[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"content-doc-dcio6fe89a72":3},{"user":4,"document":8,"mainDocument":27,"columnUrl":29,"subscription":30,"footer":42,"text":80},{"isAuthenticated":5,"isAdmin":5,"displayName":6,"avatarUrl":6,"nid":6,"groupLevel":7},false,"",-10,{"id":9,"fullTitle":10,"subTitle":6,"url":11,"columnId":12,"columnName":13,"columnUrl":14,"summary":6,"contentHtml":15,"mainContentHtml":6,"posterUrl":16,"createDate":17,"displayDate":18,"displayDateSlash":19,"pageviews":20,"tags":21,"hidden":5,"isSubContent":5,"replyDocOrTargetId":6,"contentType":23,"videoId":6,"liveVideoUrl":6,"duration":24,"price":24,"priceText":25,"priceBadgeText":25,"priceBadgeClass":26,"freeForMinGroupLevel":24,"redirectUrl":6,"readyToStream":5},"dcio6fe89a72","英伟达下一代机柜功耗暴涨100倍，电网快撑不住了","\u002Fdoc\u002Fdcio6fe89a72","col18178739ee","美股资讯","\u002Fcol\u002Fcol18178739ee","\u003Cp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">AI\u003Cspan style=\"font-family: DengXian;\">算力的狂飙，正撞上一堵越来越难绕开的现实之墙——电力。\u003C\u002Fspan>\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">\u003Cspan style=\"font-family: DengXian;\">根据\u003C\u002Fspan>\u003Cspan style=\"font-family: DengXian;\">美国银行（\u003C\u002Fspan>Bank of America\u003Cspan style=\"font-family: DengXian;\">）\u003C\u002Fspan>\u003Cspan style=\"font-family: DengXian;\">最新研究，随着\u003C\u002Fspan> NVIDIA GPU\u003Cspan style=\"font-family: DengXian;\">平台持续迭代，\u003C\u002Fspan>AI\u003Cspan style=\"font-family: DengXian;\">数据中心的单机柜功耗，正从传统服务器时代的\u003C\u002Fspan>10\u003Cspan style=\"font-family: DengXian;\">至\u003C\u002Fspan>15\u003Cspan style=\"font-family: DengXian;\">千瓦，跃升至\u003C\u002Fspan>2029\u003Cspan style=\"font-family: DengXian;\">—\u003C\u002Fspan>2030\u003Cspan style=\"font-family: DengXian;\">年“\u003C\u002Fspan>Feynman\u003Cspan style=\"font-family: DengXian;\">”平台时代的\u003C\u002Fspan>1.5\u003Cspan style=\"font-family: DengXian;\">兆瓦以上，增幅接近\u003C\u002Fspan>100\u003Cspan style=\"font-family: DengXian;\">倍。换句话说，未来一个\u003C\u002Fspan>AI\u003Cspan style=\"font-family: DengXian;\">机柜的耗电量，甚至足以支撑约\u003C\u002Fspan>1000\u003Cspan style=\"font-family: DengXian;\">户美国家庭的用电需求。\u003C\u002Fspan>\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-family: DengXian; font-size: large;\">而问题在于：现有电网和配电体系，根本不是为这种级别的功率密度设计的。\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">\u003Cspan style=\"font-family: DengXian;\">美银测算显示，\u003C\u002Fspan>2025\u003Cspan style=\"font-family: DengXian;\">年至\u003C\u002Fspan>2030\u003Cspan style=\"font-family: DengXian;\">年间，全球\u003C\u002Fspan>AI\u003Cspan style=\"font-family: DengXian;\">数据中心将新增约\u003C\u002Fspan>233\u003Cspan style=\"font-family: DengXian;\">吉瓦电力需求，年度新增需求将从\u003C\u002Fspan>2025\u003Cspan style=\"font-family: DengXian;\">年的\u003C\u002Fspan>17\u003Cspan style=\"font-family: DengXian;\">吉瓦快速攀升至\u003C\u002Fspan>2030\u003Cspan style=\"font-family: DengXian;\">年的\u003C\u002Fspan>60\u003Cspan style=\"font-family: DengXian;\">吉瓦。这一速度，已经明显超出\u003C\u002Fspan> International Energy Agency \u003Cspan style=\"font-family: DengXian;\">基于现有项目规划所做的预测。电力，正在成为\u003C\u002Fspan>AI\u003Cspan style=\"font-family: DengXian;\">扩张过程中最核心、也最现实的瓶颈。\u003C\u002Fspan>\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-family: DengXian; font-size: large;\">但与此同时，这场“电力危机”，也可能孕育出下一轮巨大的产业机会。