消息面上，英伟达首席执行官黄仁勋日前接受采访时表示，AI建设"还有七到八年的路要走"，当前所见 的仅是漫长建设周期的开始，而整体算力需求很高，芯片产品需求远超预期。包含旧一代GPU在内的产 品依然供不应求，这反映出市场对AI计算资源的强劲需求。 A股市场高开高走，沪指涨超1%，深成指涨超2%。从板块来看CPO概念集体走强，千亿市值巨头天孚 通信盘中触及20cm涨停，创历史新高；杰普特、长飞光纤、安孚科技、兆驰股份涨停，光库科技、炬 光科技、太辰光、新易盛、中际旭创等跟涨。 （文章来源：21世纪经济报道） 招商证券表示，过去一周，微软、Meta、亚马逊、谷歌等海外科技公司先后发布季度财报，四家公司 明确表示将持续扩大AI领域的相关投资，资本开支持续超预期。有机构统计，根据谷歌、微软、亚马 逊和Meta近日披露的最新资本支出计划，这四大科技巨头在2026年的开支总额预计将高达约6500亿美 元。 ...

本文信息综合自北京芯升半导体科技有限公司（下称 " 芯升半导体 " ）官方公众号信息，并参考硬氪独家报道，旨在全面呈现国产车规级核心芯片企业的最新发展动态与行业突破。 据芯升半导体官方公众号最新披露，公司近日成功完成近亿元天使轮融资，本轮融资由中关村启航担任领投方，陆石投资、和高资本、零以创投、中科光 荣、元起资本、国开科创、高创智行及三贤科技共同跟投。此次募集资金将专项用于核心产品研发与量产筹备，重点推进车载以太网交换芯片、下一代车 载光纤通信芯片的研发迭代、流片测试及产能建设，加速国产车载核心芯片的市场化落地进程。 在应用场景拓展上，依托TSN技术的跨行业通用价值，公司计划在汽车领域站稳脚跟后，逐步将技术平台延伸至具身智能、工业自动化、轨道交通、商业 航天等关键行业，打开更广阔的成长空间。 本轮融资后，芯升半导体将加速推进两大核心产品研发：面向下一代智能汽车的SV31系列车载以太网交换芯片，以及前瞻性的车载光纤通信芯片，两款 产品均计划于2026年下半年正式推出。 陆石投资董事总经理吴昊在接受硬氪采访时表示，随着汽车电子电气架构的快速演进，TSN芯片的国产化替代需求日益迫切。芯升半导体作为初创企业即 通过 ...

Investment Rating - The industry investment rating is "Positive" (maintained) [1] Core Insights - The CXL protocol ecosystem is continuously improving, with major CPU manufacturers like Intel and AMD releasing CPUs that support CXL 2.0, enhancing compatibility and performance [5][11] - The demand for memory bandwidth and capacity is increasing in the AI era, leading to a need for solutions that address the "compute-storage imbalance" [12][13] - CXL technology allows for the construction of memory pools, enabling the decoupling of storage and compute resources, which is essential for optimizing resource utilization across devices [14][15] Summary by Sections CXL Protocol Ecosystem - The CXL protocol is being adopted by leading CPU manufacturers, with Intel and AMD launching compatible CPUs, and companies like SK Hynix and Samsung developing CXL-compatible memory modules [11][8] - The introduction of CXL Switch technology by Alibaba Cloud marks a significant advancement in server architecture, allowing for efficient memory resource sharing [20][10] Memory Pool Construction - CXL can create memory pools that address the challenges of memory islands and data overflow in data centers, enhancing memory utilization and performance [14][12] - The CXL protocol includes three core sub-protocols that facilitate memory pooling and management, allowing for dynamic memory allocation across multiple servers [15][16] Future Demand Projections - By 2030, the demand for CXL Switch and CXL MXC chips is projected to reach 7.06 million and 64.52 million units, respectively, under optimistic scenarios [27][28] - The report suggests that as the CXL ecosystem matures, the shipment volumes of CPUs and servers compatible with CXL protocols will gradually increase [29] Investment Recommendations - The report recommends focusing on companies such as 澜起科技 (CXL MXC chip supplier), 江波龙 (CXL AIC expansion card supplier), 佰维存储 (CXL 2.0 DRAM memory expansion module supplier), and 聚辰股份 (VPD chip supplier for CXL modules) as potential investment opportunities [29][5]

