Core Viewpoint - The Robot ETF (159770) is experiencing significant trading activity and inflow, indicating strong investor interest in the robotics sector, particularly ahead of key developments in humanoid robotics expected in 2026 [1][2][4]. Trading Activity - As of February 10, 2026, the Robot ETF (159770) had a turnover of 2.23% with a transaction volume of 226 million yuan [1]. - The underlying index, the CSI Robot Index (H30590), rose by 1.09%, with notable increases in constituent stocks such as Kelaimechatronics (up 9.99%), Yuntian Lifeng (up 6.20%), and Keri Technology (up 5.66%) [1]. - The Robot ETF (159770) has seen a net subscription of 19.5 million shares during the trading session [1]. Fund Growth - As of February 9, 2026, the Robot ETF (159770) experienced a week-on-week growth of 152 million yuan in scale and an increase of 15.3 million shares [2]. - The latest net inflow for the Robot ETF (159770) was 1.6528 million yuan, with a total of 1.22 billion yuan net inflow over three out of the last five trading days [2]. Product Highlights - The Robot ETF (159770) covers key areas of the robotics industry chain, including core components, algorithm control modules, and motor battery modules [2]. Industry Developments - The Beijing Humanoid Robot Innovation Center launched the next-generation general-purpose robot platform, "Embodied Tiangong 3.0," which features significant improvements in stability, motion control, and autonomous operation capabilities [3]. - The center's new robot is the first in the industry to achieve full-body high-dynamic motion control with tactile interaction [3]. Institutional Insights - Guojin Securities anticipates that 2026 will be a pivotal year for humanoid robots, with the first-generation mass production products from Tesla expected to be released in Q1 2026 [4]. - The production capacity for leading domestic companies is projected to increase from thousands to tens of thousands of units, primarily for applications in guiding, inspection, and other scenarios [4]. - The industry is expected to enter a "robot arms race" as technology and supply chains converge among leading companies [4].

Core Viewpoint - The article discusses the performance of the A-share market, highlighting the fluctuations in major indices and the notable movements in specific sectors such as media and pharmaceuticals. Market Performance - The Shanghai Composite Index decreased by 0.02% to 4122.34, while the Shenzhen Component Index also fell by 0.02% to 14206.26. The ChiNext Index dropped by 0.14% to 3328.02, and the Sci-Tech Innovation Board Index rose by 0.19% to 1800.35 [4][12]. - The total trading volume in the Shanghai and Shenzhen markets reached 1.4 trillion yuan, with over 2800 stocks declining [6]. Sector Highlights - The media sector experienced significant gains, with multiple stocks such as Light Media and China Film hitting the daily limit, and Huace Film and Happiness Blue Sea rising over 15% [5][6]. - The innovative drug concept saw a surge, with stocks like Guangsheng Tang increasing by over 13% [6]. - The semiconductor sector also performed well, with stocks like Chipone Technology rising over 8% [10]. New Listings - Three new stocks were listed, with N Electric Technology opening at a remarkable increase of 750.05% on its first day [11]. Other Market Movements - The precious metals, shipping, and liquor sectors showed weakness, contrasting with the strong performance of the media and innovative drug sectors [5][6].

2月10日，云天励飞涨5.31%，截至发稿，报87.99元/股，成交2.05亿元，换手率0.90%，总市值316.42亿 元。 富国上证科创板人工智能ETF（589380）基金经理为殷钦怡。 截至发稿，殷钦怡累计任职时间1年203天，现任基金资产总规模241.92亿元，任职期间最佳基金回报 117.24%， 任职期间最差基金回报-16.72%。 声明：市场有风险，投资需谨慎。 本文基于第三方数据库自动发布，不代表新浪财经观点，任何在本 文出现的信息均只作为参考，不构成个人投资建议。如有出入请以实际公告为准。如有疑问，请联系 biz@staff.sina.com.cn。 责任编辑：小浪快报 资料显示，深圳云天励飞技术股份有限公司位于广东省深圳市南山区粤海街道深圳湾科技生态园10栋B 座14-15楼、33楼,香港铜锣湾希慎道33号利园1期19楼1922室，成立日期2014年8月27日，上市日期2023 年4月4日，公司主营业务涉及人工智能算法、芯片技术,研发和销售面向应用场景的人工智能产品及解 决方案。主营业务收入构成为：消费级场景业务44.22%，行业级场景业务27.66%，企业级场景业务 27.10%，其他( ...

