来源：光大证券微资讯 英伟达发布重磅财报，科技行业又迎机遇！ 美国当地时间2月25日，全球投资者都在关注的英伟达财报重磅发布，2026财年第四季度英伟达取得丰 硕成果，营业收入高达681亿美元，刷新历史纪录；GAAP净利润达到429.6亿美元，毛利率高达75%。 在发布大超预期的财报之前，英伟达相关负责人展示了Vera Rubin机架的细节，涉及130万个组件、80 多家供应商。 展望未来，生成式AI带来算力需求的大幅增长，叠加英伟达不断提升技术水平，全球算力产业链依然 维持较高景气度。 1、英伟达财报大超预期，营收指引高达780亿美元 无论对于总市值高达4.75万亿美元的英伟达能否站稳当前位置，还是市场担忧人工智能出现较大泡沫， 英伟达四季报都是关键影响因素。 在NVLink技术的加持下，英伟达Grace Blackwell芯片继续占据推理算力的大部分市场，该产品也让算 力成本快速下降。 中国市场一直是英伟达的核心区域，在H20获得出口许可后，该芯片的销售收入为6000万美元。H200芯 片尽管已被允许向中国客户出口，但是仍未产生收入。美国的出口政策让英伟达在中国市场处于被动局 面，再加上国产GPU厂商快速 ...

Core Insights - Nvidia reported record revenue of $68.127 billion for Q4, a 73% increase from $39.331 billion year-over-year, and a net profit of $42.96 billion, up 94% from $22.091 billion [1] - For the full fiscal year, Nvidia's revenue reached $215.938 billion, with a net profit of $120.067 billion, equating to approximately $328 million per day [1] - Nvidia's performance serves as a barometer for AI demand, indicating that for leading players, there is no downturn, only a resurgence [1] Financial Performance - Nvidia's Q4 revenue of $68.127 billion is a significant milestone, reflecting the ongoing high costs associated with AI [3] - The data center business contributed $62.3 billion in Q4, a 75% year-over-year increase, accounting for over 91% of total revenue [3][4] - Nvidia's full-year revenue surpassed $200 billion for the first time, reaching $215.938 billion [4] Market Dynamics - Nvidia's CEO expressed confidence in the growth of customer cash flows, attributing it to the recognition of the value of Agentic AI across various enterprises [2] - Major cloud providers like Google, Amazon, Meta, and Microsoft are significantly increasing their capital expenditures, with a projected combined spending of nearly $700 billion by 2026 [3] Strategic Initiatives - Nvidia aims to establish a comprehensive AI ecosystem on its platform, encompassing various sectors such as AI, robotics, and life sciences [5] - The company is nearing an agreement with OpenAI for a potential $100 billion AI infrastructure project and has acquired technology from AI startup Groq for approximately $20 billion [5] - Nvidia acknowledges the competitive landscape in China, where local companies are making significant advancements [6] Industry Trends - A McKinsey survey indicates that over 70% of CIOs at large enterprises plan to double their technology spending between 2026 and 2027, with 70% of budgets redirected towards AI [8] - The ROI of AI remains elusive, with clients demanding significant productivity improvements in exchange for large orders [8] - The emergence of Agentic AI is drastically reducing development costs, allowing single individuals to complete tasks that previously required entire teams [9] Future Outlook - Nvidia's inventory is fully booked until 2027, with seamless transitions between product iterations [10] - The company is set to begin mass production of its next-generation Vera Rubin platform in the second half of the year, anticipating widespread deployment among cloud model builders [10]

Investment Rating - The report maintains a neutral stance on Nvidia, indicating that the company is currently perceived as leaning towards OpenAI rather than maintaining a neutral position in the AI model competition [6]. Core Insights - Nvidia's stock has seen a modest increase of 7-8% over the past six months, significantly lagging behind other AI-related stocks, such as TSMC, which rose by 73%, and memory chip stocks that surged by 180-300% [5]. - The upcoming earnings report is viewed as a crucial opportunity to reshape market narratives, focusing not only on financial performance but also on narrative reconstruction [5]. - Nvidia's announcement of the full-scale production of the Rubin GPU ahead of schedule is expected to support revenue acceleration, especially in light of unclear timelines for competitors like AMD [6]. - The company is confident in maintaining a gross margin of around 70% despite rising cost pressures, which is expected to be reiterated in the upcoming earnings call [6]. - The Nvidia GTC event scheduled for March 16-19 is anticipated to be a pivotal moment for reshaping narratives around AI development, emphasizing the rapid growth in token consumption and the annual recurring revenue of AI startups [6][7]. Summary by Sections Company Overview - Nvidia focuses on the design and development of graphics processing units (GPUs) across four major markets: gaming, professional visualization, data centers, and automotive. The AI boom has overshadowed other business segments, with data center operations projected to contribute over 90% of revenue in the coming years [9]. Revenue Breakdown - Revenue by Product: - Computing and Networking: 89.0% - Graphics: 11.0% [10] - Revenue by Region: - Asia: 48.6% - Americas: 47.9% - Europe: 2.6% - Middle East and Africa: 0.8% [10] Stock Information - Stock Price (as of February 23, 2026): $191.55 - Market Capitalization: $461.263 billion - Consensus Target Price: $254.81 [12][13]