Core Viewpoint - Space is predicted to become the preferred location for AI infrastructure within 30 to 36 months, with annual AI computing power in space expected to exceed the cumulative total on Earth within five years [1][12][20]. Group 1: AI and Space Infrastructure - The total intelligence of AI may surpass human intelligence within five to six years, with human intelligence potentially constituting less than 1% of all intelligence [2][25]. - Companies entirely composed of AI and robots are expected to outperform any company with human involvement [2][31]. - The energy supply is a critical factor for building data centers in space, as energy production outside of China is stagnating while chip production is rapidly increasing [3][6]. Group 2: Energy and Cost Efficiency - Solar panels in space can generate power at five times the efficiency of those on Earth, eliminating the need for batteries, thus reducing costs significantly [4][9]. - The cost of solar panels is currently around $0.25 to $0.30 per watt in China, and costs could decrease by up to tenfold when deployed in space [9][23]. - The average electricity consumption in the U.S. is about 500 GW, and achieving 1 TW of power generation in space would require significant advancements in energy production [5][20]. Group 3: Challenges in Energy Production - Building power plants is complex, requiring extensive infrastructure and facing regulatory hurdles, which slows down the process [6][10]. - The demand for electricity for data centers is underestimated, with actual needs being much higher due to cooling and maintenance requirements [10][21]. - The U.S. is facing a bottleneck in energy production, which could hinder the launch of large-scale AI chip operations [21]. Group 4: Manufacturing and Supply Chain - The manufacturing of chips is constrained by existing foundries, which are unable to meet the growing demand for AI chips [19][18]. - There is a significant backlog in turbine orders, which complicates the establishment of new power generation facilities [11][12]. - SpaceX and Tesla aim to produce 100 GW of solar panels annually, controlling the entire supply chain from raw materials to finished products [8][34]. Group 5: Competitive Landscape - Without breakthrough innovations in the U.S., China is poised to dominate the AI and manufacturing sectors [2][37]. - China's energy production is projected to exceed that of the U.S. by three times, indicating its industrial capabilities [37]. - The U.S. faces challenges in maintaining a competitive edge due to lower birth rates and a declining workforce, making advancements in robotics and AI crucial [36][37].

2月9日，港股恒生指数、恒生科技指数午后双双走高，截至发稿，均涨近2%。 | 名称 | 现价 | 涨跌幅, | 涨跌 | | --- | --- | --- | --- | | 智谱 | 278.600 | 37.11% | 75.400 | | 迅策 | 59.800 | 13.04% | 6.900 | | MINIMAX-WP | 518.000 | 12.36% | 57.000 | | 阅文集团 | 38.080 | 10.63% | 3.660 | | 金山云 | 7.120 | 9.71% | 0.630 | | 汇量科技 | 14.190 | 8.49% | 1.110 | | 讯飞医疗科技 | 86.550 | 8.19% | 6.550 | | 阜博集团 | 4.600 | 7.98% | 0.340 | | 迈富时 | 40.860 | 8.27% | 3.120 | | 明略科技-W | 242.800 | 7.62% | 17.200 | 编辑｜钉钉 半导体、芯片股领涨，兆易创新涨超11%，上海复旦涨超10%，华虹半导体、中芯国际涨近5%。 | 兆易创新 | 313.000 | 11 ...