\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">\u003Cspan style=\"font-family: DengXian;\">美银预计，\u003C\u002Fspan>AI\u003Cspan style=\"font-family: DengXian;\">数据中心相关的模拟半导体市场规模（\u003C\u002Fspan>TAM\u003Cspan style=\"font-family: DengXian;\">），将从\u003C\u002Fspan>2025\u003Cspan style=\"font-family: DengXian;\">年的\u003C\u002Fspan>79\u003Cspan style=\"font-family: DengXian;\">亿美元增长至\u003C\u002Fspan>2030\u003Cspan style=\"font-family: DengXian;\">年的约\u003C\u002Fspan>270\u003Cspan style=\"font-family: DengXian;\">亿美元，五年复合增速高达\u003C\u002Fspan>28%\u003Cspan style=\"font-family: DengXian;\">。其中，碳化硅（\u003C\u002Fspan>SiC\u003Cspan style=\"font-family: DengXian;\">）与氮化镓（\u003C\u002Fspan>GaN\u003Cspan style=\"font-family: DengXian;\">）等宽禁带半导体材料，原本主要依赖新能源车与工业市场，如今正快速转向\u003C\u002Fspan>AI\u003Cspan style=\"font-family: DengXian;\">数据中心这一长期结构性需求。\u003C\u002Fspan>\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">\u003Cspan style=\"font-family: DengXian;\">换句话说，\u003C\u002Fspan>AI\u003Cspan style=\"font-family: DengXian;\">的下一场军备竞赛，已经不只是“谁的\u003C\u002Fspan>GPU\u003Cspan style=\"font-family: DengXian;\">更强”，而是“谁能把电送进去”。\u003C\u002Fspan>\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">\u003Cspan style=\"font-family: DengXian;\">从千瓦到兆瓦：\u003C\u002Fspan>AI\u003Cspan style=\"font-family: DengXian;\">算力背后的“耗电爆炸”\u003C\u002Fspan>\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">\u003Cspan style=\"font-family: DengXian;\">美银在报告中详细拆解了\u003C\u002Fspan> NVIDIA \u003Cspan style=\"font-family: DengXian;\">各代\u003C\u002Fspan>AI\u003Cspan style=\"font-family: DengXian;\">平台的功耗演进路径：\u003C\u002Fspan>\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">2022\u003Cspan style=\"font-family: DengXian;\">年的\u003C\u002Fspan> Hopper H100 HGX \u003Cspan style=\"font-family: DengXian;\">机柜，总功耗约\u003C\u002Fspan>32\u003Cspan style=\"font-family: DengXian;\">千瓦；\u003C\u002Fspan>\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">\u003Cspan style=\"font-family: DengXian;\">到\u003C\u002Fspan> Blackwell GB200 NVL72 \u003Cspan style=\"font-family: DengXian;\">平台，功耗已提升至\u003C\u002Fspan>100\u003Cspan style=\"font-family: DengXian;\">至\u003C\u002Fspan>120\u003Cspan style=\"font-family: DengXian;\">千瓦；\u003C\u002Fspan>\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">\u003Cspan style=\"font-family: DengXian;\">即将到来的\u003C\u002Fspan> Rubin Ultra NVL576\u003Cspan style=\"font-family: DengXian;\">，预计单机柜功耗突破\u003C\u002Fspan>646\u003Cspan style=\"font-family: DengXian;\">千瓦；\u003C\u002Fspan>\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">\u003Cspan style=\"font-family: DengXian;\">而到了\u003C\u002Fspan>2029\u003Cspan style=\"font-family: DengXian;\">—\u003C\u002Fspan>2030\u003Cspan style=\"font-family: DengXian;\">年的\u003C\u002Fspan> Feynman \u003Cspan style=\"font-family: DengXian;\">平台，单机柜功耗将超过\u003C\u002Fspan>1.5\u003Cspan style=\"font-family: DengXian;\">兆瓦。\u003C\u002Fspan>\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-family: DengXian; font-size: large;\">功耗为何会以如此夸张的速度上升？\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">\u003Cspan style=\"font-family: DengXian;\">核心原因在于\u003C\u002Fspan>AI\u003Cspan style=\"font-family: DengXian;\">集群越来越依赖“超大规模\u003C\u002Fspan>GPU\u003Cspan style=\"font-family: DengXian;\">组网”。\u003C\u002Fspan>\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">\u003Cspan style=\"font-family: DengXian;\">为了追求极限性能，大量\u003C\u002Fspan>GPU\u003Cspan style=\"font-family: DengXian;\">必须通过超短距离铜互连高度集成。\u003C\u002Fspan>NVIDIA \u003Cspan style=\"font-family: DengXian;\">将这一问题称为“性能密度陷阱”——性能越高，功率密度就越高，两者几乎被物理规律绑定在一起。