机构观点：震荡中酝酿机会 科技周期双线轮动 针对当前的市场格局，多家券商在早间发布观点，普遍认为市场在震荡中仍有较多结构性机会。 财信证券认为，昨日市场虽然震荡，但承接动能尚可，全市场成交额维持在2.5万亿元之上，短期内大 盘整体或维持稳中向好态势，建议关注业绩向好或具备涨价逻辑的板块。 长沙晚报掌上长沙2月27日讯（全媒体记者 周丛笑）受隔夜外围市场分化及短期获利盘回吐压力影响， 27日，A股市场开盘呈现弱势调整态势。然而，在消息面暖风频吹的背景下，以AI硬件为代表的结构性 热点依旧突出，市场整体呈现出"指数冷、个股热"的分化格局。 开盘直击：指数全线低开 市场情绪偏谨慎 今日开盘，沪深两市主要股指普遍低开。上证指数开盘报4128.90点，下跌17.86点，跌幅0.43%；深证 成指开盘报14375.25点，跌幅0.89%；创业板指表现相对较弱，开盘跌幅达到1.23%。此外，沪深300指 数开盘下跌0.60%，科创赛道也出现分化，中小板综开盘跌幅为0.57%。 盘初数据显示，市场情绪趋于谨慎，下跌个股数量在开盘阶段占据优势，显示出在经历了前期的连续震 荡后，资金在当前点位存在一定的分歧。 消息面：汇率与政策 ...

A股三大指数今日涨跌不一，截至收盘，上证指数跌0.01%，深成指涨0.19%，创业板指跌0.29%，北证 50指数跌0.15%，沪深京三市成交额25566亿元，较上日放量757亿元，三市超2400只个股上涨。 板块题 材上，CPO、铜缆高速连接、光纤、PCB、液冷服务器、风电设备、航空发动机、培育钻石、半导体、 代糖概念股涨幅居前；影视院线、保险、房地产、短剧游戏、汽车整车、贵金属、免税店、白酒、零售 板块跌幅居前。盘面上，隔夜英伟达财报超预期提振AI产业链情绪，CPO、铜缆、液冷服务器、PCB等 AI硬件股集体大涨，天孚通信、亨通光电、申菱环境、华丰科技多股盘中创出历史新高。国产算力芯 片股同样受益AI浪潮集体上扬，寒武纪午后一度涨近10%。商业航天板块午后活跃，电科蓝天、航天动 力涨幅居前。此外，电网设备、培育钻石、环保板块盘中亦有拉升。另一方面，影视院线板块延续弱 势，博纳影业尾盘再度跌停。房地产板块兑现昨日上海楼市新政利好，我爱我家、世联行多股回调。 ...

2月26日早盘，CPO、铜缆、液冷服务器、PCB等AI硬件股集体走强。截至午间收盘，中证科创创业人工智能指数上涨1.4%，上证科创板人 工智能指数上涨1.0%，中证人工智能主题指数上涨0.9%。Wind数据显示，截至昨日，人工智能ETF易方达（159819）近5个交易日连续获资 金净流入，合计超6亿元。 | 人工智能ETF易方达(00) | | | 159819 | | --- | --- | --- | --- | | 跟踪中证人工智能主题指数 | | | | | | | | ··· ////////// | | 该指数覆盖A股人工智能产 | | | | | 业链龙头,由市场中50只 | 截至午间收盘 | 该指数 | 该指数自2015年 | | 市值较大目业务涉及人工 | 该指数涨跌 | 滚动市销率 | 发布以来估值分位 | | 智能基础资源、技术以及 | | | | | 应用支持的股票组成，计 | 0.9% | 5.1倍 | 96.8% | | 算机、电子、通信行业合 | | | | | 计占比约90%。 | | | | | 科创创业人工智能ETF易方达 | | | 159140 | | 跟踪中证科创创业 ...

Core Viewpoint - The A-share market showed mixed performance with the Shanghai Composite Index slightly declining while other indices experienced gains, indicating a varied investor sentiment across sectors [1] Market Performance - As of the midday close, the Shanghai Composite Index fell by 0.08% to 4144.08 points, while the Shenzhen Component Index rose by 0.28% and the ChiNext Index decreased by 0.39% [1] - The North China 50 Index also increased by 0.28% [1] - The total trading volume in the Shanghai and Shenzhen markets reached 16,498 billion yuan, an increase of 1,176 billion yuan compared to the previous day [1] - Over 2,300 stocks in the market experienced gains [1] Sector Performance - AI hardware sectors, including CPO, copper cable high-speed connections, and liquid-cooled servers, led the market gains [1] - Conversely, sectors such as film and television, real estate, and precious metals underwent adjustments [1]

