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].

说到国产芯片，不只是我们，韩国也想在这一领域有所突破，韩国政府日前宣布，将于三月启动一项总 额达1兆韩元的专项计划，专注于开发针对设备端应用的AI半导体。 国产CPU创了新纪录，性能已经跻身全球第一梯队了。 近日， 国际权威标准组织SPEC公布了SPEC Cloud IaaS 2018最新测试成绩。浪潮云海InCloud OS通 过搭载海光C86架构服务器，性能得分一举刷新国产厂商在该领域的实测纪录。 测试数据显示，该平台综合性能得分154.9，单副本性能得分1.23，均刷新历史最佳成绩。 平台硬件是：海光C86 4G架构双路服务器（可支持64核128线程、兼容X86生态），在搭载的CPU主 频3.0GHz（基频 2.7 GHz）的环境下，平台扩展性达91.6%，实例平均就绪时间27秒，存储I/O读延 迟4.07毫秒、写延迟2.18毫秒。 SPEC Cloud IaaS 2018是全球云评测的"金标准"，测试覆盖多元云场景负载，考核弹性伸缩、存储 I/O等核心能力，旨在全面评估云平台在性能、可扩展性、稳定性等关键维度的表现。其测试结果也被 业内视为重要的选型参考依据。 业内认为，海光C86性能刷新国产厂商纪录 ...

Investment Rating - The industry is rated as "Outperforming the Market" with an expected relative increase of over 10% compared to the market index in the next six months [41]. Core Insights - The SW Electronics sector's fund heavy positions and overweight ratios have increased year-on-year but decreased quarter-on-quarter, indicating a high level of interest despite recent declines [1][11]. - The focus for Q4 2025 is on AI computing power and semiconductor self-sufficiency, with key stocks including Cambricon, Haiguang Information, and SMIC leading the way [2][22]. - The semiconductor and components sectors are currently overweight, while consumer electronics have shifted to an underweight position [3][31]. Summary by Sections Fund Heavy Positions and Overweight Ratios - In Q4 2025, the SW Electronics sector's allocation ratio is 11.90%, with a quarter-on-quarter decrease of 0.52 percentage points but a year-on-year increase of 3.05 percentage points. The fund heavy position ratio is 20.22%, down 1.92 percentage points quarter-on-quarter but up 3.28 percentage points year-on-year. The overweight ratio stands at 8.32%, reflecting a quarter-on-quarter decline of 1.39 percentage points but a year-on-year increase of 0.23 percentage points [1][11][13]. Top Heavy Positions - The top ten stocks in the SW Electronics sector for Q4 2025 include Cambricon, Haiguang Information, SMIC, Luxshare Precision, and others, with semiconductor stocks making up 70% of the list. The performance of these stocks has varied, with only 40% showing gains in the quarter [2][16][22]. Focus Areas - The investment focus remains on AI computing and storage, with significant interest in companies like Cambricon and Dongshan Precision, which are leaders in their respective fields. The semiconductor self-sufficiency trend is also highlighted, with companies like Tuojing Technology and Hu Silicon Industry benefiting from domestic equipment adoption [2][22]. Subsector Allocation - The semiconductor sector is still a key focus for institutional investors, with an overweight ratio of 7.74%, despite a quarter-on-quarter decline of 0.76 percentage points. The components sector has seen a slight increase in its overweight ratio to 1.75%. In contrast, consumer electronics have shifted from overweight to underweight, now at 0.45% [3][31]. Concentration of Fund Heavy Positions - The concentration of the top five fund heavy positions in the SW Electronics sector has decreased, with their market value accounting for 35.52% of the total fund heavy positions, down 0.84 percentage points quarter-on-quarter. This trend indicates a diversification in fund allocations [3][36]. Investment Recommendations - The report suggests focusing on AI computing and semiconductor self-sufficiency as key investment opportunities. It recommends monitoring the performance of PCB and storage sectors, which are expected to benefit from the growth in AI computing [4][37].

