截至2025年12月8日 09:46，中证人工智能主题指数(930713)强势上涨1.33%，成分股复旦微电(688385)上 涨4.83%，中科星图(688568)上涨4.18%，中际旭创(300308)上涨3.68%，光迅科技(002281)，新易盛 (300502)等个股跟涨。AI人工智能ETF(512930)上涨1.15%， 冲击3连涨。最新价报2.11元。 消息面上，OpenAI计划最快在下周初发布GPT-5.2更新，旨在缩小与谷歌公司Gemini 3之间的性能差 距。Gemini 3是上个月发布后登顶了性能排行榜，并获得了OpenAI首席执行官Sam Altman和马斯克高度 评价的竞争模型。GPT-5.2已准备就绪，代表了OpenAI在AI军备竞赛中对市场竞争做出的迅速、直接的 反应。近日，Altman宣布公司进入"红色警报 (code red)"状态，以快速应对来自谷歌Gemini 3和 Anthropic等竞争对手带来的日益增长的压力。 AI人工智能ETF(512930)，场外联接(平安中证人工智能主题ETF发起式联接A：023384；平安中证人工 智能主题ETF发起式联接C：023385； ...

过去很长一段时间，市场提到国产芯片的第一反应往往是"卡 脖子"或者"不好用"。但经过产业链上下游多年的追赶，情况 正在发生改变：2025年的国产芯片行业已呈现出一番新气 象。 作者：郑晨烨 封图：图虫创意 11月22日，在西宁一场高校电竞比赛现场，一台外观低调的台式电脑正在运行高负载的大型电脑 游戏《黑神话：悟空》。 这台机器并未搭载英特尔或AMD（超威半导体）的处理器，但实时画面帧率（指每秒钟连续显示 的图像的数量）却维持在极高水平。"在测试中，《无畏契约》的帧率接近200帧，《黑神话：悟 空》的帧率接近300帧。"青岛雷神科技股份有限公司（下称"雷神科技"）台式机产品总监丁国彦 在接受经济观察报采访时分享了这两个大型电脑游戏的实测数据，并指出上述设备搭载的是国产海 光C86处理器。 这个数据具有标志性意义。对主流大型竞技游戏而言，60帧通常被视为画面流畅的"及格线"。超 过144帧乃至达到200帧，意味着硬件性能已能够满足职业电竞场景下对毫秒级响应速度的严苛需 求。 类似的突破在2025年还有很多。在汽车制造端，11月19日下线的广汽昊铂GT"攀登版"，其智能 座舱与音频处理完全由瑞芯微（603893.S ...

Core Insights - The leading domestic large-scale intelligent computing supercluster system is set to debut at the HAIC2025 from December 17 to 19, 2025, in Kunshan, which will provide comprehensive support for breaking through the domestic AI computing power bottleneck and further improve the AI computing power industry chain layout [1][2] Group 1: Technology and Design - The supercluster system is designed with an open collaboration core concept and will feature domestically developed high-speed interconnect network technology, which is expected to break industry records for computing power density and achieve both "scale expansion" and "performance enhancement" [1] - The system is based on the Shuguang scaleX640 super node technology, potentially reaching a computing power scale of tens of thousands of cards, placing it at the forefront of domestic intelligent computing devices [2] Group 2: Performance and Compatibility - The scaleX640 super node is the world's first single cabinet-level 640-card super node, with a "one-to-two" high-density architecture that can form a thousand-card computing unit, doubling performance and increasing density by 20 times compared to similar products [2] - In scenarios involving MoE trillion-parameter large models, performance is expected to improve by 30% to 40%, and the system is compatible with multiple brands of domestic accelerator cards, showcasing significant adaptability and cost-performance advantages [2] Group 3: Industry Impact - The potential release of the tens of thousands of card supercluster represents a milestone for domestic intelligent computing, transitioning from "single-point breakthroughs" to "clustered implementation" [2]

