Financial Data and Key Metrics Changes - Total revenue reached $68 billion, up 73% year-over-year, marking a record growth from the previous quarter [5][6] - Data center revenue for Q4 was $62 billion, increasing 75% year-over-year and 22% sequentially [8][19] - Full-year data center revenue totaled $194 billion, up 68% year-over-year [6] - Free cash flow for Q4 was $35 billion, with a total of $97 billion for fiscal year 2026 [19][20] - GAAP gross margin was 75%, with non-GAAP gross margin at 75.2%, reflecting an increase due to the ramp of Blackwell [18][19] Business Line Data and Key Metrics Changes - Data center business scaled nearly 13x since the emergence of ChatGPT in fiscal 2023 [6] - Networking revenue reached $11 billion, up more than 3.5x year-over-year, driven by strong demand for NVLink and Spectrum-X Ethernet [9][10] - Gaming revenue was $3.7 billion, up 47% year-over-year, supported by strong Blackwell demand [15] - Professional visualization revenue crossed $1 billion for the first time, totaling $1.3 billion, up 159% year-over-year [16] - Automotive revenue was $604 million, up 6% year-over-year, driven by demand for self-driving solutions [16] Market Data and Key Metrics Changes - Sovereign AI business more than tripled year-over-year, exceeding $30 billion, with significant contributions from Canada, France, the Netherlands, Singapore, and the UK [12] - Analyst expectations for 2026 CapEx across the top 5 cloud providers are up nearly $120 billion, approaching $700 billion [11] - The transition from classical machine learning to generative AI is driving significant capital spending from hyperscalers [10] Company Strategy and Development Direction - The company aims to deliver generational leaps in performance per watt and performance per dollar to sustain gross margins [60][61] - Focus on expanding partnerships with leading AI model makers and enhancing the ecosystem built on CUDA [33][24] - Introduction of the Rubin platform, which includes six new chips, is expected to enhance performance and reduce costs [14][15] - The company is committed to investing in technology and ecosystem development to drive long-term growth [20] Management's Comments on Operating Environment and Future Outlook - Management expressed confidence in the growth of cloud customers' cash flow, linking compute demand to revenue generation [29][30] - The company anticipates sequential revenue growth throughout calendar 2026, with strong demand for data center products [7][21] - Supply constraints are expected to impact gaming revenue in the near term, but improvements may lead to year-over-year growth later [50] Other Important Information - The company has secured inventory and capacity to meet future demand, reflecting longer demand visibility [19] - The introduction of stock-based compensation in non-GAAP results is aimed at attracting and retaining talent [20] Q&A Session Summary Question: Concerns about cloud customers' CapEx growth - Management is confident in cloud customers' cash flow growth due to the demand for compute in AI, linking compute directly to revenue generation [29][30] Question: Role of strategic investments in ecosystem growth - Management emphasized the importance of the ecosystem and investments in expanding NVIDIA's position across various AI applications [32][33] Question: Networking revenue growth and future expectations - Management noted the significant growth in networking revenue and the expectation for continued expansion driven by AI infrastructure [37][39] Question: Future roadmap for customized silicon - Management discussed the architectural decisions behind their CPUs and the focus on high data processing capabilities for AI workloads [76][78] Question: Deployment of capital and share repurchase strategy - Management highlighted the careful consideration of capital return while continuing to support ecosystem development and strategic investments [82]

NVIDIA (NasdaqGS:NVDA) Q4 2026 Earnings call February 25, 2026 05:00 PM ET Company ParticipantsBen Reitzes - Managing Director and Head of Technology ResearchColette Kress - EVP and CFOHarlan Sur - Executive Director of Equity ResearchJensen Huang - President and CEOMark Lipacis - Senior Managing DirectorToshiya Hari - VP of Investor Relations and Strategic FinanceConference Call ParticipantsAaron Rakers - Managing Director and Technology AnalystAntoine Chkaiban - Technology Infrastructure AnalystAtif Malik ...

Core Insights - The demand for compute capacity is accelerating, particularly for training large language models (LLMs) [1] - Broadcom's acquisition of VMware has positioned it as a significant player in enterprise software, but its primary focus remains on infrastructure, with semiconductors contributing over half of its $16 billion revenue in Q3 2025 [2] - The shift towards AI compute has significantly benefited Nvidia, with revenues reaching $46.7 billion, marking a 56% increase year-over-year [4] Investment Trends - Major cloud providers are significantly increasing their capital expenditures, with Oracle raising its annual plans to over $35 billion, Google Cloud adding $10 billion to its $75 billion budget, and Microsoft and AWS planning $100 billion and $80 billion respectively [5] - Investments in data center semiconductors, servers, and storage components grew 44% year-over-year to nearly $80 billion in Q2 2025, driven by hyperscaler infrastructure buildouts [6] Vendor Strategies - Companies are focusing on providing infrastructure to support high-capacity workloads as generative AI becomes integrated into business functions [7] - Nvidia is expanding its focus to enterprise customers, providing hardware for generative and agentic AI workloads in hybrid environments [11] - Google Cloud has seen a 27-fold increase in usage of its BigQuery data cloud as enterprises prepare their data for AI [13] Market Dynamics - The server market has experienced a resurgence, with year-over-year sales surging 134% [20] - The AI PC market is currently sluggish, but HP has reported an uptick in shipments, indicating early signs of growth [21] - Intel is facing challenges in deploying AI infrastructure, having recently undergone leadership changes and layoffs due to stalled revenues [18]

以下文章来源于腾讯科技 ，作者苏扬 郝博阳 腾讯科技 . 腾讯新闻旗下腾讯科技官方账号，在这里读懂科技！ 将投中网设为"星标⭐"，第一时间收获最新推送 算力永不眠。 作者丨苏扬 郝博阳 编辑丨 郑可君 来源丨腾讯科技 作为AI时代的"卖铲人"，黄仁勋和他的英伟达，始终坚信算力永不眠。 今天的GTC大会上，黄仁勋拿出了全新的Blackwell Ultra GPU，以及在此基础上衍生的应用于推 理、Agent的服务器SKU，也包括基于Blackwell架构的RTX全家桶，这一切都与算力有关，但接下 来更重要的是，如何将源源不断算力，合理有效地消耗掉。 在黄仁勋眼里，通往AGI需要算力，具身智能机器人需要算力，构建Omniverse与世界模型更需要源 源不断的算力，至于最终人类构建一个虚拟的"平行宇宙"，需要多少算力，英伟达给了一个答案—— 过去的100倍。 为了支撑自己的观点，黄仁勋在GTC现场晒了一组数据——2024年美国前四云厂总计采购130万颗 Hopper架构芯片，到了2025年，这一数据飙升至360万颗Blackwell GPU。 以下是腾讯科技整理的英伟达GTC 2025大会的一些核心要点： Blac ...