Core Viewpoint - The A-share market is experiencing an upward trend, particularly in the sci-tech chip sector, with significant gains in the ETF Huatai-PineBridge (588750) and its constituent stocks [1][3]. Group 1: Market Performance - As of 14:53, the sci-tech chip ETF Huatai-PineBridge (588750) rose over 2%, with a slight increase in trading volume [1]. - Key constituent stocks such as Chip Origin (涨近13%), Baiwei Storage (涨超7%), and Cambricon (涨超3%) showed notable gains [3]. Group 2: Stock Performance Details - The following stocks were highlighted for their performance: - Haiguang Information: 2.89% increase [4] - Chip Origin: 12.92% increase [4] - Baiwei Storage: 7.21% increase [4] - The performance of these stocks indicates a strong interest in the electronic sector, particularly in chip-related companies [4]. Group 3: Policy and Investment Trends - Recent policy initiatives emphasize the need for state-owned enterprises to enhance investment in computing power and promote the synergy between computing and electricity [5]. - Major tech companies are significantly increasing their capital expenditures, with Alibaba planning to raise its investment in AI infrastructure from 380 billion to 480 billion RMB over the next three years [6]. Group 4: AI and Cloud Services - The demand for AI applications is surging, with major companies like Tencent, Alibaba, ByteDance, and Baidu investing over 4.5 billion RMB to capture the AI market [5]. - International cloud service providers are also ramping up their capital expenditures, with Meta, Alphabet, Amazon, and Microsoft projecting substantial increases in their investments for AI infrastructure [7]. Group 5: Index and Investment Strategy - The sci-tech chip 50 ETF (588750) focuses on high-tech segments of the chip industry, with a high concentration of core segments at 95%, indicating strong growth potential [8][11]. - The index has shown a remarkable profit growth rate of 94% in the first three quarters of 2025, significantly outperforming peers [11]. - The ETF is characterized by high elasticity and rapid rebound potential, making it an attractive option for investors looking to capitalize on the chip sector's growth [12].

Group 1 - The three major indices collectively rose, with the Shanghai Stock Exchange Science and Technology Innovation Board Composite Index increasing by 1.33% as of the report time [1] - Among the constituent stocks of the index, Youke De and Science & Technology reached the daily limit, while Oulain New Materials surged over 16% [1] - The Tianhong ETF tracking the Science and Technology Innovation Index had a trading volume exceeding 17 million yuan, with a turnover rate of over 6%, indicating active trading [1] Group 2 - The Science and Technology Innovation Index ETF closely tracks the Science and Technology Innovation Index, covering approximately 97% of the market capitalization of the Science and Technology Innovation Board, with a focus on small-cap hard technology companies [1] - The top ten weighted stocks in the index include leading technology firms such as Cambrian, Haiguang Information, and SMIC [1] - A new AI application scenario open platform, LuckyMate.AI, was launched in Huaqiangbei, Shenzhen, aimed at providing sustainable solutions for "Artificial Intelligence +" scenarios [1] Group 3 - According to Caixin Securities, historical market data suggests that the relative profit growth of "technology and value" has not reversed, and the differentiation in growth and value valuation is not extreme [1] - The overall trading congestion in the TMT sector remains low, leading to expectations that the market style may return to a "technology growth" focus in the medium term [1]

Group 1 - The core viewpoint of the article highlights the performance of the HuShen 300 Growth ETF managed by Huaxia Fund Management, which has seen a return of 31.56% since its inception on September 5, 2023 [1] - As of the midday close on February 12, the HuShen 300 Growth ETF (159523) increased by 0.76%, reaching a price of 1.324 yuan with a trading volume of 4.6693 million yuan [1] - The top holdings of the ETF include companies such as CATL, which rose by 2.57%, and Gree Moutai, which fell by 1.42%, indicating mixed performance among its key stocks [1] Group 2 - The ETF's performance benchmark is the CSI Select 300 Growth Innovation Strategy Index, which reflects its investment strategy [1] - The fund manager is Zhao Zongting, indicating a specific leadership in the management of the ETF [1] - The ETF has shown a monthly return of 1.97%, suggesting a stable short-term performance [1]

Group 1 - The core viewpoint of the article highlights the performance of the Chip ETF Huatai Fu (516920), which opened with a slight increase of 0.27% at 1.132 yuan [1] - The major holdings of the Chip ETF include companies such as Cambricon, which rose by 0.10%, SMIC by 0.47%, and Haiguang Information by 1.96% [1] - The ETF's performance benchmark is the CSI Chip Industry Index return, managed by Huatai Fu Fund Management Co., Ltd., with a return of 12.94% since its inception on July 27, 2021, and a recent one-month return of -0.72% [1]

Group 1 - The core point of the article highlights the performance of the Chip ETF (159995), which opened with a gain of 0.68% at 1.913 yuan on February 12 [1] - The major holdings of the Chip ETF include companies such as SMIC, Haiguang Information, and Cambrian, with respective opening gains of 0.47%, 1.96%, and 0.10% [1] - The performance benchmark for the Chip ETF is the National Securities Semiconductor Chip Index return, managed by Huaxia Fund Management Co., with a return of 89.97% since its inception on January 20, 2020, and a near-term return of -0.05% over the past month [1]

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]