刘泽龙 长江证券通信分析师: 各位投资人大家晚上好，我是长江通信的分析师刘德龙，给大家汇报一下我们对整个 26 年升腾行业的一个观点和展望。首先我们在整个 26 年是非常看好整个升腾及产业链后续 的这个发展和上涨的。那首先的话，我们看好它主要基于这个，一方面我们非常看好今年 国产算力整体的贝塔。在春节期间大家也看到了一个非常明确的产业变化，叫 ToG 出海。 其实这个出海，背后代表了两件事情。一个是我们目前，其实就两个事，一个是性能够， 一个是中国的模型出海的话，单位 Tokens 的价格比较便宜。 性能够的话，我们更多会觉得，这体现在这个当你模型的性能迭代有了一定放缓之后，中 国的性能差距相当于海外没有那么大，中国厂商觉得是能够海外客户是觉得是能够满足需 求，同时的话，那我们会看到中国的 token 的单位价格是便宜的。可能大 家会有疑惑， 说我们国产算力为什么你如果按理说单位的算力下的价格，其实不如海外的英伟达呀，然 后包括这些厂商有那么便宜的价格但是我们会有更多的运营成本的优势。包括一些配套的 零部件，包括一些供电，包括一些人员维护，我们觉得把这些成本综合起来看的话，其实 在一定程度上可以抹平国产算力和 ...

关于我们 联系方式 网站声明 用户反馈 网站地图 ID: 100104 帮助 CUILIT 首页 Faris 旗 FM 156 H T 狙击龙虎榜】情绪与指数有所背离市场或未走出调整 深 t 受益于Al等新兴产业长期需求访动的品种 黄河旋风：2月23日Akash Systems 宣布, 已向印度主权云服务商 NxGen Al Pvt Ltd 交付全球首批搭载 Diamond Cooling® 技术的英伟达GPU服务器。这是全球首次将"金刚石导热技术"正式部署于商用AI服务器体系。早在2024年12月，Akash Syste ms就已与印度云服务商NxtGen签署了一份价值2700万美元的合同，计划部署金刚石冷却服务器，所以这次交付并非一次性的 产品测试,而是有长期合同支撑的商业化落地,具备重要意义。黄河旋风已成功研制出国内可量产的最大8英寸金刚石热沉 片,计划于2026年2月投入量产。其多晶热沉片已通过华为验证,并进入"6-8英寸晶圆级"量产阶段。未来最大的预期是与中 国"超赢钻石科技"一起切入英伟达散热供应链。 网宿科技：Token的成本结构中，电力和算力占比超过70%。当一个美国开发者调用中国大模型时，数 ...

我身边有位朋友，前阵子看到AI板块大涨就急忙跟进，结果刚买入就遇上调整，亏了不少。事后复盘才发现，当 时看似强势的上涨，其实早已被「获利回吐」行为主导，只是他只看了股价涨跌，没看懂背后的交易行为。很多 时候，机构资金会利用上涨的表象"演戏"，即便在高位派发筹码，也会维持股价涨势，让普通投资者误以为行情 还能延续，傻乎乎地接盘。 看图2： 近期A股市场热点轮动快得像坐过山车，AI硬件板块突然爆发，CPO、液冷服务器等细分领域掀起涨停潮，电网 设备板块也跟着火了一把。不少人看着盘面涨跌心跳加速，涨了就追，跌了就跑，结果往往是追在高位、割在低 点，反复被市场"教育"。其实很多人都忽略了，市场的本质不是简单的买卖博弈，而是由无数复杂交易行为构成 的多维系统。利好未必涨、利空未必跌的背后，藏着资金真实的交易意图，而量化大数据，正是帮我们跳出涨跌 迷局、看清市场真相的关键工具。 一、跳出涨跌，看见真实交易行为 大多数人对交易的理解还停留在"买的人多涨、卖的人多跌"的表层，但通过量化大数据对交易行为的长期跟踪， 能发现市场里的交易远不止这两种，核心可归纳为四类：「做多主导」代表资金积极参与行情；「获利回吐」是 资金少量兑现 ...