Core Viewpoint - The article discusses the ineffectiveness of U.S. tariffs in undermining China's manufacturing strength, highlighting that China's industrial capabilities cannot be defeated by tax increases alone [1][9]. Group 1: U.S.-China Trade Relations - The U.S. initiated a sudden tariff war against China, imposing a 34% tariff on Chinese goods, which escalated to a maximum of 145%, leading to significant disruptions in bilateral trade [3][5]. - China's response to U.S. tariffs has been to match them equally, demonstrating resilience and a refusal to back down, which has resulted in a near standstill in trade [5][7]. Group 2: Economic Misjudgments - The U.S. made two major misjudgments: underestimating China's reliance on exports and overestimating China's fear of economic retaliation [7][9]. - The U.S. domestic market faced shortages and rising prices due to the tariffs, leading to public discontent and pressure on U.S. businesses [5][9]. Group 3: China's Industrial Strength - China's manufacturing capabilities are supported by a complete industrial chain and strong production capacity, making it difficult for the U.S. to weaken China's economic position through tariffs [11][12]. - In high-tech sectors, China has made significant advancements, particularly in conventional chip manufacturing, where it has become the largest global producer [11][12]. Group 4: Future Strategies - The article suggests that the U.S. must abandon its zero-sum mentality and recognize China's development as an opportunity for global economic growth rather than a threat [12]. - Cooperation and mutual development are emphasized as the path forward for both nations, rather than continued confrontation [12].

Core Viewpoint - Huang Renxun, CEO of Nvidia, emphasizes the importance of the Chinese market for the company's future strategy, showcasing a blend of personal engagement and corporate communication to strengthen ties with local employees and clients [3][14]. Group 1: Talent Retention in China - Nvidia's new headquarters in Shanghai, covering over 20,000 square meters, focuses on chip design verification and product optimization, indicating the strategic importance of the Chinese market [15][16]. - Huang has visited China seven times in the past five years, with three visits last year alone, to maintain morale among nearly 4,000 employees in China, which have grown by 50% to 60% in recent years [17][19]. - The departure of key personnel to competitors highlights the need for Nvidia to retain talent, as former employees have founded strong domestic rivals [21][22]. Group 2: H200 Chip Market Entry - Huang's visit aims to facilitate the entry and sales of the H200 chip in China, despite regulatory challenges and increased costs due to U.S. government requirements [26][28]. - Nvidia's revenue from China reached $17 billion in the 2024 fiscal year, accounting for approximately 13% of total revenue, underscoring the market's significance [28]. - The Chinese market is crucial for Nvidia due to its robust customer base and the growing demand from major tech companies and the electric vehicle sector [29][31]. Group 3: Adapting to Market Changes - The share of domestic computing power in China's data center accelerator market has risen from 14% to 34.6% between 2023 and 2024, indicating a structural shift in the industry [34]. - Domestic competitors are gaining traction, with major clients like Baidu and Alibaba shifting orders from Nvidia to local suppliers, reflecting a clear trend towards localization [35]. - Huang's focus is not just on selling chips but on understanding customer needs, strengthening supply chain partnerships, and deepening Nvidia's software ecosystem in China [36][39].

Core Insights - The launch of the "Zhenwu 810E" chip by Alibaba's Pingtouge marks a significant step in the company's AI strategy, achieving a full-stack layout from large models to cloud services and chips [1][3] - The "Zhenwu 810E" chip reportedly surpasses NVIDIA's A800 in certain key parameters and is comparable to the H20, indicating competitive performance in the AI chip market [1][3] - The chip has been deployed in multiple clusters on Alibaba Cloud, serving over 400 clients, including major organizations like State Grid and Xpeng Motors, showcasing its practical applications in AI training and inference [3] Product Specifications - The "Zhenwu 810E" chip features HBM2e memory, with a memory capacity of 96GB, and an interconnect bandwidth of 700 GB/s, positioning it between NVIDIA's A800 and H20 [1][3] - The chip's performance is claimed to be superior to NVIDIA's A100, which was launched in 2020, highlighting its advanced capabilities [3] Market Context - The launch coincides with rumors of Alibaba planning to spin off Pingtouge for an independent IPO, indicating potential growth and investment opportunities in the semiconductor sector [3] - Other major internet companies, such as Baidu, are also pursuing similar full-stack strategies in AI, with Baidu's Kunlun chip seeking a listing on the Hong Kong Stock Exchange [6] - The trend of large cloud providers developing their own chips is seen as a strategic move to meet internal demand and reduce costs associated with third-party suppliers, enhancing market competitiveness [6]

