【招商电子】英伟达（NVDA.O）FY26Q4跟踪报告：本季营收与指引均高增，战略备货以满足未来市场需求

Core Viewpoint - Nvidia's FY26Q4 earnings report shows record revenue of $68.1 billion, a 73% year-over-year increase, driven by strong demand in data center and AI sectors, with strategic inventory buildup to meet future market needs [2][12][25]. Group 1: Financial Performance - FY26Q4 revenue reached $68.1 billion, exceeding expectations of $65 billion, with operating profit and free cash flow also at historical highs [2][12]. - Non-GAAP gross margin was 75.2%, up 1.7 percentage points year-over-year, supported by increased production capacity of the Blackwell architecture [2][25]. - Free cash flow for FY26 was $97 billion, with $41 billion returned to shareholders through buybacks and dividends [26]. Group 2: Business Segments - Data Center: Revenue of $62.3 billion, up 75% year-over-year, driven by strong demand for Blackwell architecture and network services, which saw a revenue increase of over 350% [3][15][16]. - Gaming: Revenue of $3.73 billion, a 47% increase year-over-year, but down 13% quarter-over-quarter due to supply chain constraints [3][21]. - Professional Visualization: Revenue reached $1.32 billion, a 159% increase year-over-year, driven by new product launches [3][22]. - Automotive: Revenue of $604 million, up 6% year-over-year, primarily due to strong demand for autonomous driving solutions [3][23]. Group 3: Future Outlook - FY27Q1 revenue guidance is set at $78 billion, a 77% year-over-year increase, primarily driven by data center business growth [4][11]. - Data center revenue is expected to grow sequentially throughout 2026, with significant contributions from major cloud service providers [4][18]. - The company anticipates maintaining a gross margin around 75% for the fiscal year 2027, with ongoing investments in technology and talent [4][27]. Group 4: Strategic Initiatives - Nvidia is focusing on expanding its ecosystem through partnerships with major AI companies like OpenAI and Anthropic, enhancing its position in the AI infrastructure market [28][41]. - The introduction of the Rubin platform is expected to reduce GPU requirements for training mixed expert models by 75% and lower inference costs significantly [20][39]. - The company is actively investing in AI infrastructure, with a projected capital expenditure increase among top cloud service providers, which is expected to exceed $700 billion by 2026 [5][18].