\u003C\u002Fspan>\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">\u003Cspan style=\"font-family: DengXian;\">从\u003C\u002Fspan> Hopper \u003Cspan style=\"font-family: DengXian;\">到\u003C\u002Fspan> Blackwell\u003Cspan style=\"font-family: DengXian;\">：\u003C\u002Fspan>\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">GPU TDP\u003Cspan style=\"font-family: DengXian;\">（热设计功耗）提升约\u003C\u002Fspan>75%\u003Cspan style=\"font-family: DengXian;\">；\u003C\u002Fspan>\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">\u003Cspan style=\"font-family: DengXian;\">但机柜功率密度提升了\u003C\u002Fspan>3.4\u003Cspan style=\"font-family: DengXian;\">倍；\u003C\u002Fspan>\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">\u003Cspan style=\"font-family: DengXian;\">整体\u003C\u002Fspan>AI\u003Cspan style=\"font-family: DengXian;\">性能却提升了接近\u003C\u002Fspan>50\u003Cspan style=\"font-family: DengXian;\">倍。\u003C\u002Fspan>\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">\u003Cspan style=\"font-family: DengXian;\">美银认为，每一次\u003C\u002Fspan>AI\u003Cspan style=\"font-family: DengXian;\">组网规模扩张，都可能带来\u003C\u002Fspan>2\u003Cspan style=\"font-family: DengXian;\">至\u003C\u002Fspan>4\u003Cspan style=\"font-family: DengXian;\">倍的总功耗增长。\u003C\u002Fspan>\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-family: DengXian; font-size: large;\">而这并不只是英伟达的问题。\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">Advanced Micro Devices \u003Cspan style=\"font-family: DengXian;\">的\u003C\u002Fspan> Helios \u003Cspan style=\"font-family: DengXian;\">平台、\u003C\u002Fspan>Amazon Web Services \u003Cspan style=\"font-family: DengXian;\">的\u003C\u002Fspan> Trainium 3\u003Cspan style=\"font-family: DengXian;\">、以及\u003C\u002Fspan> Google \u003Cspan style=\"font-family: DengXian;\">的\u003C\u002Fspan> Ironwood ASIC\u003Cspan style=\"font-family: DengXian;\">，也都在走向更高功耗密度。\u003C\u002Fspan>\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">\u003Cspan style=\"font-family: DengXian;\">未来，高功耗几乎会成为所有顶级\u003C\u002Fspan>AI\u003Cspan style=\"font-family: DengXian;\">平台的共同宿命。\u003C\u002Fspan>\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-family: DengXian; font-size: large;\">传统数据中心架构，正在逼近物理极限\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-family: DengXian; font-size: large;\">问题是，今天的数据中心配电体系，本来是为“互联网服务器时代”设计的。\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">\u003Cspan style=\"font-family: DengXian;\">传统架构采用\u003C\u002Fspan>48V\u002F54V\u003Cspan style=\"font-family: DengXian;\">直流供电：\u003C\u002Fspan>\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-family: DengXian; font-size: large;\">电网高压交流电进入数据中心；\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-family: DengXian; font-size: large;\">经多级降压与转换；\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">\u003Cspan style=\"font-family: DengXian;\">最后再送到\u003C\u002Fspan>GPU\u003Cspan style=\"font-family: DengXian;\">核心不足\u003C\u002Fspan>1V\u003Cspan style=\"font-family: DengXian;\">的电压轨。\u003C\u002Fspan>\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">\u003Cspan style=\"font-family: DengXian;\">但在兆瓦级\u003C\u002Fspan>AI\u003Cspan style=\"font-family: DengXian;\">机柜面前，这套体系开始全面失效。\u003C\u002Fspan>\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-family: DengXian; font-size: large;\">第一，空间不够\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">\u003Cspan style=\"font-family: DengXian;\">一台\u003C\u002Fspan>GB300 NVL72\u003Cspan style=\"font-family: DengXian;\">机柜，就需要多达\u003C\u002Fspan>8\u003Cspan style=\"font-family: DengXian;\">个电源货架。\u003C\u002Fspan>\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">\u003Cspan style=\"font-family: DengXian;\">如果继续沿用\u003C\u002Fspan>54V\u003Cspan style=\"font-family: DengXian;\">架构，未来\u003C\u002Fspan>Rubin Ultra\u003Cspan style=\"font-family: DengXian;\">平台的大量机架空间，都会被电源系统占据，真正用于计算的空间反而被压缩。