撰稿 ｜ 李文朋 编辑 ｜ 王一鹏 奥特曼和纳德拉为期 5 年的蜜月期，终于出现了结束的征兆。 11 月 3 日消息，OpenAI 与亚马逊云科技（AWS）正式公布一项价值约 380 亿美元的多年战略合作 协议。根据协议，OpenAI 将通过 AWS 获取大规模计算资源，包括数十万块 NVIDIA 图形处理器， 以及可扩展至数百万 CPU 的计算容量，该部署计划将于 2026 年底全面完成。 这一事件发生在"2025 年 10 月 28 日微软与 OpenAI 签订新协议"之后，与 OpenAI"重组"几乎同期进 行。 所谓"新协议"，指的是 2025 年 10 月 28 日，微软与 OpenAI 签署的临时"最终框架协议"，撤销微软 对 OpenAI 享有的"优先购买权"，微软持股比例降低至 27%。 这一步骤标志着 OpenAI 从依赖微软开始走向"自主多元"。 据 OpenAI 透露，预计未来需投资 1.4 万亿美元用于构建计算基础设施，以支持 AGI 的实现。奥特 曼强调，实现 AGI 这一目标的实现需要海量计算能力作为保障。 一直以来，OpenAI 经营模式受非营利框架限制，在利润和股权分配上存在约 ...

Key Points Over the last several months, OpenAI migrated away from a heavy reliance on Microsoft Azure. The ChatGPT maker previously signed large-scale deals with Google Cloud and Oracle's cloud infrastructure. With Amazon as its latest partner, OpenAI now leverages each of the major cloud hyperscalers. 10 stocks we like better than Amazon › Some people have a natural draw to the spotlight. In the investment world, personalities like JPMorgan Chase CEO Jamie Dimon can move markets based on a sing ...

Key Points OpenAI just signed a multibillion-dollar deal with Amazon’s cloud business for access to AI chips. Amazon Web Services is the world’s biggest cloud provider and has been investing massively in AI. 10 stocks we like better than Amazon › You may think of Amazon (NASDAQ: AMZN) primarily as an e-commerce giant -- and it is -- but the company also has become a major player in artificial intelligence (AI) in recent years. And just this week, it scored a new win that reinforces its position in ...

而从OpenAI近期一系列算力供应合作看，与Anthropic相比，OpenAI更青睐使用GPU。9月，英伟达宣布 向OpenAI投资最多1000亿美元，英伟达将助力OpenAI构建和部署至少10吉瓦的AI数据中心，涉及数百 万块英伟达GPU。10月，另一家GPU厂商AMD与OpenAI达成合作，OpenAI将根据多年、多代协议部署 6吉瓦容量的AMD GPU。OpenAI也在探索使用ASIC（专用集成电路）芯片，但不是通过使用云厂商自 研的ASIC芯片，而是尝试使用自研的ASIC。10月，OpenAI宣布与定制ASIC厂商博通达成合作，计划 开发10吉瓦的定制AI加速器。 近日在一档播客节目中，OpenAI CEO奥尔特曼（Sam Altman）表示，公司目前的收入远不止130亿美 元。对于一家收入130亿美元的公司如何能签下上万亿美元的算力支出承诺，奥尔特曼表示，这些基建 投资是在前瞻性押注，公司将会成为重要的AI云服务提供方，消费设备业务也将成为一个重要板 块，"那些在网络上对我们算力支出大惊小怪、担忧不已的人，要是能买到OpenAI的股份，肯定会抢着 入场"。 在亚马逊与OpenAI巨额算力协议刺激下 ...