Core Viewpoint - The A-share market is experiencing a strong upward trend, particularly in the AI sector, with significant inflows into the AI-themed ETF, Huatai-PineBridge (589560), which rose by 4.44% on February 9, ending a three-day decline [1][3]. Group 1: Market Performance - The Huatai-PineBridge AI ETF (589560) has seen net inflows of 12.63 million yuan over three of the last five trading days [1]. - Key component stocks of the ETF have shown strong performance, with Chip Origin rising over 14%, Fudan Microelectronics over 9%, and several others also experiencing gains [2][3]. Group 2: Component Stocks - The top ten component stocks of the Huatai-PineBridge AI ETF include: - Chip Origin: 14.87% increase, 12.05% estimated weight - Fudan Microelectronics: 9.65% increase, 4.91% estimated weight - Kingsoft Office: 1.12% increase, 9.01% estimated weight - Other notable stocks include Cambricon and CloudWalk Technology [4][5]. Group 3: AI Technology Developments - ByteDance's new AI video generation model, Seedance 2.0, has gained significant attention for its technological breakthroughs, including support for multi-modal input and 2K video output, which is 30% faster than competitors [6]. - The model is expected to revolutionize content production, particularly in AI-driven short films and series, enhancing efficiency and reducing costs [6]. Group 4: Investment Opportunities - Analysts suggest that the current market sentiment is at a low point, with Seedance 2.0 potentially catalyzing a rebound in AI applications [7]. - The AI application sector has seen a 19% increase since the beginning of the year, indicating strong growth potential [7]. - The domestic AI hardware market is expected to benefit from trends towards self-sufficiency in computing power, with significant investments from major tech companies in AI chip development [9].

Core Viewpoint - The surge in the stock of the Huabao Big Data ETF (516700) is attributed to the popularity of ByteDance's Seedance 2.0 video generation model, which has sparked significant interest in the AI application sector and domestic computing power [1][2]. Group 1: Market Performance - The Huabao Big Data ETF saw an intraday increase of 3.28%, currently up by 3.1%, recovering above the 5-day moving average [1]. - Key stocks within the ETF include Dongfang Guoxin, which hit the daily limit with a 20.02% increase, and Guanghuan Xunwang, which rose by 10.58% [2]. Group 2: AI Development - ByteDance's Seedance 2.0 can create high-quality videos from text or images in under 60 seconds, generating multi-angle sequences with native audio [3]. - The AI industry is experiencing a wave of new product launches, with institutions optimistic about performance in the AI application sector [3]. Group 3: Industry Insights - Data centers are identified as the core infrastructure for AI, with a robust demand driving growth in the IDC industry [3]. - The computing power market is expected to see a rebound in demand, particularly in North America and China, as domestic projects are anticipated to resume following delays due to import restrictions on computing power cards [3]. Group 4: ETF Composition - As of the end of 2025, the Huabao Big Data ETF's index will have a weight of 40.91% for computing power concepts and 37.43% for AI application concepts [4]. - The ETF focuses on sectors such as data centers, cloud computing, and big data processing, with major holdings in companies like Inspur, iFlytek, and Unisoc [5]. Group 5: Policy and Market Trends - There is a strong push for technological leadership, with initiatives aimed at accelerating the digital economy and domestic substitution processes [6]. - The "Xinchuang 2.0" trend is expected to gain momentum, enhancing the prospects for technology self-sufficiency [6].

鹏华科创板人工智能ETF（589090）成立日期2025年8月13日，最新规模2.38亿。今年以来收益7.3%， 同类排名1067/5580；成立以来收益12.33%。 鹏华科创板人工智能ETF（589090）基金经理为罗英宇。 截至发稿，罗英宇累计任职时间5年51天，现任基金资产总规模122.28亿元，任职期间最佳基金回报 144.13%， 任职期间最差基金回报-12.4%。 声明：市场有风险，投资需谨慎。 本文基于第三方数据库自动发布，不代表新浪财经观点，任何在本 文出现的信息均只作为参考，不构成个人投资建议。如有出入请以实际公告为准。如有疑问，请联系 biz@staff.sina.com.cn。 2月9日，云天励飞涨5.04%，截至发稿，报82.88元/股，成交5.41亿元，换手率2.52%，总市值298.04亿 元。 资料显示，深圳云天励飞技术股份有限公司位于广东省深圳市南山区粤海街道深圳湾科技生态园10栋B 座14-15楼、33楼,香港铜锣湾希慎道33号利园1期19楼1922室，成立日期2014年8月27日，上市日期2023 年4月4日，公司主营业务涉及人工智能算法、芯片技术,研发和销售面向应用场景 ...

Core Insights - The article discusses the shift in the global AI computing power focus from training to inference, indicating a competitive landscape for cost-effective and energy-efficient chips [1][2] - The consensus in the industry is that inference chips will dominate AI evolution in the next five to ten years, with companies like Google and Nvidia leading the charge [1][3] - CloudWalk Technology has announced its strategic focus on AI inference chips, aiming to significantly reduce the cost of processing tokens, which are becoming a core productivity driver in the AI landscape [2][3] Industry Trends - The demand has shifted from relying on high-performance GPUs to a pressing need for high-cost performance inference chips [2] - The past year has seen a dramatic increase in the computational requirements for large models, with token processing needs growing hundreds of times, highlighting the importance of inference over training [2][3] - Nvidia's strategic acquisition of Groq's core assets for $20 billion reflects the growing importance of inference chips, with Groq's valuation skyrocketing from $7 billion to $20 billion in just four months [3] Company Strategy - CloudWalk Technology's CEO, Chen Ning, emphasizes the goal of reducing the cost of processing one million tokens by 100 times, aiming for a transformative impact on industrial productivity by 2030 [3][4] - The company is developing a new processor architecture, GPNPU, designed to optimize inference for large models while addressing cost, efficiency, and deployment challenges [5][6] - The GPNPU architecture aims to maintain compatibility with existing CUDA programs, lowering the barrier for integration into production systems [5][6] Product Development - CloudWalk Technology plans to launch the DeepVerse 100, 200, and 300 series chips over the next five years, targeting major clients across various industries [6] - The company is focusing on modular chip design through a "power building block" approach, allowing for scalable and flexible computing solutions [6] - The company has established a strong domestic production capacity, ensuring supply chain security for large-scale chip production and delivery [6]

