英伟达CEO黄仁勋在2月25日财报电话会上确认，公司已接近与OpenAI达成合作协议，但澄清此前传闻 的1000亿美元投资"从来不是一项承诺"。该协议涉及英伟达向OpenAI提供先进AI芯片及技术支持，以 支撑其大模型训练与推理需求，同时英伟达或将参与OpenAI新一轮融资。黄仁勋形容OpenAI为"一代人 中仅此一家"的企业，强调双方自2016年合作至今，OpenAI所有工作均基于英伟达技术平台。 值得关注的是，OpenAI近期也与AMD达成战略合作，计划部署6吉瓦AMD Instinct GPU，显示其在芯片 供应上正寻求多元化。分析认为，英伟达与OpenAI的协议若最终敲定，将进一步巩固前者在AI算力领 域的霸权地位，同时助力OpenAI推进"星际之门"等大规模AI基础设施建设。 此次合作标志着OpenAI采购模式的重要转变——从通过微软等云服务商间接采购，转向与英伟达直接 合作。与此同时，英伟达正加速AI生态布局，本季度已宣布向Anthropic投资最高100亿美元，并与Meta 签署多年期、价值数十亿美元的芯片供应协议，后者将部署数百万颗Blackwell和Rubin GPU。黄仁勋表 示，公司投资 ...

Core Viewpoint - Meta and Nvidia have established a long-term partnership focusing on local deployment, cloud, and AI infrastructure, marking a significant expansion of their technological collaboration [1][5]. Group 1: Partnership Details - Meta will build ultra-large-scale data centers optimized for training and inference to support its long-term AI infrastructure roadmap [3]. - The collaboration will involve the deployment of millions of Blackwell and Rubin GPUs, as well as Nvidia's Grace CPUs, with Nvidia's Spectrum-X Ethernet switches integrated into Facebook's open switching system [3]. - This partnership represents the first large-scale deployment of Nvidia's Grace and aims to enhance the energy efficiency of AI computing [3][6]. Group 2: Strategic Implications - Meta is expected to allocate a significant portion of its projected capital expenditure of up to $135 billion this year towards expanding Nvidia's data centers [7]. - The large-scale adoption of Nvidia's chips validates Nvidia's "full-stack" infrastructure strategy, which includes both CPU and GPU [7]. - Despite the partnership, Meta is also exploring alternatives, including the potential use of Google's Tensor Processing Units (TPUs) in its data centers by 2027 [7][8]. Group 3: Market Reactions - Following the announcement, both Meta and Nvidia's stock prices rose in after-hours trading, while AMD's stock fell over 4% [3].

Core Viewpoint - Nvidia and Meta are expanding their long-term partnership, with Nvidia providing millions of Blackwell and Rubin GPUs, CPUs, and networking products for AI model training and operation in Meta's data centers [2][5]. Group 1: Partnership Details - The partnership involves the deployment of Nvidia's CPUs and millions of GPUs in Meta's data centers, leveraging Nvidia's cloud partners for additional resources [2][5]. - Nvidia's CEO emphasized Meta's unique capability to deploy AI at scale, combining cutting-edge research with industrial-grade infrastructure for billions of users [2][5]. - Meta is launching its first large-scale Grace CPU servers and plans to introduce the Vera CPU system by 2027, which will not include GPUs [2][5][6]. Group 2: Market Implications - This move may pose challenges for Intel and AMD, who have dominated the CPU server market for decades [3]. - Meta will also utilize Nvidia's confidential computing technology in its WhatsApp application for private data processing [3]. - Concerns have arisen regarding AI-related stocks, with Meta's stock down 3.3% and Microsoft's stock down over 17% since January 1, 2023 [3][4]. Group 3: Competitive Landscape - Nvidia's stock has decreased by over 1% this year, while AMD's stock has dropped over 5% [4]. - Analysts believe Nvidia is unlikely to lose its lead in AI due to the versatility of GPUs compared to more specialized chips like Google's TPU and Amazon's Trainium [4][6]. - The collaboration represents the first large-scale deployment of Nvidia Grace, enhancing performance through joint design and software optimization [6].