第三届中国国际供应链促进博览会（简称 "链博会"）于 2025 年 7 月 16 日至 20 日在北京举办，作为全球首个以供应链为主题的国家级展会，此次展会首次 移师夏季，以 "链接世界、共创未来" 为主题，实现了简约、务实、精彩的圆满成功。 展会规模再创新高，吸引超过 1200 家中外企业和机构参展，线上线下观众超 21 万人次，较上届增长 5%；172 个境外团组参会，是上届的 2.2 倍。展会强 化 "链式逻辑"，通过大数据和人工智能技术升级 "找朋友" 3.0 模式，精准匹配企业与专业观众 2.4 万次，促成合作协议及意向超 6000 项，参展商首发首展 首秀 152 项新产品新技术新服务，同比增长 67%。截至展会落幕，已有 102 家企业和机构签约第四届参展，同比增长 50%。 传播方面成效显著，全网相关信息量达 26.87 万篇 / 条，较上届增长 34.8%。传播渠道实现全网覆盖，网媒与 "两微一端" 成为核心引擎，中央媒体、地方媒 体、行业媒体及境外媒体协同发力，2000 余名中外记者注册参会，境外主流媒体报道超 2.6 万篇，覆盖 110 个国家 / 地区。传播内容聚焦展会亮点、合作成 果 ...

1月23日消息，据媒体报道，英伟达创始人黄仁勋近日再度来华，首站到访了英伟达位于上海的新办公 室，与员工见面回并答了诸多关注的问题。 据悉，黄仁勋此次来华行程与2025年初基本一致，主要是参加上海、北京和深圳分公司的新年晚会以及 供应商答谢会。 事实上，黄仁勋的此次行程属于年度例行访问。每年这个时间节点，他都会到访中国，而今年的行程更 恰逢公司发展的关键时期。 此前，美国政府刚刚放宽了 AI 处理器的出口限制，明确允许英伟达向中国市场销售 H200 芯片。 值得关注的是，在开启中国之行前，黄仁勋还现身瑞士达沃斯论坛。他在论坛上的发言，聚焦人工智能 行业前沿趋势，再次成为科技圈热议的焦点。 回顾2025年初，黄仁勋的访华之旅曾因现场给员工派发红包的暖心举动，引发外界广泛关注。 此后，他又两度到访中国，重点推进专为中国市场定制的 H20 芯片的销售事宜。 针对本次黄仁勋的访华动态，英伟达方面暂未对相关问询作出回应。 ...

快科技1月23日消息，据媒体报道，英伟达创始人黄仁勋近日再度来华，首站到访了英伟达位于上海的 新办公室，与员工见面回并答了诸多关注的问题。 据悉，黄仁勋此次来华行程与2025年初基本一致，主要是参加上海、北京和深圳分公司的新年晚会以及 供应商答谢会。 回顾2025年初，黄仁勋的访华之旅曾因现场给员工派发红包的暖心举动，引发外界广泛关注。 此后，他又两度到访中国，重点推进专为中国市场定制的 H20 芯片的销售事宜。 针对本次黄仁勋的访华动态，英伟达方面暂未对相关问询作出回应。 事实上，黄仁勋的此次行程属于年度例行访问。每年这个时间节点，他都会到访中国，而今年的行程更 恰逢公司发展的关键时期。 此前，美国政府刚刚放宽了 AI 处理器的出口限制，明确允许英伟达向中国市场销售 H200 芯片。 值得关注的是，在开启中国之行前，黄仁勋还现身瑞士达沃斯论坛。他在论坛上的发言，聚焦人工智能 行业前沿趋势，再次成为科技圈热议的焦点。 【本文结束】如需转载请务必注明出处：快科技 责任编辑：秋白 快科技1月23日消息，据媒体报道，英伟达创始人黄仁勋近日再度来华，首站到访了英伟达位于上海的 新办公室，与员工见面回并答了诸多关注的问 ...

他好像真觉得自己打赢了一场世纪大战，就差放烟花庆祝了。 特朗普最近在底特律一开口，就又把老调子翻出来唱了。 他说中国成了美国最大的"纳税方"，还拍着胸脯宣称美国靠关税赢了中国。 这话听着是不是有点耳熟？ 没错，就是当年那套贸易战的说辞，只不过现在换了个地方、换了身衣服，重新上台再演一遍。 可现实哪有那么配合？ 他话音刚落没两天，中方直接甩出一记重拳——1月13日，中国商务部宣布，自2026年1月14日起，继续对原产于美国和韩国的太阳能级多晶硅产品征收反倾 销税。 税率最低53.3%，最高57%。 这可不是象征性警告，这是实打实往美国光伏产业的命门上砸。 但稍微懂点国际贸易的人都知道，关税是谁付的？ 是美国进口商，是美国消费者，是那些买中国制造的日用品、电子产品、工业零件的普通美国人。 他们才是真金白银掏钱的人。 多晶硅是什么？ 是制造太阳能电池板的核心原材料。 美国想搞绿色能源转型，绕不开它。 可现在，中国这一刀下去，等于直接掐住了他们的原料脖子。 你不是说靠关税赢了中国吗？ 那先看看自己能不能扛住这波反制再说。 特朗普的逻辑其实特别简单粗暴：美国对中国商品加征关税，收了钱，他就把这笔钱算成"中国给美国交的税 ...