2月27日，国产算力链强势崛起，云计算ETF（159890）开盘拉升涨超1%、目前涨0.74%，成份股表现活跃；拓维信息强势封涨停板，云天励飞大涨13%， 网宿科技、润和软件涨超6%，拓尔思、光环新网、汉得信息、中国软件等多股跟涨。 资金面热度持续攀升。据Wind Level2实时行情结合均价预估，截至发稿，云计算ETF（159890）盘中净流入超6600万元，近5日累计获净申购约5890万元， 规模累破前高。 分析认为，此次V4以国产芯片为基准原生适配，标志着国产算力产业链从过去的"可用"正式走向"规模商用"，有望扭转国产芯片"有算力无生态"的困境，国 产算力逻辑被彻底强化。 该指数前十大重仓包括科大讯飞、金山办公、中际旭创、新易盛、浪潮信息、中科曙光、紫光股份、恒生电子、润泽科技、拓维信息等软硬件龙头，有望充 分受益于AI新基建浪潮。 | | 1.898 +0.014 +0.74% | | | 云计算ETF . | | | --- | --- | --- | --- | --- | --- | | | SZSE CNY 10:12:42 交易中 查看L2全景 | | | 10 | | | | 净值走势 | ...

2月27日，国产算力链强势崛起，云计算ETF（159890）开盘拉升涨超1%、目前涨0.74%，成份股表现活跃；拓维信息强势封涨停板，云天励飞大涨13%， 网宿科技、润和软件涨超6%，拓尔思、光环新网、汉得信息、中国软件等多股跟涨。 资金面热度持续攀升。据Wind Level2实时行情结合均价预估，截至发稿，云计算ETF（159890）盘中净流入超6600万元，近5日累计获净申购约5890万元， 规模累破前高。 | | 1.898 +0.014 +0.74% | | | 云计算ETF FILE OLOTOTAL A | | | --- | --- | --- | --- | --- | --- | | | SZSE CNY 10:12:42 交易中 查看L2全景 | | | 00 | | | | 净值走势 | | 交生 | 10.93% 120日 | 16.58' | | 委比 | 82.79% 委差 | 87297 | 5日 | -1.20% 250日 | 38.64 | | 卖五 | 1.902 | 1125 | 20日 | -1.91% 52周高 | 2.1 | | | 1.901 | 10 | 60日 ...

Core Viewpoint - The article highlights the significant growth in the AI computing sector, driven by advancements in domestic models and government initiatives aimed at enhancing computing resource efficiency and service levels [3][4]. Group 1: Market Performance - Major indices saw an increase, with AI computing and application sectors leading the gains [1]. - Cloud computing ETFs (159890) and software leader ETFs (159899) both rose over 3% during trading [1]. - Notable stock performances included 360 Technology hitting the daily limit, and Oriental Guoxin rising over 18% [1]. Group 2: Government Initiatives - A recent government notification aims to promote the "1+M+N" national computing interconnection node system, which is expected to enhance the quality of the computing industry and improve the efficiency of public computing resource usage [3]. - The total number of operational computing center racks in the country has increased from 5.2 million to 12.5 million over the past five years, with an annual growth rate of 30% [3]. Group 3: Model Development and Investment - The period leading up to the Spring Festival has seen a surge in the release of domestic AI models, including significant updates from companies like DeepSeek, Alibaba, and Baidu [4]. - ByteDance plans to invest 160 billion yuan in capital expenditures by 2026, while Alibaba is advancing a 3-year plan for 380 billion yuan in AI infrastructure [4]. - The acceleration in model iteration is expected to drive rapid growth in demand for inference-side computing power, with 2026 anticipated to be a pivotal year for domestic super node deployment [5]. Group 4: Industry Outlook - The rapid iteration of domestic models is likely to significantly increase demand for inference-side computing power, benefiting the domestic computing industry [5]. - The cloud computing ETF (159890) tracks major players in the AI infrastructure and application sectors, while the software leader ETF (159899) focuses on key software development companies, both expected to benefit from the ongoing industry trends [5].

