Nvidia(US:NVDA) Hua Er Jie Jian Wen·2025-11-20 01:08Core Viewpoint - NVIDIA's CEO Jensen Huang strongly refuted the "AI bubble" narrative, asserting that the company is at the center of three fundamental technological transformations that are driving sustained growth in AI technology [1][2][3]. Group 1: AI Transformations - The world is experiencing three major platform transformations: the shift from CPU to GPU accelerated computing, the transition from traditional machine learning to generative AI, and the rise of agentic AI [3][4][32]. - Huang emphasized that these transformations are foundational and necessary for future infrastructure growth, with NVIDIA's architecture capable of supporting all three transitions [4][35]. Group 2: Financial Performance and Guidance - NVIDIA reported a record revenue of $57 billion for Q3, a 62% year-over-year increase, with data center revenue reaching $51 billion, up 66% [15][28]. - The company provided a strong Q4 revenue guidance of $65 billion, significantly above market expectations, even without assuming any revenue from data center computing in China [11][28]. Group 3: Demand and Supply Dynamics - NVIDIA's CFO Colette Kress revealed a revenue visibility of $500 billion for the Blackwell and Rubin platforms from now until the end of 2026, indicating robust demand [5][9]. - The company acknowledged supply chain challenges, particularly in power and packaging, but emphasized that these issues are manageable [6][8]. Group 4: Strategic Partnerships and New Clients - NVIDIA announced a strategic partnership with AI model company Anthropic, marking its first adoption of NVIDIA's architecture with an initial compute commitment of up to 1 gigawatt [9][25]. - The company is also collaborating with OpenAI to build and deploy at least 10 gigawatts of AI data centers, indicating a significant scale-up in computational capabilities [11][24]. Group 5: Market Position and Competitive Edge - NVIDIA's unique architecture allows it to run all major AI models, positioning it as a leader in the AI infrastructure market [9][12]. - The company is focused on expanding its CUDA ecosystem through strategic investments in key AI companies, which are intended to deepen technical collaborations rather than merely boost short-term demand [10][25].