来源：环球网 不过，本财季财报表现也面临市场一定程度的观望情绪。尽管467亿美元的营收高于分析师此前预测的 460.6亿美元，但营收与利润的超预期幅度创下近数个季度以来的新低。作为市场关注的增长型科技企 业，英伟达以往常凭借显著超出预期的业绩数据提振投资者信心，而本财季411.9亿美元的数据中心收 入与市场预期基本持平，导致华尔街反应相对冷淡。 财报发布后，英伟达股价在盘后交易中出现波动。盘中一度下跌4%，随后跌幅收窄至1.83%，但截至美 东时间下午4时47分，跌幅扩大至3.5%。市场分析认为，部分投资者担忧当前人工智能软件企业因高性 能GPU（图形处理器）采购成本较高，可能面临投资回报有限的问题，进而对未来GPU需求增长产生顾 虑。 针对市场关切，英伟达透露公司即将推出新一代Rubin GPU产品，该产品在人工智能推理与推断性能上 预计将实现明显提升，有望进一步巩固公司在AI硬件领域的技术优势，为后续市场需求增长提供新的 支撑点。（纯钧） 在产品销售与库存管理方面，财报披露本财季英伟达未向中国客户销售H20产品，同时向中国以外不受 限市场的客户销售了价值约6.5亿美元的H20产品，并同步释放了此前预留的1 ...

特朗普在11日的记者会上透露了与英伟达首席执行官（CEO）黄仁勋的交流，表示"我告诉 他，为了美国，我想要（销售收入的）20%，但他请求降至15%"。 （Reuters） 英伟达重启对华出口的AI半导体"H20"是基于"Hopper"架构的产品之一，针对中国大幅降低 了性能。Hopper是英伟达最新型"Blackwell"的上一代产品，与尖端产品相比性能较差。特 朗普11日就Blackwell表示，"如果是劣化版，交易是可能的"…… 美国总统特朗普8月11日表示，作为允许美国半导体大型企业向中国出口的交换，将启动向美 国政府上缴15%销售收入的机制。围绕因担心中国在军事上利用而采取的半导体出口管制， 这种与企业进行"交易"以增加国家收入的方法蕴含着危险。 英伟达和美国超微半导体（AMD）将向美国政府上缴面向中国销售的人工智能（AI）半导体 收入的15%。 美国政府从2022年起围绕AI芯片实施了严格的对华出口管制。美国声称中国在尖端军事产品 开发中利用美国产品，以安全保障方面的理由而启动管制。 最初提出"上缴20%" 美国国会众议院的中国问题特别委员会的民主党议员克里希纳穆尔蒂表示，"如果对安全上的 担忧开出 ...

Core Viewpoint - Jensen Huang, the CEO of NVIDIA, is perceived as a businessman who prioritizes profit, as evidenced by his recent stock sales despite claiming he has enough wealth [1][9]. Stock Sales and Financial Impact - On July 18, Huang sold 75,000 shares of NVIDIA for approximately $12.94 million (about 92.67 million RMB) [2]. - Over the past two months, Huang has sold NVIDIA shares nearly 20 times, cashing out a total of 1.435 billion RMB [3][5]. - In July alone, Huang has sold 900,000 shares, amounting to around $150 million [6]. Market Performance and Competitive Position - NVIDIA's stock price has surged due to the global expansion of generative AI and the high demand for its GPUs, with a market share of 92% in the discrete graphics card market as of Q1 2025 [8]. - The company's market capitalization briefly surpassed $4 trillion, making it the first company to reach this milestone [3]. Investor Sentiment and Market Dynamics - Huang's continuous stock sales have caused unease among investors, leading to a shift in perception from "AI godfather" to "cash-out king" [4]. - Analysts have begun to warn of potential risks associated with NVIDIA's high valuation, indicating that the stock may be in an overbought state [12]. Global Challenges and Strategic Moves - Despite NVIDIA's technological strengths, the company faces challenges due to geopolitical tensions and regulatory scrutiny, particularly in the U.S. and EU [10][11]. - Huang's recent travels to various regions, including Latin America and Europe, highlight the company's efforts to navigate these complex international relations [10].