Core Viewpoint - The AI sector experienced a significant downturn, with the ChiNext AI ETF (159243) dropping by 5.27%, while major component stocks like Wangsu Science & Technology and Guanghui New Network fell over 9%. Despite this, the ETF saw a net inflow of approximately 26 million CNY, indicating a "buy the dip" mentality among investors [1][2]. Group 1: Market Dynamics - The recent sharp adjustment in the AI sector is attributed to a combination of external shocks, internal rotations, and changes in market ecology. A notable trigger was the collective plunge of AI tech stocks in the US market, raising concerns that emerging AI tools could disrupt traditional software business models [3][4]. - The market is witnessing extreme "high-low switching" and "risk aversion" characteristics, with funds moving away from high-valuation tech growth sectors to defensive assets amid macroeconomic volatility and geopolitical uncertainties [3][4]. Group 2: Investment Sentiment - The investment landscape for artificial intelligence has shifted to a new phase, where the focus is on the commercialization and actual performance of companies rather than speculative narratives. Stocks that require significant capital expenditure or are still in the investment phase are facing increased short-term profit pressures, leading to a drastic correction in valuations [3][4]. - The current extreme adjustment in the AI sector serves as a "stress test" influenced by short-term emotions, funding behaviors, and the evolution of the industry stage. This adjustment has not undermined the long-term value of the sector but has highlighted the certainty of industry trends and the support from policies [4].

Group 1 - The core viewpoint of the news highlights the significant growth in AI computing power and applications, leading to a bullish market trend, particularly in cloud computing ETFs and key stocks like iFlytek [1][3] - iFlytek announced an expected net profit of 785 million to 950 million yuan for 2025, representing a year-on-year growth of 40% to 70%, driven by the accelerated deployment of AI applications [3] - The fourth quarter net profit for iFlytek is projected to reach 852 million to 1.017 billion yuan, indicating a staggering quarter-on-quarter increase of 394% to 490% [3] Group 2 - Meta's recent earnings report also exceeded market expectations, with significant revenue growth and a capital expenditure forecast of up to 135 billion yuan for 2026, nearly double that of the previous year [3] - The computing power industry is experiencing inflation from 2025 to early 2026, affecting storage, CPUs, and other semiconductor chips, driven by increased demand for AI training [3] - Alibaba is preparing to advance the independent listing of its AI chip subsidiary, Tianshu, which is expected to boost the development of domestic computing power chips [4] Group 3 - The open-source AI assistant Clawdbot has gained market attention, transforming personal AI assistants into proactive digital partners, indicating a shift in value from models to application frameworks [5] - The cloud computing ETF tracks a comprehensive index covering leading software developers and electronic component companies, providing a one-stop solution for the AI computing era [5]

Group 1 - The domestic computing power sector experienced significant gains, with companies like Deepin Technology rising over 13% and several others increasing by more than 5% [1] - The cloud computing ETF (159890) saw a 2.22% increase and has recorded a net inflow of 152 million yuan over the past eight trading days, indicating heightened investor interest [1] Group 2 - With the launch of GLM-4.7, the user base for GLM Coding Plan has rapidly increased, leading to a temporary strain on computing resources, prompting the company to accelerate capacity expansion [3] - Intel and AMD announced a price increase of 10%-15% for server CPUs, signaling a potential industry shift towards a dual demand driven by AI, marking a turning point in the sector [3] - The emergence of reasoning models has unlocked approximately 10 times the computational potential compared to traditional models, shifting the demand for computing power from solely training to a dual focus on training and reasoning [3] Group 3 - Domestic general-purpose GPUs are evolving from "usable" to "user-friendly," with continuous breakthroughs in technology and architecture, significantly narrowing the gap with international competitors [4] - The smart computing scale in China is expected to maintain a compound annual growth rate of 57% from 2020 to 2028 [4] - The cloud computing ETF (159890) tracks the CSI Cloud Computing and Big Data Theme Index, covering leading companies across various sectors, providing a comprehensive solution for the AI computing power era [4]

Core Insights - The satellite industry and semiconductor equipment continue to show strong performance, while popular sectors like GEO and AI applications are experiencing a pullback [1] - Significant capital inflow has been observed in software and cloud computing ETFs, indicating investor interest despite recent declines [1] Group 1: Market Performance - The satellite industry ETF (159218) and semiconductor equipment ETF (561980) saw intraday gains of over 1.6% and 2.2% respectively [1] - The software leader ETF (159899) and cloud computing ETF (159890) experienced declines of nearly 2%, but attracted substantial capital inflow, with net inflows of 23 million and 8 million respectively [1] - Over the last four trading days, the software leader ETF (159899) has received over 300 million in net inflows, while the cloud computing ETF (159890) has seen approximately 126 million in net inflows over the last five trading days [1] Group 2: AI and GEO Market Insights - The large model market is expected to reach a size of 206.5 billion by 2029, with a CAGR of 80.7% from 2024 to 2029, driven primarily by large model applications [6] - By 2026, the global GEO market is projected to reach 24 billion, with the domestic market expected to reach 11.1 billion, indicating exponential growth [3] - Chinese consumers exhibit a high trust level in AI applications at 80%, significantly higher than the US (35%) and Europe (40%), particularly in personalized shopping recommendations [3] Group 3: ETF Composition and Strategy - The cloud computing ETF (159890) focuses on key sectors such as servers, data centers, and cloud services, with 65% of its index comprising IT services, horizontal general software, and vertical application software [7] - The software leader ETF (159899) tracks the CSI All-Share Software Index, including leaders in intelligent voice, office collaboration, fintech, and industrial software, with approximately 35% exposure to AI applications [7] - Investors may consider leveraging both cloud computing ETF (159890) and software leader ETF (159899) to comprehensively capture the value of computing infrastructure and AI technology monetization [7]