Group 1 - The Zhongzheng Information Technology Application Innovation Industry Index (300832) has decreased by 2.73%, with component stocks showing mixed performance [1] - The top gainers include Borui Data up by 6.74%, Geer Software up by 5.47%, and Yingshisheng up by 4.97%, while the biggest losers are Fanwei Network down by 9.99%, Zhuoyi Information down by 9.41%, and Foxit Software down by 7.44% [1] - The Xinchang ETF (562570) has dropped by 2.62%, with the latest price at 1.49 yuan, and has seen an active trading volume with a turnover of 10.4% and a transaction value of 44.996 million yuan [1] Group 2 - The Xinchang ETF has experienced a significant increase in shares, growing by 9 million shares over the past week, ranking in the top third among comparable funds [1] - The latest net inflow of funds into the Xinchang ETF is 605.38 million yuan, with a total net inflow of 15.7309 million yuan over the last five trading days, averaging 3.1462 million yuan per day [1] - Yuntian Lifei has announced its strategic layout for large-scale AI inference chips over the next three years, focusing on reducing the cost barriers for large model implementation, aiming for a 100-fold reduction in inference costs using the GPNPU architecture [1] Group 3 - Galaxy Securities anticipates that demand catalysts and intensive bidding will lead to a new cycle for domestic computing power [2] - The Nvidia H200 chip is expected to conditionally enter the Chinese market, which will benefit the development of domestic computing power chips and ecosystems in the long term [2] - The Xinchang ETF closely tracks the Zhongzheng Xinchang Index, emphasizing domestic full-stack substitution and integrating key areas such as storage chips, CPUs, and AIPC, while actively participating in the DeepSeek ecosystem (72%) and AI applications (58%) [2]

本报讯 （王镜茹）2月3日，深圳云天励飞技术股份有限公司（以下简称"云天励飞"）举办"大算力芯片战略前瞻会"，首次 对外公布未来三年的大算力AI推理芯片战略布局。公司宣布将核心研发资源集中于攻克大模型落地的"成本壁垒"，通过底层架 构创新，实现百万Tokens推理成本大幅降低的目标。 推理时代的胜负手不在单点指标，而在系统级协同：既要承接主流软件生态，又要在推理负载下实现更优能效与更低时 延。云天励飞确立了GPNPU技术路线，并提出了"GPNPU=GPGPU+NPU+3D堆叠存储"的核心公式，旨在兼顾通用计算的"通用 性"与NPU的"高效性"，在工程层面同时解决可迁移、可部署、可持续降本三大难题。 在通用生态层面，鉴于CUDA仍是全球最成熟、覆盖最广的加速计算平台之一，云天励飞的GPNPU架构正视主流生态的迁 移成本问题，致力于实现一行代码完成CUDA程序的兼容，极大降低了进入生产系统的门槛。 其次是面向推理的系统级优化能力，公司拒绝单纯的"芯片参数竞赛"，而是主张把"模型怎么跑得更省"沉淀到架构里，围 绕真实业务负载持续迭代，逐项击穿推理链路中的成本与时延瓶颈，最终形成可复制交付的综合最优解。 云天励飞董事 ...

Core Insights - The company announced its strategic focus on large-scale AI inference chips, aiming to reduce the cost of inference for million tokens by over 100 times within the next three years [2][6] - The global computing power industry is shifting towards inference capabilities, with major players like Google and NVIDIA emphasizing system optimization for efficiency and cost reduction [4][5] Group 1: Company Strategy - The company has established the GPNPU technology route, defined as GPGPU + NPU + 3D stacked storage, to address the challenges of portability, deployability, and sustainable cost reduction [5] - The CEO highlighted five key elements of the company's competitive advantage: technology, production capacity, ecosystem, market, and capital, which collectively support the company's strategic goals [5] - The company is one of the few in China with sufficient domestic production capacity, ensuring high certainty for large-scale chip production and delivery [5] Group 2: Industry Trends - The competition in the inference era is shifting from merely enhancing model parameters to improving application efficiency, focusing on lower inference costs and delivery efficiency [4] - The roadmap aims to align with international mainstream platforms, optimizing key inference stages like long context pre-filling and low-latency decoding to achieve cheaper, more stable, and easier deployment [6] - The essence of competition in the inference era is the cost per inference unit, which must be made affordable and stable for AI to transition from a visible capability to an accessible productivity tool [6]