\u003C\u002Fspan>\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-family: DengXian; font-size: large;\">第二，铜不够\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">\u003Cspan style=\"font-family: DengXian;\">在\u003C\u002Fspan>1\u003Cspan style=\"font-family: DengXian;\">兆瓦级机柜中，\u003C\u002Fspan>54V\u003Cspan style=\"font-family: DengXian;\">直流系统可能需要约\u003C\u002Fspan>200\u003Cspan style=\"font-family: DengXian;\">公斤铜排才能完成供电。\u003C\u002Fspan>\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">\u003Cspan style=\"font-family: DengXian;\">如果未来\u003C\u002Fspan>AI\u003Cspan style=\"font-family: DengXian;\">数据中心进入吉瓦级规模，这种铜消耗几乎不可持续。\u003C\u002Fspan>\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-family: DengXian; font-size: large;\">第三，效率不够\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">\u003Cspan style=\"font-family: DengXian;\">传统架构中，每一次交流\u003C\u002Fspan>\u002F\u003Cspan style=\"font-family: DengXian;\">直流转换都会损失约\u003C\u002Fspan>1%\u003Cspan style=\"font-family: DengXian;\">至\u003C\u002Fspan>2%\u003Cspan style=\"font-family: DengXian;\">的能量。\u003C\u002Fspan>\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">\u003Cspan style=\"font-family: DengXian;\">而\u003C\u002Fspan>AI\u003Cspan style=\"font-family: DengXian;\">数据中心往往需要多级转换，这不仅意味着更高能耗，也意味着更多故障点。\u003C\u002Fspan>\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">800V\u003Cspan style=\"font-family: DengXian;\">直流，正在成为下一代\u003C\u002Fspan>AI\u003Cspan style=\"font-family: DengXian;\">数据中心标准\u003C\u002Fspan>\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">\u003Cspan style=\"font-family: DengXian;\">为了解决这些问题，行业正在快速转向\u003C\u002Fspan>800V\u003Cspan style=\"font-family: DengXian;\">直流（\u003C\u002Fspan>800 VDC\u003Cspan style=\"font-family: DengXian;\">）架构。\u003C\u002Fspan>\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-family: DengXian; font-size: large;\">逻辑非常简单：\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-family: DengXian; font-size: large;\">尽可能减少中间转换环节，把“交流转直流”的步骤提前。\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-family: DengXian; font-size: large;\">在新架构下：\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">13.8kV\u003Cspan style=\"font-family: DengXian;\">交流电进入园区后；\u003C\u002Fspan>\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">\u003Cspan style=\"font-family: DengXian;\">直接整流成\u003C\u002Fspan>800V\u003Cspan style=\"font-family: DengXian;\">直流；\u003C\u002Fspan>\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">\u003Cspan style=\"font-family: DengXian;\">再送往机柜与\u003C\u002Fspan>GPU\u003Cspan style=\"font-family: DengXian;\">。\u003C\u002Fspan>\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">\u003Cspan style=\"font-family: DengXian;\">根据美股大数据\u003C\u002Fspan> StockWe.com \u003Cspan style=\"font-family: DengXian;\">，相比传统\u003C\u002Fspan>54V\u003Cspan style=\"font-family: DengXian;\">系统，\u003C\u002Fspan>800V\u003Cspan style=\"font-family: DengXian;\">直流的优势极其明显：\u003C\u002Fspan>\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">\u003Cspan style=\"font-family: DengXian;\">端到端效率最高可提升\u003C\u002Fspan>5%\u003Cspan style=\"font-family: DengXian;\">；\u003C\u002Fspan>\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">\u003Cspan style=\"font-family: DengXian;\">同等线缆可多传输\u003C\u002Fspan>85%\u003Cspan style=\"font-family: DengXian;\">功率；\u003C\u002Fspan>\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">\u003Cspan