Group 1 - Major indices experienced fluctuations and declines on January 15, with several technology sectors retreating, particularly in GEO and AI applications [1] - Cloud computing ETF (159890) and software leading ETF (159899) saw net inflows of approximately 8 million and 10 million respectively, despite midday declines [1] - The cloud computing ETF focuses on key sectors such as servers, data centers, and cloud services, with a combined 65% allocation to IT services, horizontal general software, and vertical application software [1] Group 2 - Recent collaborations in AI applications include a partnership between ZhiYuan Robotics and MiniMax, and Tencent's launch of an AI application growth plan [3] - The global GEO market is projected to reach $24 billion by 2026 and $100 billion by 2030, with domestic expectations of 11.1 billion yuan by 2026 and 36.5 billion yuan by 2028 [3] - Domestic companies are actively developing AI traffic entry points, integrating self-developed large models with e-commerce ecosystems to enhance user experience [3] Group 3 - AI technology is significantly transforming lives, with GEO emerging as a new marketing paradigm, shifting competition from traditional SEO to AI-driven models [4] - Investors are encouraged to consider cloud computing ETF (159890) and software leading ETF (159899) for comprehensive exposure to computing infrastructure and AI technology monetization [4]

Group 1 - The GEO concept has significantly boosted AI applications, with stocks like Shiji Information and Taxfriend both hitting the daily limit up, and others like Yidian Tianxia rising by 14.20% [1] - The cloud computing ETF (159890) opened with a 3.39% increase and saw substantial net inflows, indicating strong investor interest in AI-related stocks [1][6] - The ETF tracks a broad range of sectors, with IT services, horizontal general software, and vertical application software making up approximately 65% of its index, highlighting its deep investment in AI applications [6] Group 2 - The U.S. has relaxed export regulations on Nvidia's H200 chips to China, but the impact on the domestic computing power industry is expected to be limited due to differing application scenarios [3] - Domestic computing power is primarily focused on small to medium models and inference applications, which do not overlap significantly with the H200's training applications [3] - By 2026, domestic computing power is projected to capture over 400 billion yuan of the estimated 600-650 billion yuan allocated for domestic purchases, driven by major companies like ByteDance, Alibaba, and Tencent [3] Group 3 - The AI industry is transitioning from a focus on "computing power competition" to "application landing," with a growing emphasis on commercializing AI applications [4] - Historical trends suggest that hard technology follows a cyclical pattern, while soft technology is more influenced by changes in business models, indicating a potential new wave of software market activity [4] - The AI market is expected to maintain a high configuration cost-performance ratio as it enters its second phase in 2026, with applications becoming the core focus [4]

Group 1 - The GEO concept has significantly boosted AI applications, with stocks like Shiji Information and Taxfriend reaching their daily limit up, and others like Yidian Tianxia increasing by 14.20% [1] - The cloud computing ETF (159890) opened with a 3.39% increase, indicating substantial net inflows, and it tracks a broad index with 65% allocation to IT services, general software, and vertical application software, showing deep engagement in AI applications [1][6] Group 2 - The U.S. has relaxed export regulations on Nvidia's H200 chips to China, but the impact on the domestic computing power industry is expected to be limited due to differing application scenarios [3] - Domestic computing power is projected to capture over 400 billion yuan of the estimated 600-650 billion yuan allocated for domestic purchases by ByteDance by 2026, with significant investments also expected from Alibaba and Tencent [3] - The Chinese intelligent computing power market is anticipated to maintain a compound annual growth rate of 57% from 2020 to 2028, driven by the expansion of intelligent computing centers and accelerated domestic substitution [3] Group 3 - The AI industry is transitioning from a focus on "computing power competition" to "application landing," with a notable increase in confidence regarding the commercial viability of large model applications [4] - Historical trends suggest that hard technology follows a cyclical pattern driven by market conditions, while soft technology is more influenced by changes in business models, indicating a potential new wave of software market activity [4] - The AI market is expected to remain a core focus in 2026, with applications offering high configuration cost-effectiveness despite limited price increases compared to overseas computing power [4]