如果您希望可以时常见面，欢迎标星收藏哦~ 来源：本文 编译自 tomshardware ，谢谢。 埃隆·马斯克的 xAI 孟菲斯超级集群一期项目刚刚达到满负荷运营，现场变电站已投入运营并连接 到主电网。据大孟菲斯商会称，该站点将从孟菲斯电力、燃气和水务局 (MLGW) 和田纳西河谷管 理局 (TVA) 获得 150 兆瓦的电力。除此之外，xAI Colossus 超级计算机还拥有另外 150 兆瓦的 Megapack 电池作为备用电源，使其能够在断电或用电需求增加时持续供电。 马 斯 克于去 年 7 月 首 次 启 动 他的 AI 集 群 ， 该 集 群 在 单 一 架 构 上 搭 载 了 10 万 块 Nvidia H100 GPU。这台 xAI 超级计算机的搭建速度非常快，公司只用了 19 天就将其投入运行——而 Nvidia 首席执行官黄仁勋表示，这通常需要四年时间。然而，如此快的速度意味着它不得不走一些捷径， 比如在没有电网供电的情况下启动，因此该站点使用了大量天然气涡轮发电机来满足其电力需求。 初步报告称，该站点内停放了 14 台发电机，每台输出功率为 2.5 兆瓦，但一些居民最近抱怨说， 附近发现 ...

Core Viewpoint - Nvidia has faced significant stock volatility in 2025, with a year-to-date decline of 15%, primarily due to concerns over potential demand reduction for its data center chips amid tariff implications [1][9] Group 1: Tariff Impact and Customer Spending - Although semiconductors are exempt from aggressive tariffs, Nvidia's customers may still experience increased costs, potentially leading to reduced capital expenditures [2] - Major customers like Meta, Microsoft, Alphabet, and Amazon have provided positive updates on their AI spending plans for 2025, indicating continued demand for Nvidia's chips [2][12] - Meta raised its 2025 capex forecast to $64 billion to $72 billion, Microsoft plans to spend around $80 billion, Alphabet maintains a $75 billion forecast, and Amazon is set to spend approximately $105 billion [12] Group 2: Nvidia's Technological Advancements - Nvidia's H100 GPU was the leading AI data center chip in 2023 and most of 2024, but has been succeeded by the more advanced Blackwell and Blackwell Ultra architectures, with the latter offering up to 50 times faster AI inference in specific configurations [4][6] - The upcoming Rubin GPUs, expected in 2026, are projected to deliver 3.3 times more compute performance, further enhancing Nvidia's position in the AI market [7] Group 3: Market Position and Future Growth - Nvidia generated $115.2 billion in data center revenue for fiscal 2025, marking a 142% increase from the previous year, with predictions of data center spending exceeding $1 trillion annually by 2028 [14] - Demand for Nvidia's chips currently exceeds supply, making it difficult for companies to cancel orders without risking a competitive disadvantage in AI [16] - Nvidia's stock is viewed as a buying opportunity, trading at a P/E ratio of 39, significantly lower than its 10-year average above 50 [11]

来源：内容 编译自 businessinsider. ，谢谢。 去年，亚马逊庞大的零售业务面临一个重大问题：它无法获得足够的AI芯片来完成关键工作。 据《商业内幕》获取的一系列亚马逊内部文件显示，由于多个项目被延迟，这家西方世界最大的电 商公司发起了一场激进的内部流程和技术改革，以解决这一问题。 这项举措罕见地揭示了一家科技巨头是如何在英伟达等行业供应商的支持下，在内部协调GPU组 件供需的细节。 2024年初，生成式AI热潮全面爆发，成千上万家公司争夺用于部署这项强大新技术的基础设施资 源。 如果您希望可以时常见面，欢迎标星收藏哦~ "随时可开工" 根据《商业内幕》获得的文件，亚马逊现在要求每一项GPU请求都必须提供详细数据和投资回报 证明。 项目将根据多个因素进行"优先排序和排名"，包括所提供数据的完整性以及每颗GPU带来的财务 收 益 。 项 目 还 必 须 " 随 时 可 开 工 " （ 即 已 获 得 开 发 批 准 ） ， 并 证 明 自 己 处 于 一 场 " 抢 占 市 场 的 竞 争"中，还要明确说明何时能实现预期成果。 一份2024年末的内部文件提到，亚马逊零售部门计划在2025年第一季度 ...

Investment Rating - The report maintains an "Overweight" rating for the electronic industry [1] Core Insights - The Ascend 910C chip, developed by Huawei, has significantly improved its yield rate, increasing from 20% to nearly 40% over the past year, with a substantial production plan enhancement for 2025 [1] - The performance of the Ascend 910C is reported to be equivalent to 60% of Nvidia's H100 GPU, indicating strong competitive positioning in the AI chip market [1] - The demand for high-performance connectors and advanced printed circuit boards (PCBs) is expected to rise due to the increasing computational power requirements of AI servers [2] - AI servers, such as Huawei's Atlas 800T A2, have high power consumption, necessitating advancements in power supply solutions to meet these demands [3] Industry Chain Related Companies - Huafeng Technology is one of Huawei's domestic suppliers for high-speed backplane connectors, with plans to start mass production in July 2024 [4] - Shennan Circuits operates in PCB manufacturing and has products applied in the AI server sector [4] - Nanya Technology has achieved domestic substitution in high-speed copper-clad laminates and has received certification for its high-end products from global AI server manufacturers [4] - Xingsen Technology focuses on PCB materials essential for chip packaging and testing processes [4] - Oulutong provides high-power server power supplies suitable for large model AI servers, anticipating growth opportunities in this segment [4]