AWS称，这一消息延续了两家公司携手合作，致力于为全球企业提供尖端人工智能技术的决心。今年早些时候，OpenAI 的开源模型已在 Amazon Bedrock 上线，为数百万 AWS 用户带来了更多模型选择。OpenAI 已迅速成为 Amazon Bedrock 上最受欢迎的公开模型提供商之一，数千家客户（包括 Bystreet、 Comscore、Peloton、Thomson Reuters、Triomics 和 Verana Health）正利用其模型进行智能体工作流程、编码、科学分析、数学问题求解等工作。 当地时间11月3日，亚马逊云服务 (AWS) 和 OpenAI 宣布达成一项价值 380 亿美元的多年战略合作伙伴关系，AWS 将立即为 OpenAI 提供世界一流的基础 设施，以运行和扩展其核心人工智能 (AI) 工作负载。受该利好消息影响，亚马逊在11月3日的美股交易中股价上涨4%。 根据这项价值 380 亿美元的新协议（未来七年将持续增长），OpenAI 将使用 AWS 的计算资源，其中包括数十万个最先进的 NVIDIA GPU，并可扩展至 数千万个 CPU，从而快速扩展智能体工作负载。AWS ...

在美国，数据中心对推动人工智能热潮的重要性日益凸显。微软、亚马逊、谷歌等科技巨头正投入数百 亿美元建设大型新设施，以容纳训练和运行人工智能模型所需的数千个GPU。然而，数据中心的快速扩 建也带来了一系列压力，包括用于数据处理的GPU供应短缺，以及运行这些设施所需的电力供应问题。 上周，科技七巨头中的五家公司公布财报，涉及人工智能和数据中心投资的资本支出规模受到了广泛关 注，英伟达市值突破5万亿美元，在距离业绩披露还有一个月之际已经成为本财报季市值增加最大的标 的。 本周伊始，市场再次传来多笔重磅交易消息，亚马逊宣布与OpenAI达成380亿美元算力供应合作，微软 宣布加码投资中东，并与云服务提供商IREN签订合约。 微软加码投资阿联酋，扩建美国数据中心 微软周一宣布，将加大对阿联酋的投资力度，计划到2030年将在阿联酋的总投资规模提升至152亿美 元。 这笔投资包括向AI企业G42注资15亿美元（股权融资），以及投入超55亿美元资本开支，用于扩建微软 在该地区的AI与云基础设施项目。微软总裁史密斯（Brad Smith）在阿布扎比举行的国际石油技术会议 （ADIPEC）上表示，"正是技术、人才与信任的结合，让 ...

2025.11.04 为满足新增需求，IREN还与戴尔科技（Dell Technologies）单独达成一项协议，将以58亿美元的价格采 购新的图形处理器（GPU）及相关设备。这些硬件预计将于明年在 IREN 位于得克萨斯州柴尔德里斯市 （Childress）的园区分阶段部署。 在美国，数据中心对推动人工智能热潮的重要性日益凸显。微软、亚马逊、谷歌等科技巨头正投入数百 亿美元建设大型新设施，以容纳训练和运行人工智能模型所需的数千个GPU。然而，数据中心的快速扩 建也带来了一系列压力，包括用于数据处理的GPU供应短缺，以及运行这些设施所需的电力供应问题。 本 文字数：1602，阅读时长大约3分钟 作者 | 第一财经 樊志菁 上周，科技七巨头中的五家公司公布财报，涉及人工智能和数据中心投资的资本支出规模受到了广泛关 注，英伟达市值突破5万亿美元，在距离业绩披露还有一个月之际已经成为本财报季市值增加最大的标 的。 本周伊始，市场再次传来多笔重磅交易消息，亚马逊宣布与OpenAI达成380亿美元算力供应合作，微软 宣布加码投资中东，并与云服务提供商IREN签订合约。 微软加码投资阿联酋，扩建美国数据中心 微软周一宣布 ...

2025.11. 04 在美国，数据中心对推动人工智能热潮的重要性日益凸显。微软、亚马逊、谷歌等科技巨头正投入数 百亿美元建设大型新设施，以容纳训练和运行人工智能模型所需的数千个GPU。然而，数据中心的 快速扩建也带来了一系列压力，包括用于数据处理的GPU供应短缺，以及运行这些设施所需的电力 供应问题。 微软表示，计划在未来两年内将其数据中心规模扩大一倍，以应对云服务和计算服务需求的激增。财 报显示，其第一财季资本支出飙升至创纪录的近350亿美元，同比增长74%，远超机构此前预估的 303.4亿美元。公司预计26财年的资本支出增速将超过去年的58%，意味着投资额至少达到1400亿 美元，AI总产能预计提升超80%。 本文字数：1602，阅读时长大约3分钟 作者 | 第一财经 樊志菁 上周，科技七巨头中的五家公司公布财报，涉及人工智能和数据中心投资的资本支出规模受到了广泛 关注，英伟达市值突破5万亿美元，在距离业绩披露还有一个月之际已经成为本财报季市值增加最大 的标的。 本周伊始，市场再次传来多笔重磅交易消息，亚马逊宣布与OpenAI达成380亿美元算力供应合作， 微软宣布加码投资中东，并与云服务提供商IREN ...