style=\"font-family: DengXian;\">铜材料使用量减少约\u003C\u002Fspan>45%\u003Cspan style=\"font-family: DengXian;\">；\u003C\u002Fspan>\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">\u003Cspan style=\"font-family: DengXian;\">维护成本最高降低\u003C\u002Fspan>70%\u003Cspan style=\"font-family: DengXian;\">；\u003C\u002Fspan>\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">\u003Cspan style=\"font-family: DengXian;\">总拥有成本（\u003C\u002Fspan>TCO\u003Cspan style=\"font-family: DengXian;\">）改善约\u003C\u002Fspan>30%\u003Cspan style=\"font-family: DengXian;\">。\u003C\u002Fspan>\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">\u003Cspan style=\"font-family: DengXian;\">这意味着，\u003C\u002Fspan>AI\u003Cspan style=\"font-family: DengXian;\">行业未来比拼的，不再只是芯片设计，还包括整个“从电网到\u003C\u002Fspan>GPU\u003Cspan style=\"font-family: DengXian;\">”的电力系统工程能力。\u003C\u002Fspan>\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">AI\u003Cspan style=\"font-family: DengXian;\">训练还有一个隐藏问题：电网波动\u003C\u002Fspan>\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">\u003Cspan style=\"font-family: DengXian;\">更棘手的是，\u003C\u002Fspan>AI\u003Cspan style=\"font-family: DengXian;\">训练负载本身具有极强波动性。\u003C\u002Fspan>\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">\u003Cspan style=\"font-family: DengXian;\">大型模型训练时，\u003C\u002Fspan>GPU\u003Cspan style=\"font-family: DengXian;\">利用率可能在毫秒级时间内，从\u003C\u002Fspan>30%\u003Cspan style=\"font-family: DengXian;\">瞬间冲到\u003C\u002Fspan>100%\u003Cspan style=\"font-family: DengXian;\">。\u003C\u002Fspan>\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-family: DengXian; font-size: large;\">这会对电网造成极大的冲击。\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">\u003Cspan style=\"font-family: DengXian;\">因此，未来\u003C\u002Fspan>AI\u003Cspan style=\"font-family: DengXian;\">数据中心不仅需要\u003C\u002Fspan>GPU\u003Cspan style=\"font-family: DengXian;\">，还需要大规模储能系统：\u003C\u002Fspan>\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-family: DengXian; font-size: large;\">超级电容负责毫秒级功率尖峰；\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">\u003Cspan style=\"font-family: DengXian;\">电池储能系统（\u003C\u002Fspan>BESS\u003Cspan style=\"font-family: DengXian;\">）负责分钟级负载平滑。\u003C\u002Fspan>\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">\u003Cspan style=\"font-family: DengXian;\">换句话说，未来\u003C\u002Fspan>AI\u003Cspan style=\"font-family: DengXian;\">数据中心，本质上会越来越像“小型发电厂\u003C\u002Fspan> + \u003Cspan style=\"font-family: DengXian;\">储能站”。\u003C\u002Fspan>\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">AI\u003Cspan style=\"font-family: DengXian;\">电力革命，谁会成为最大赢家？\u003C\u002Fspan>\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-family: DengXian; font-size: large;\">美银认为，这场电力体系重构，将催生一个新的超级产业链。\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">\u003Cspan style=\"font-family: DengXian;\">其中最大的受益者，并不一定是\u003C\u002Fspan>GPU\u003Cspan style=\"font-family: DengXian;\">厂商，而可能是模拟半导体公司。\u003C\u002Fspan>\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-family: DengXian; font-size: large;\">美银预计：\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">AI\u003Cspan style=\"font-family: DengXian;\">模拟半导体市场规模，将从\u003C\u002Fspan>79\u003Cspan style=\"font-family: DengXian;\">亿美元增长至\u003C\u002Fspan>270\u003Cspan style=\"font-family: DengXian;\">亿美元；\u003C\u002Fspan>\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">\u003Cspan style=\"font-family: DengXian;\">高功率机柜的单柜模拟芯片价值量，将从约\u003C\u002Fspan>3.6\u003Cspan style=\"font-family: DengXian;\">万美元飙升至接近\u003C\u002Fspan>92\u003Cspan style=\"font-family: DengXian;\">万美元。