英伟达公布“炸裂”财报！非农即将公布

Core Viewpoint - Nvidia has reported impressive financial results for Q3 of FY2025, exceeding market expectations in revenue, profit, and future guidance, reflecting strong confidence in the continuation of the AI cycle [4]. Financial Performance - Nvidia's revenue reached $57.01 billion, surpassing the market estimate of $54.92 billion, with a year-over-year growth rate maintained at a high level [4]. - Adjusted earnings per share were $1.30, exceeding Wall Street's expectation of $1.25 [4]. - The company forecasts revenue for the current quarter to grow to $65 billion, significantly above the market expectation of $61.66 billion, indicating robust demand for AI computing power [4]. - Net profit was recorded at $31.91 billion, a 65% year-over-year increase, showcasing Nvidia's transformation into a comprehensive AI infrastructure "profit engine" [4]. Business Segments - The data center business remains the core driver of growth, with revenue surpassing $50 billion for the first time, reaching $51.2 billion, and exceeding analyst expectations of $49.09 billion, reflecting a 66% year-over-year increase [4]. - Compute revenue was $43 billion, while revenue from networking products was $8.2 billion [4]. - Nvidia's gaming segment generated $4.3 billion in revenue, a 30% year-over-year increase, maintaining stability despite the larger scale of AI business [5]. - The professional visualization segment recorded $760 million in revenue, a 56% year-over-year increase, aided by the launch of the DGX Spark workstation [5]. - The automotive and robotics business achieved $592 million in revenue, a 32% year-over-year increase, with a focus on automation and edge AI devices [6]. Market Demand and Product Development - Nvidia's latest GPU product line, Blackwell Ultra, is becoming a new growth engine, with CEO Jensen Huang stating that cloud GPUs are sold out, addressing concerns about a potential inflection point in AI computing demand [5]. - Major clients for Nvidia's GPUs include tech giants like Microsoft, Amazon, Google, Oracle, and Meta, all of which are rapidly building their AI models and computing clusters, leading to explosive demand for Nvidia's high-end GPUs [5].