32]. Summary by Sections 1. Rapid Release of Computing Power Demand - The "arms race" in large models continues unabated, with leading internet firms like ByteDance, Alibaba, and Tencent releasing new models with trillions of parameters, enhancing their competitive edge [11][12]. - The demand for inference computing power is rising at an unexpected rate, with significant user growth reported for AI applications, particularly the Doubao app, which reached 226 million monthly active users by December 2025, marking a year-on-year increase of over 200% [6][25]. 2. Supply Side Improvements and Domestic Production Acceleration - The approval of NVIDIA's H200 AI chips for the Chinese market is expected to alleviate computing power shortages for major internet firms, facilitating faster model iterations [32]. - Domestic computing power chips have reached a performance level that is now considered "good enough," with significant advancements in local chip development and deployment [33]. 3. Full-Chain Inflation in Domestic Computing Power - The report predicts that the computing power industry will enter a "full-chain inflation" cycle in 2026, with growth expected across various segments including AIDC, cloud services, and supporting power equipment [38]. - Major tech companies are projected to increase their capital expenditures significantly, with estimates suggesting that the four largest tech firms in Silicon Valley will spend up to $650 billion in 2026 [40]. 4. Related Companies - The report lists several companies as relevant to the industry, including Dongyangguang, Hanwha, Haiguang Information, Wangsu Technology, and others, indicating a broad spectrum of potential investment opportunities [4][44].

Group 1 - The core viewpoint of the article highlights the performance of the Chip Leader ETF (516640), which opened down by 0.67% at 1.179 yuan on February 13 [1] - The major holdings of the Chip Leader ETF include companies such as Cambricon, SMIC, and Haiguang Information, with varying performance; for instance, Cambricon fell by 1.12%, while Northern Huachuang rose by 1.00% [1] - The ETF's performance benchmark is the CSI Chip Industry Index return, managed by Fortune Fund Management Co., Ltd., with a return of 18.79% since its inception on August 19, 2021, and a recent one-month return of -0.29% [1]

Group 1 - The core point of the article highlights the performance of the chip ETF Guangfa (159801), which opened with a decline of 0.63% at 0.953 yuan [1] - Major holdings in the chip ETF include companies like Zhongxin International, which fell by 0.30%, and Haiguang Information, which decreased by 0.89% [1] - The ETF's performance benchmark is the National Securities Semiconductor Chip Index return rate, managed by Guangfa Fund Management Co., Ltd., with a return of 91.88% since its inception on January 20, 2020, and a recent one-month return of 0.16% [1] Group 2 - The article lists the performance of various stocks within the ETF, including Cambrian Technology down by 1.12%, and North Huachuang up by 1.00% [1] - Other notable stock performances include Zhaoyi Innovation unchanged at 0.00%, and Changdian Technology down by 1.35% [1] - The article emphasizes the importance of cautious investment due to market risks, although it does not provide specific investment advice [1]

Group 1 - The core viewpoint of the article highlights the performance of the Sci-Tech Chip ETF managed by Huatai-PineBridge, which opened at a decline of 0.95% on February 13, 2024, priced at 1.771 yuan [1] - The major holdings of the ETF include companies such as SMIC, Haiguang Information, and Cambrian, all of which experienced declines in their stock prices, with the largest drop being 2.78% for Chipone [1] - The ETF's performance benchmark is the Shanghai Stock Exchange Sci-Tech Board Chip Index, with a return of 78.76% since its inception on December 18, 2024, and a monthly return of 1.72% [1]

Group 1 - The core viewpoint of the article highlights the performance of the Chip ETF Huatai Fu (516920), which opened down by 0.95% at 1.143 yuan on February 13 [1] - The major holdings of the Chip ETF include companies such as Cambricon, which opened down by 1.12%, and SMIC, which fell by 0.30% [1] - The ETF's performance benchmark is the CSI Chip Industry Index return rate, managed by Huatai Fu Fund Management Co., Ltd., with a return of 15.53% since its establishment on July 27, 2021, and a recent one-month return of -0.33% [1] Group 2 - The article lists the performance of various stocks within the ETF, including Haiguang Information down by 0.89%, Northern Huachuang up by 1.00%, and Ziguang Guowei down by 0.83% [1] - The article emphasizes the importance of cautious investment due to market risks, although it does not provide specific investment advice [1]