\u003C\u002Fspan>\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-family: DengXian; font-size: large;\">其中几个关键方向尤其值得关注：\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">1. \u003Cspan style=\"font-family: DengXian;\">碳化硅（\u003C\u002Fspan>SiC\u003Cspan style=\"font-family: DengXian;\">）\u003C\u002Fspan>\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">SiC\u003Cspan style=\"font-family: DengXian;\">具备高压、高温、高效率优势，非常适合\u003C\u002Fspan>800V\u003Cspan style=\"font-family: DengXian;\">直流系统。\u003C\u002Fspan>\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-family: DengXian; font-size: large;\">主要受益公司包括：\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">Infineon Technologies\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">Wolfspeed\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">ON Semiconductor\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">2. \u003Cspan style=\"font-family: DengXian;\">氮化镓（\u003C\u002Fspan>GaN\u003Cspan style=\"font-family: DengXian;\">）\u003C\u002Fspan>\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">GaN\u003Cspan style=\"font-family: DengXian;\">在高频、高效率电源转换领域优势明显。\u003C\u002Fspan>\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-family: DengXian; font-size: large;\">代表企业包括：\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">Navitas Semiconductor\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">Texas Instruments\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">3. \u003Cspan style=\"font-family: DengXian;\">模拟电源芯片\u003C\u002Fspan>\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">AI\u003Cspan style=\"font-family: DengXian;\">时代，\u003C\u002Fspan>GPU\u003Cspan style=\"font-family: DengXian;\">越强，电源管理的重要性越高。\u003C\u002Fspan>\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-family: DengXian; font-size: large;\">美银预计：\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">Texas Instruments \u003Cspan style=\"font-family: DengXian;\">仍将维持行业最大份额；\u003C\u002Fspan>\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">Analog Devices \u003Cspan style=\"font-family: DengXian;\">将受益于高端电源管理；\u003C\u002Fspan>\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">Infineon Technologies \u003Cspan style=\"font-family: DengXian;\">市占率提升最明显。\u003C\u002Fspan>\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">\u003Cspan style=\"font-family: DengXian;\">下一轮\u003C\u002Fspan>AI\u003Cspan style=\"font-family: DengXian;\">大战，核心可能不再是芯片，而是能源\u003C\u002Fspan>\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">\u003Cspan style=\"font-family: DengXian;\">过去几年，市场讨论\u003C\u002Fspan>AI\u003Cspan style=\"font-family: DengXian;\">，重点始终是：\u003C\u002Fspan>\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-family: DengXian; font-size: large;\">“谁的模型更强？”\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">\u003Cspan style=\"font-family: DengXian;\">“谁的\u003C\u002Fspan>GPU\u003Cspan style=\"font-family: DengXian;\">更多？”\u003C\u002Fspan>\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-family: DengXian; font-size: large;\">但未来几年，一个更现实的问题可能会成为决定胜负的关键：\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-family: DengXian; font-size: large;\">“谁还能拿到电？”\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">AI\u003Cspan style=\"font-family: DengXian;\">产业正在从“算力竞争”，进入“能源竞争”。\u003C\u002Fspan>\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">\u003Cspan style=\"font-family: DengXian;\">而电力基础设施、模拟半导体、储能系统、宽禁带材料，可能才是\u003C\u002Fspan>AI\u003Cspan style=\"font-family: DengXian;\">时代真正被低估的底层资产。