证券之星消息，12月5日，国企改革（399974）指数报收于1869.16点，涨0.91%，成交1154.51亿元，换 手率0.76%。当日该指数成份股中，上涨的有71家，金风科技以5.46%的涨幅领涨，下跌的有28家，深南 电路以2.74%的跌幅领跌。 国企改革（399974）指数十大成份股详情如下： | 证券代码 | 股票简称 | 权重 | 最新价 | 涨跌幅 | 总市值(亿元) | | 所属行业 | | --- | --- | --- | --- | --- | --- | --- | --- | | sh601899 | 紫金矿业 | 3.48% | 31.32 | 2.05% | | 8324.09 | ■ 有色金属 | | sh600036 | 招商银行 | 3.03% | 43.45 | 0.53% | | 10958.02 | ● 银行 | | sh600900 | 长江电力 | 2.98% | 28.07 | -0.60% | | 6868.23 | 公用事业 | | sz002371 | 北方华创 | 2.96% | 450.50 | 0.16% | S | 3263.76 | 甲子 | ...

Investment Rating - The report indicates a positive outlook for the liquid cooling industry, highlighting the entry of domestic supply chains and the expected growth in market value [1]. Core Insights - Liquid cooling technology is deemed essential for addressing the heat dissipation challenges in data centers, offering advantages such as low energy consumption, high cooling efficiency, low noise, and reduced total cost of ownership (TCO) [3][10]. - The value of liquid cooling systems is projected to increase significantly with the upgrade of chips, with estimates suggesting that the market for ASIC liquid cooling systems could reach 35.3 billion yuan and for NVIDIA systems could reach 69.7 billion yuan by 2026 [4]. - The report emphasizes the transition from traditional air cooling to liquid cooling as a necessity due to the rising power density of chips, with liquid cooling becoming a mandatory solution for high-density server environments [21][31]. Summary by Sections Liquid Cooling Technology - Liquid cooling is identified as a critical solution for data center heat dissipation, leveraging the high thermal conductivity and capacity of liquids compared to air [10][14]. - The technology is characterized by its ability to significantly reduce energy consumption and improve cooling efficiency, with liquid cooling systems capable of achieving a PUE (Power Usage Effectiveness) of below 1.2 [14][31]. Liquid Cooling Industry - The report notes that the value of liquid cooling will rise alongside chip upgrades, with a projected growth of over 20% for rack liquid cooling modules as chip power density increases [4]. - Domestic supply chains are expected to accelerate their entry into the market, particularly as NVIDIA opens its supplier list to include multiple vendors, allowing for greater competition and innovation [4]. Rubin Architecture Outlook - The report discusses the limitations of single-phase cold plates for the Rubin architecture, which has a thermal design power (TDP) of 2300W, necessitating the exploration of new liquid cooling solutions such as phase change cold plates and microchannel cold plates [4][21]. - Microchannel cold plates are anticipated to become a preferred solution due to their ability to handle higher power densities and their compatibility with future architectural developments [4]. Related Companies - The report suggests monitoring companies such as Yingweike, Shenling Environment, Gaolan Co., Hongsheng Co., Zhongke Shuguang, and Jieban Technology, as they are positioned to benefit from the increasing demand for efficient and energy-saving heat exchange solutions in data centers [5].

记者获悉，国产大规模智算超集群系统或将于12月17日至19日在光合组织2025人工智能创新大会 （HAIC 2025）亮相。据靠近中科曙光公司人士透露，将于大会上发布的大规模智算超集群系统依托曙 光scaleX640超节点技术设计，规模则可提升至万卡级，这或是国产智算超集群系统的首次万卡真机亮 相发布。（科创板日报） ...