Core Insights - The article emphasizes the transformative impact of AI on the gaming industry, highlighting its role in enhancing creativity and efficiency in game development [1][7][15]. Group 1: AI Integration in Game Development - The integration of AI in game development is becoming essential, with only 4% of developers currently not using AI tools [6]. - Unity's latest engine version focuses on AI capabilities, allowing developers to create 3D models in hours instead of days or months, improving 2D design efficiency by 30% and 3D asset production efficiency by 70% while reducing costs to 90% of previous levels [10][13]. - The AI Graph platform introduced by Unity and Tencent simplifies the AI development process, making it accessible even for beginners [11][14]. Group 2: AI's Role in Game Lifecycle - AWS outlines AI's role across the entire game lifecycle, focusing on building, running, and growing games [19][22]. - In the building phase, AI enhances development efficiency, content richness, and cost reduction, while in the running phase, it improves performance and operational efficiency [23][24]. - For growth, AI aids in player engagement and monetization strategies through data analysis and personalized recommendations [25][26]. Group 3: 3D GenAI and Cost Efficiency - Meshy, a 3D GenAI tool, is revolutionizing the creation of 3D assets, significantly reducing costs and development time for AAA games, which typically require substantial resources [32][39]. - The tool allows for rapid generation of 3D models, enabling smaller studios to validate concepts quickly and efficiently [41][43]. - The integration of 3D GenAI is seen as a critical factor in reducing the high costs associated with AAA game development, which can reach up to $200 million [39][40]. Group 4: Market Trends and Player Acceptance - The trend of AI in gaming is gaining momentum, with 60% of Chinese studios already utilizing generative AI in their development processes [48]. - Despite the growing acceptance of AI tools among developers, there remains a cautious sentiment among players regarding AI-generated content, necessitating transparency and trust-building measures from game companies [62][65]. - The article suggests that as AI capabilities improve, player acceptance will likely increase, leading to a new form of game creation [66].

Core Insights - The gaming industry is undergoing a dual upgrade in technology and creativity, with 62% of game studios applying AI across the entire development process, leading to a 30% increase in development efficiency [1][4][10] Group 1: AI Integration in Gaming - AI technology is being increasingly integrated into game development and publishing processes, with a focus on enhancing efficiency and creativity [1][4] - Amazon Web Services (AWS) aims to combine generative AI with game engines to create more possibilities for developers, marking a significant step in their AI strategy [4][10] Group 2: Global Market Expansion - The normalization of game license approvals in China has led to a new active period in the gaming industry, pushing many products to target global markets due to intense domestic competition [4][5] - AI is seen as a key solution for Chinese game companies looking to expand overseas, addressing challenges such as localization and cultural differences [5][10] Group 3: AI Solutions for Localization - AWS provides specialized solutions for AI safety and compliance, such as the Guardrails feature in Amazon Bedrock, which filters out inappropriate content during production [5][10] - The complexity of global operations, especially in regions with diverse languages and cultural sensitivities, necessitates advanced AI tools for effective communication and content management [5][10] Group 4: AI as a Core Driver in Game Development - The focus of game companies is shifting from cost reduction to leveraging generative AI for enhancing game design and planning, with AI becoming a core driver of the gaming experience [10][11] - AI-driven development paradigms, such as AI-DLC, are emerging, where AI takes the lead in the development process while humans focus on oversight and decision-making [10][11] Group 5: Infrastructure and Support for Game Developers - AWS's global infrastructure supports game companies in launching products worldwide, exemplified by successful case studies of games achieving significant player engagement [9][10] - AWS offers a three-layer generative AI service model, providing tools and infrastructure that enable small and medium-sized game companies to keep pace with AI advancements [12]