\u003C\u002Fspan>\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003C\u002Fp>","https:\u002F\u002Fwww.tradesmax.com\u002Fimages\u002Fa_Stock\u002FN\u002FNVDA\u002FNVDA.jpg","2026-05-26T17:50:18","2026.05.26","2026\u002F05\u002F26",53896,[22],"NVDA","Article",0,"免费","success",{"id":9,"fullTitle":10,"subTitle":6,"url":11,"columnId":12,"columnName":13,"columnUrl":14,"summary":6,"contentHtml":15,"mainContentHtml":6,"posterUrl":16,"createDate":17,"displayDate":18,"displayDateSlash":19,"pageviews":20,"tags":28,"hidden":5,"isSubContent":5,"replyDocOrTargetId":6,"contentType":23,"videoId":6,"liveVideoUrl":6,"duration":24,"price":24,"priceText":25,"priceBadgeText":25,"priceBadgeClass":26,"freeForMinGroupLevel":24,"redirectUrl":6,"readyToStream":5},[22],"\u002Fcol\u002Fstocknews",{"visible":5,"marketingHtml":31,"services":32,"recentDocuments":41},"\u003Cfigure class=\"image\">\u003Ca href=\"https:\u002F\u002Fstockwe.com\u002Fdoc\u002Fdcio537efad5\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg style=\"display:block;margin-left:auto;margin-right:auto;\" src=\"https:\u002F\u002Fstockwewebfiles.blob.core.windows.net\u002Fweb-202408-stk\u002F1586109431mceclip0.jpg\">\u003C\u002Fa>\u003C\u002Ffigure>\u003Cdiv class=\"text-center\">\u003Ch2 class=\"card-title mx-auto\">\u003Cbr>\u003Ca target=\"_blank\" rel=\"noopener noreferrer\" href=\"https:\u002F\u002Fstockwe.com\u002Fdoc\u002Fdcio537efad5\">案例介绍：英伟达深度研究报告\u003C\u002Fa>\u003C\u002Fh2>\u003C\u002Fdiv>",[33,37],{"productId":34,"serviceName":35,"priceText":36},"prod_PPxdDdK87QaiLv","月付","$12.95美元",{"productId":38,"serviceName":39,"priceText":40},"prod_PPxeMs3bix1da5","年付","$149.00美元",[],{"links":43,"images":71,"summaryHtml":76,"aboutTitle":77,"aboutHtml":78,"copyrightHtml":79},[44,47,50,53,56,59,62,65,68],{"label":45,"url":46},"深度报告","\u002Fcol\u002FdepthReport",{"label":48,"url":49},"VIP会员","\u002Fvip",{"label":51,"url":52},"期权推荐","\u002FOption",{"label":54,"url":55},"低价暴涨股","\u002FPenny",{"label":57,"url":58},"AI智能体","\u002FAiAgent",{"label":60,"url":61},"常见问题","https:\u002F\u002Fstockwe.com\u002FFAQ",{"label":63,"url":64},"美股课程","\u002Fcol\u002Fvideos",{"label":66,"url":67},"免责声明","\u002Fdisclaimer",{"label":69,"url":70},"联系我们","\u002FContactUs",[72,73,74,75],"https:\u002F\u002Fstockwebsiteblob.blob.core.windows.net\u002Fweb-202509-stk\u002FUploaderzic2tuwsol2_2025_09_11_18_21_07.gif","https:\u002F\u002Fstockwebsiteblob.blob.core.windows.net\u002Fweb-202509-stk\u002FUploadercakzdvydksw_2025_09_03_09_00_56.png","https:\u002F\u002Fstockwebsiteblob.blob.core.windows.net\u002Fweb-202509-stk\u002FUploadergtjyagwvoyk_2025_09_14_08_32_05.png","https:\u002F\u002Fstockwebsiteblob.blob.core.windows.net\u002Fweb-202509-stk\u002FUploader3u0tt4jhlqh_2025_09_23_22_30_48.png","邮箱: buy@TradesMax.com 美国电话 626-378-3637","公司介绍","\u003Cp class=\"MsoNormal\">美股大数据 \u003Ca href=\"https:\u002F\u002Fstockwe.com\" target=\"_blank\" rel=\"noopener\">StockWe.com\u003C\u002Fa> 是一个美国领先的金融和美股信息大数据提供商，紧盯华尔街金融市场和行情，2008年成立于美国硅谷，创始人是前纽约证券交易所资深分析师Ken，联合多位摩根斯坦利分析师，谷歌 Meta工程师利用AI和大数据，配合十多年美股实战经验和业内量化交易模型，每天处理海量股票数据：挖掘潜力大牛股，捕捉期权异动大单，实时主力资金流向、机构持仓变化、川普突发新闻，美股买卖信号第一时间发到您手机APP。\u003C\u002Fp>","专业美股投资者都在这里",{"loading":81,"search":82,"searchPlaceholder":82,"hotContent":83,"draft":84,"noData":85,"searchNoData":86,"edit":87,"editVideo":88,"courseContent":89,"more":90,"buyNow":91,"subscribeNow":92,"encoding":93,"paidContent":94},"Loading...","搜索","热门内容","草稿","目前没有任何内容公布","当前检索内容没有数据","编辑","编辑视频","课程内容","更多","立即购买后观看","- 立即订阅 -","视频编码中...","付费内容"]