Group 1: High-tech Manufacturing Index - The Guosen weekly high-tech manufacturing diffusion index A recorded -0.4, indicating a weakening trend[1] - The diffusion index B stood at 50.6, showing a decline from the previous period[1] - The semiconductor sector's prosperity increased, while aerospace, new energy, and pharmaceutical industries saw a downturn[1] Group 2: Price Trends - The price of 6-amino penicillanic acid decreased to 220 RMB/kg, down by 10 RMB/kg from last week[2] - The price of acrylonitrile fell to 8,150 RMB/ton, a decrease of 50 RMB/ton[2] - The price of dynamic random-access memory (DRAM) rose to $1.5080, an increase of $0.059[2] - The price of lithium hexafluorophosphate dropped to 49,800 RMB/ton, down by 80 RMB/ton[2] Group 3: Policy and Industry Developments - Shanghai issued a plan to build a world-class modern shipbuilding base by 2027, targeting an industry scale exceeding 120 billion RMB[2] - NVIDIA's CEO Jensen Huang visited China for the third time this year, announcing the re-approval of the H20 chip for sale[2] Group 4: Economic Indicators - Fixed asset investment cumulative year-on-year growth is at 2.80%[5] - Retail sales year-on-year growth for the month is at 4.80%[5] - Monthly export year-on-year growth is at 5.80%[5] - M2 money supply growth stands at 8.30%[5] Group 5: Risk Factors - Development and structural adjustments in high-tech manufacturing may lead to indicator failures[3] - Economic policies and industrial policy interventions pose risks[3] - Economic growth slowdown is a potential concern[3]

Core Viewpoint - Nvidia reported strong Q1 FY2026 earnings, exceeding market expectations despite facing export restrictions on AI chips to China, with significant revenue growth driven by AI infrastructure demand [2][7]. Financial Performance - Revenue for the quarter was $44.062 billion, a 69% year-over-year increase and a 12% quarter-over-quarter increase [6]. - Net profit reached $18.775 billion, up 26% year-over-year but down 15% quarter-over-quarter [6]. - Adjusted earnings per share (EPS) was $0.81, reflecting a 33% year-over-year increase [6]. - Gross margin decreased to 61%, down 17.9 percentage points year-over-year [6]. Business Segments - Data center revenue was $39.1 billion, a 73% year-over-year increase, accounting for 89% of total revenue [4][6]. - Gaming and AI PC revenue reached $3.8 billion, a record high with a 42% year-over-year increase [5][6]. - Automotive revenue surged 72% to $567 million, driven by growth in autonomous driving and electric vehicle demand [5][6]. - Professional visualization revenue increased by 19% to $509 million [5][6]. Market Dynamics - Nvidia's CEO highlighted the rising demand for inference models, which is driving exponential growth in inference computing needs [3]. - The company is facing challenges in the Chinese market due to the H20 export ban, which has led to a significant inventory write-down and potential sales loss [7][8]. - Despite these challenges, Nvidia's stock rose nearly 5% in after-hours trading, reaching a market capitalization of approximately $3.288 trillion [3]. Future Outlook - For Q2 FY2026, Nvidia expects revenue to reach $45 billion, accounting for an estimated $8 billion loss from H20 product sales [8]. - The company anticipates a recovery in gross margin to around 72% and operating expenses of $5.7 billion [8]. - Nvidia is transitioning from a GPU company to an AI infrastructure company, emphasizing its comprehensive AI stack capabilities [8][9].

Core Viewpoint - NVIDIA's FY26Q1 revenue reached $44.062 billion, representing a year-over-year increase of 69.18% and a quarter-over-quarter increase of 12.03%, exceeding guidance expectations [1][10] Group 1: Financial Performance - FY26Q1 revenue of $44.062 billion surpassed guidance of $43 billion, with a non-GAAP gross margin of 61% and a margin of 71.3% after excluding H20-related expenses [1][10] - The company incurred $4.5 billion in expenses due to H20 product inventory surplus and procurement obligations, which was lower than expected due to the reuse of some materials [1][11] - FY26Q2 revenue guidance is set at $45 billion, reflecting an expected loss of approximately $8 billion in H20 revenue [4][24] Group 2: Business Segments - Data Center revenue reached $39 billion, up 73% year-over-year and 10% quarter-over-quarter, driven by demand for AI applications [3][10] - Gaming and AI PC revenue hit a record $3.8 billion, up 42% year-over-year and 48% quarter-over-quarter, primarily due to Blackwell architecture products [2][18] - Professional Visualization revenue was $509 million, up 19% year-over-year, while Automotive revenue was $567 million, up 72% year-over-year [3][20] Group 3: Market Dynamics - The Chinese AI chip market is estimated at $50 billion, but the H20 export ban has significantly impacted NVIDIA's operations in China [5][25] - The introduction of the GB200 NVL architecture is expected to support large-scale workloads and reduce inference costs [5][12] - The company is expanding its manufacturing capabilities in the U.S., with TSMC building six fabs in Arizona and partnerships with Foxconn for AI supercomputer production [5][28] Group 4: Future Outlook - The company anticipates a recovery in gross margin to 75% by the end of the year, driven by improved profitability from Blackwell products [4][24] - The AI industry is expected to experience exponential growth, with significant demand for inference AI driving the need for increased computational power [40][36] - The company is well-positioned to capitalize on the growing AI infrastructure investments globally, with a focus on local deployments and integration with existing IT systems [32][40]