文｜邱晓芬 编辑｜苏建勋 9月18日，英伟达官网上宣布了一则重磅消息：英伟达将向英特尔投资50亿美金（折合人民币356亿）。这一项投资将以收购英特尔股票的方式落地，以一 股23.28美元折算。 消息公布之后，北京时间9月19日凌晨一点，英伟达创始人黄仁勋和英特尔首席执行官陈立武召开了一场线上发布会。 发布会上，黄仁勋罕见换掉了他的皮衣，穿上了笔挺的西装。陈立武也用带有中式口音的英语，表示了他对此次合作的感激——"和黄仁勋相识超过30 年…….向黄仁勋致敬，感谢英伟达的支持、信任、信心。" △发布会截图 "瞄准年规模500亿的市场" 除了资金上的合作之外，"两英"未来将互相渗透进各自的疆域—— 在英伟达的疆域里，以英伟达在去年3月发布的NVLink 72系统为例，这一系统除了搭72颗英伟达Blackwell GPU之外，还需要36颗基于Arm架构的、英伟 达专门定制的Vera CPU。而英特尔的CPU由于通过PCIe进行连接，并不支持NVLink，在数据中心市场一直缺乏竞争力。 黄仁勋在发布会上表示，两家公司的技术团队围绕解决方案的讨论和架构设计，已经开展了将近一年的时间。 刚刚上任不到半年的陈立武直言，在他上 ...

Core Viewpoint - Nvidia reported record revenue of $46.743 billion for Q2 of fiscal year 2026, marking a 56% year-over-year increase and a 6% quarter-over-quarter increase, with net profit reaching $26.422 billion, a 59% year-over-year increase and a 41% quarter-over-quarter increase [1] Financial Performance - Revenue for Q2 of fiscal year 2026 was $46.743 billion, up 56% year-over-year and 6% quarter-over-quarter [1] - Net profit was $26.422 billion, reflecting a 59% year-over-year increase and a 41% quarter-over-quarter increase [1] - Adjusted net profit, not in accordance with GAAP, was $25.783 billion, a 52% year-over-year increase and a 30% quarter-over-quarter increase [1] Market Outlook - Nvidia's CEO highlighted the evolution of reasoning AI as a key driver for growth, indicating that the computational demand has increased significantly due to the capabilities of reasoning AI [3] - The company is targeting a market opportunity of $3 trillion to $4 trillion in AI infrastructure over the next few years, with significant capital expenditures from major cloud service providers reaching approximately $600 billion [4][10] Product Development - The Blackwell platform and NVLink 72 system were developed to meet current demands, achieving significant speed and energy efficiency improvements [4] - The Rubin platform is expected to contribute to revenue in the second half of the fiscal year, with a focus on AI applications [2][4] Competitive Landscape - Nvidia's products are widely adopted across major cloud platforms, providing a competitive edge in the AI infrastructure market [7] - The company is addressing the complexities of ASIC development, emphasizing the challenges and the need for comprehensive solutions in AI computing [6][8] China Market Potential - Nvidia estimates a potential market opportunity of $50 billion in China, with expectations of 50% annual growth in the AI sector [13] - The company is actively engaging with the Chinese government to facilitate market entry and product distribution [14] Future Projections - Nvidia anticipates that the data center infrastructure spending will reach $3 trillion to $4 trillion by 2030, driven by the increasing demand for AI capabilities [10][12] - The company is positioned to capture a significant share of this market, with estimates suggesting Nvidia's contribution to a gigawatt-level AI factory could be around $35 billion [11] Technological Advancements - The introduction of the Spectrum XGS product is aimed at enhancing data center interconnectivity, with significant market opportunities identified [16] - The company is focused on improving energy efficiency and performance per watt, which is critical for the profitability of AI factories [12][20]