Core Viewpoint - The semiconductor design sector in the STAR Market is experiencing significant growth, with key stocks showing strong performance and an increase in ETF investments, driven by rising demand and pricing in the memory and storage markets [1][2]. Group 1: Market Performance - The STAR Market Chip Design Theme Index (950162) rose by 1.10% as of February 13, 2026, with notable increases in constituent stocks such as Shengke Communication (+10.18%) and Jiewate (+6.45%) [1]. - The E Fund STAR Chip Design ETF (589030) increased by 0.94%, with a recent price of 1.07 yuan, and has seen a cumulative increase of 6.74% over the past week [1]. - The ETF recorded a turnover rate of 2.01% during the trading session, with a total transaction volume of 9.3767 million yuan [1]. Group 2: Fund Growth and Inflows - The E Fund STAR Chip Design ETF has seen a significant increase in scale, growing by 1.7171 million yuan over the past two weeks, ranking second among comparable funds [1]. - The ETF's share count increased by 14.1 million in the past month, also ranking second among comparable funds [1]. - Over the last ten trading days, the ETF attracted a total of 10.7451 million yuan in inflows [1]. Group 3: Industry Insights - According to TrendForce, DRAM contract prices have risen by over 40% in Q4 2025, with further increases expected in Q1 2026, particularly in the DDR4 market due to supply-demand imbalances [2]. - Wanlian Securities highlights the ongoing AI wave driving demand for key hardware components, suggesting that storage and PCB sectors are in an expansion cycle, with potential growth in AI consumer electronics [2]. - The E Fund STAR Chip Design ETF has achieved an 80.00% weekly profit percentage and a 77.78% monthly profit probability since its inception [2]. Group 4: Fee Structure and Index Composition - The management fee for the E Fund STAR Chip Design ETF is 0.50%, and the custody fee is 0.10%, which are among the lowest in comparable funds [3]. - The STAR Market Chip Design Theme Index primarily includes companies involved in chip design, with digital chip design accounting for 76.8% of the index weight, benefiting from industry uptrends [3]. - As of January 30, 2026, the top ten weighted stocks in the index account for 58.7% of the total index, including companies like Lanqi Technology and Haiguang Information [3].

Group 1 - The core viewpoint of the article highlights that domestic CPUs have achieved a new record, positioning themselves among the top tier globally, as evidenced by the latest SPEC Cloud IaaS 2018 test results [1] - The InCloud OS platform, utilizing the Haiguang C86 architecture server, achieved a comprehensive performance score of 154.9 and a single-instance performance score of 1.23, both of which set new historical bests for domestic manufacturers [2] - The Haiguang C86 server features a dual-socket configuration supporting 64 cores and 128 threads, with a CPU frequency of 3.0 GHz (base frequency of 2.7 GHz), and demonstrates an impressive scalability of 91.6% [2] Group 2 - The SPEC Cloud IaaS 2018 is recognized as the "gold standard" for global cloud evaluation, assessing critical capabilities such as elasticity, storage I/O, and overall performance, making its results a significant reference for industry selection [2] - The achievement of the Haiguang C86 in setting a new record signifies a deeper alignment between "self-controllable" and "commercially viable" for domestic CPUs [2] - In a related development, the South Korean government announced a 1 trillion won initiative aimed at developing AI semiconductors for device applications, indicating a competitive push in the semiconductor sector [5][6] - This initiative aims to produce approximately 10 domestic AI semiconductor chips over the next five years, targeting applications in autonomous driving, smart home appliances, and humanoid robots [6] - The plan is part of the M.AX alliance, which includes major companies and research institutions, and aims to reduce local companies' reliance on foreign AI chip manufacturers [7]