Core Viewpoint - AGM Group Holdings Inc. is strategically positioning itself to transition from an AI hardware supplier to a comprehensive AI + Web3 ecosystem platform through initiatives in Real World Asset (RWA) tokenization, mass production of Kraken All-Flash AI Servers, and a partnership with MusicDog.ai [1][2][5] Group 1: RWA Financing - The company signed a Memorandum of Understanding (MOU) with Amber Premium to explore RWA tokenization of its real-world assets, including high-performance servers and data center assets [3] - This partnership aims to leverage Amber Premium's blockchain technology to activate new asset tokenization pathways [3] Group 2: Kraken Servers - AGM launched the ValleyVerse Kraken All-Flash Cluster Storage Server, designed for generative AI and high-performance computing, featuring ultra-high IOPS and superior scalability [4] - The company plans to achieve mass shipments of Kraken servers in Q2 2026, generating revenue through direct sales and partnerships [6] Group 3: MusicDog.ai Partnership - A Letter of Intent (LOI) was signed with MusicDog.ai to enhance collaboration in three areas: cash flow improvement, hardware revenue realization, and computing power for AI music applications [5] - The partnership aims to develop audio-specific ASICs and explore blockchain-based copyright mechanisms for AI-generated music [6] Group 4: Strategic Vision - The CEO emphasized the integration of RWA, Kraken servers, and MusicDog.ai as part of a broader strategy to drive AI innovation and build a Web3 ecosystem [6] - The company is focused on creating a sustainable strategic value for shareholders through its "Cash Flow + Hardware Infrastructure + AI Smart Applications" model [2][7]

Core Viewpoint - The A-share market showed a collective increase in the morning session, indicating positive investor sentiment and market activity [1] Market Performance - The Shanghai Composite Index rose by 0.12% to 4137.06 points [1] - The Shenzhen Component Index increased by 0.81% [1] - The ChiNext Index saw a rise of 1.18% [1] - The North China 50 Index gained 0.49% [1] - The total trading volume in the Shanghai and Shenzhen markets reached 1.34 trillion yuan, an increase of 30.5 billion yuan compared to the previous day [1] - Over 2700 stocks in the market experienced an increase [1] Sector Performance - Strong performance was noted in sectors such as power grid equipment, small metals, and AI hardware [1] - Adjustments were observed in sectors including film and television, tourism, and banking [1]

Core Insights - The AI hardware market is still in its early stages, with a majority of users expressing dissatisfaction with current products [2] - The focus of discussions at the AI Product Marketplace Meetup was on the unique value proposition of AI hardware in comparison to smartphones [2] Group 1: AI Hardware Market Dynamics - The current AI hardware landscape features a variety of products, but user satisfaction remains low, indicating a need for improvement [2] - A significant portion of the market consists of early adopters, with only 2% being technology enthusiasts and 10% early adopters [2] - The Meetup aimed to explore the irreplaceability of AI hardware and its ability to justify additional costs for users [2] Group 2: Case Study of Plaud - Plaud, an AI recording card, has emerged as the most frequently used AI hardware, addressing a specific need for call recording among Apple users [5][6] - The product's success is attributed to its focus on a critical pain point within the Apple ecosystem, where traditional call recording is restricted [6] - Plaud's pricing strategy allows it to charge 6 to 7 times its BOM cost, targeting professionals who value efficiency and are willing to pay a premium [8] Group 3: Competitive Landscape - Major companies like DingTalk and Feishu are entering the recording hardware market, but Plaud maintains a leading position due to its early market entry [10][12] - The competition is expected to intensify, with new entrants offering lower-cost recording devices, potentially leading to a price war in the hardware segment [12] Group 4: Smart Glasses Market - The smart glasses market is highly competitive, dominated by tech giants like Meta, Google, and Apple, which aim to create a new computing platform [14][15] - Startups are focusing on niche markets to achieve product-market fit, often by creating specialized products that cater to specific user needs [17] - Successful products in this space, such as the collaboration between Meta and Ray-Ban, have effectively reduced market education costs and appealed to consumer preferences [18] Group 5: Emotional AI Hardware - Purely emotional AI hardware products face challenges in establishing sustainable business models, as they often lack practical functionality [25][26] - Emotional value can be integrated into products that already serve a primary function, such as caregiving or education, rather than standalone "companionship" devices [27] Group 6: Software-Defined Hardware - The future of AI hardware is shifting towards a model where software and AI services define the value of the hardware, rather than the hardware itself [31][33] - The concept of "software-defined hardware" emphasizes designing hardware around specific software needs, leading to more flexible and targeted product development [35] - Companies must recognize the importance of both hardware differentiation and software capabilities to succeed in the evolving market [37][40] Group 7: Business Models and Product Design - The commercial viability of AI hardware is closely tied to its business model, which can dictate whether the focus is on low-cost hardware or premium pricing [43][46] - A subscription-based model may emerge, where hardware is offered at minimal cost while revenue is generated through AI services [44]