Group 1 - The core viewpoint of the article highlights the performance of the Chip ETF Huatai Fu (516920), which opened with a 2.00% increase, reaching 1.124 yuan [1] - The major holdings of the Chip ETF include companies such as Cambricon, which rose by 2.22%, SMIC by 1.86%, and Haiguang Information by 3.43% [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 10.18% since its establishment on July 27, 2021, and a recent one-month return of -0.42% [1]

| 代码 | 名称 | 现价 | 涨跌 | 涨跌幅 | | --- | --- | --- | --- | --- | | HSI | 恒生指数 | 27080.46 | 520.51 | 1.96% | | HSTECH 恒生科技 | | 5449.49 | 103.29 | 1.93% | | HSBIO | 恒生生物科技 | 15497.86 | 279.19 | 1.83% | | HSCEI | 恒生中国企业指数 | 9195.62 | 164.24 | 1.82% | | HSCI | 恒生综合指数 | 4146.05 | 85.23 | 2.10% | 2月9日，港股恒生指数、恒生科技指数午后双双走高，截至发稿，均涨近2%。 | 兆易创新 | 313.000 | 11.07% | 31.200 | | --- | --- | --- | --- | | 上海复日 | 51.900 | 10.19% | 4.800 | | 骏码半导体 | 0.122 | 7.96% | 0.009 | | 峰昭科技 | 139.400 | 6.66% | 8.700 | | 天域半导体 | 51.950 | 6. ...

A股澜起科技为科创50ETF第三大重仓股，截止发稿上涨5.07%，带动科创50ETF（588000）上涨2.2%。 从资金面来看，近5日市场连续调整下，资金流入科创50ETF30.3亿元，逢低布局较为明显。均线位置 来看，科创50ETF触碰45日均线后企稳反弹，建议逢低关注。 2月9日，澜起科技在港交所挂牌上市，开盘价168港元，较发行价上涨57.1%，市值超1900亿港元。作 为全球最大内存互连芯片供应商，澜起科技预计2025年净利润增长52%-66%，扣非净利润增幅最高近 70%，主要受益于AI产业需求旺盛推动芯片出货量增加。 ...

Investment Rating - The investment rating for the industry is "Outperform" (maintained) [3] Core Insights - The release of the Claude Opus 4.5 model by Anthropic in November 2025 marked a significant turning point for AI agents, leading to a notable increase in CPU demand as it transitioned from a supportive unit to a central scheduling and execution hub [4][6] - The report anticipates a substantial rise in CPU demand driven by the explosion of AI agents, with server CPU configurations evolving from 1:32 to 1:4, and even reaching 1:2 in advanced products [4][60] - The CPU market is expected to experience a price increase due to rising demand, precious metal material costs, and a scarcity of advanced process capacity, with a 10% price increase already observed as of February 2026 [4][66][69] - The report highlights the competitive landscape of the global CPU market, predicting Intel's market share in server CPUs to be around 55% and AMD's to be approximately 40% by 2026, indicating a clear dominance and head effect [4][72] Summary by Sections 01 Phenomenal Events of Agents - The emergence of AI agents is transforming workflows, moving from simple question-answering to complex task execution and result delivery [4][12] 02 Evolution of Opus 4.5 Model - Opus 4.5 has achieved a qualitative leap in delivering complex tasks, acting as a highly autonomous AI engineer capable of managing extensive project files and dependencies [29][33] 03 Explosion of CPU Demand Under Agents - The demand for CPUs is expected to surge as AI agents require more processing power for task execution, orchestration, and high concurrency, with the CPU becoming a critical bottleneck in AI systems [60][61] - The report outlines the four major costs associated with agent tasks that establish the CPU's bottleneck position: tool execution, sandbox isolation, high concurrency, and KV cache [61][62] Market Dynamics - The report discusses the competitive dynamics between x86 and ARM architectures, with x86 maintaining a stronghold in the server market due to its stability and mature software ecosystem, while ARM is gaining traction in energy efficiency and specific ecosystems [80]

每经AI快讯，港股芯片股今日回暖。截至发稿，澜起科技(06809.HK)涨52.31%，报162.8港元；兆易创 新(03986.HK)涨10.5%，报311.4港元；华虹半导体(01347.HK)涨5.89%，报105.1港元；中芯国际 (00981.HK)涨4.29%，报70.5港元。 ...