Core Viewpoint - The AI storage market is experiencing significant growth, prompting companies to accelerate their investment and development efforts in high-end storage solutions to meet increasing demand driven by AI technologies [1][2]. Group 1: Company Developments - Jiangbolong plans to raise up to 3.7 billion yuan for R&D and industrialization of high-end storage solutions targeting the AI sector, semiconductor storage control chips, and high-end packaging and testing [1]. - Demingli aims to raise up to 3.2 billion yuan for expanding SSD and DRAM production, as well as establishing a smart storage management and R&D headquarters [2]. - Zhaoyi Innovation reported rapid market share gains for its DDR4 8Gb products and plans to mass-produce self-developed LPDDR4 series products next year [3]. Group 2: Market Trends - The demand for storage is being driven by the exponential growth of generative AI and large model technologies, leading to a significant increase in data processing needs [1]. - DRAM spot prices surged, with DDR5 chips increasing by 30% in one week due to tight supply and limited shipments from major module manufacturers [2]. - The storage industry is expected to enter a prolonged "super cycle" due to AI-driven supply shortages, with market demand continuing to rise [1][2]. Group 3: Industry Standards and Collaboration - The establishment of the Future Storage working group aims to develop AI storage standards and promote a technical framework for storage architecture and performance evaluation [3][4]. - The working group will focus on key technologies such as KV Cache optimization and storage acceleration for AI inference [3].

Core Insights - The report emphasizes that computational power is accumulating, leading to significant advancements in applications, particularly in AI, with a projected 10% impact point approaching in 2026 [3] - Institutional holdings in the computer sector are at a historical low of 2.4%, indicating potential for growth in valuations [3][21] - The report identifies three key focus areas for 2026: large models, computational power, and applications, all showing significant changes and accelerated iterations [3] Group 1: Market Overview - The computer index has shown a year-to-date increase of 18%, ranking 12th among all sectors, with AI computing, embodied intelligence, and AI applications as the main themes [9][10] - The report notes a basic performance turning point, with net profit rebounding and a stable overall performance expected for 2025 [10][13] Group 2: Valuation and Holdings - The report indicates that the computer sector's valuation is at a historical mid-to-high level, with PE (TTM) at 85.4, PS (TTM) at 3.6, and PCF (TTM) at 46.6 [18] - The report highlights that the computer sector's fund allocation is at a historical low, with a 2.4% allocation in Q3 2025 [21] Group 3: AI Model Developments - The report discusses the rapid narrowing of the performance gap between Chinese and American large models, with significant advancements in commercial applications expected [3][26] - It highlights the emergence of various large models in 2025, focusing on monetization, AI programming, and multi-modal capabilities [26][29] Group 4: Key Companies and Trends - The report identifies key companies in the computer sector, such as Zhongke Shuguang and Inspur Information, which have seen significant increases in their market values due to rising domestic computational capacity [23] - The report notes that the demand for AI applications is driving growth in various sectors, with companies like Alibaba and ByteDance leading in AI-related job creation [40]

Group 1 - The Web3.0 concept has seen a decline of 3.15%, ranking among the top declines in concept sectors, with notable declines in companies such as Fushi Holdings, Rongji Software, and Xuan Ya International [1][2] - Among the Web3.0 sector, five stocks experienced price increases, with Jia Chuang Video, Guanxiang Technology, and Xiamen Xinda leading the gains at 6.23%, 4.71%, and 2.34% respectively [1][2] Group 2 - The Web3.0 sector experienced a net outflow of 3.468 billion yuan, with 55 stocks seeing net outflows, and seven stocks exceeding 100 million yuan in outflows, led by BlueFocus with a net outflow of 707 million yuan [2][3] - Other companies with significant net outflows include Rongji Software, Zhongke Shuguang, and Kunlun Wanwei, with net outflows of 454 million yuan, 293 million yuan, and 237 million yuan respectively [2][3] - Conversely, the stocks with the highest net inflows include Xiamen Xinda, Jia Chuang Video, and Quzhou Development, with net inflows of 72.86 million yuan, 57.14 million yuan, and 55.57 million yuan respectively [2][4]

Core Viewpoint - DeepSeek has officially released versions V3.2 and V3.2-Speciale, significantly enhancing its Agent capabilities and integrating reasoning and thinking [1] Group 1: Product Development - The new versions of DeepSeek are based on China's first AI computing open architecture, achieving "cross-layer collaboration" across hardware, software, and model layers [1] - The products, including the Shuguang AI supercluster system and scaleX640 super nodes, have completed deep adaptation and tuning for the new DeepSeek versions [1] Group 2: Market Application - The enhancements in DeepSeek support full-scale deployment for clients across various industries [1]