[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"content-doc-dcio630c869f":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,"useContentVideo":5,"duration":24,"price":24,"priceText":25,"priceBadgeText":25,"priceBadgeClass":26,"freeForMinGroupLevel":24,"redirectUrl":6,"readyToStream":5},"dcio630c869f","英伟达也卡脖子了！","\u002Fdoc\u002Fdcio630c869f","col18178739ee","美股资讯","\u002Fcol\u002Fcol18178739ee","\u003Cp>据美股投资网了解到，英伟达正在考虑把下一代Rubin Ultra的HBM配置砍一刀——从此前市场流传的四颗计算Die、16组HBM4E，估调整为两颗Die和8组HBM4E。 \u003C\u002Fp>\u003Cfigure class=\"image\" data-img-size-val=\"1047,1280\">\u003Cimg style=\"aspect-ratio:1047\u002F1280;\" src=\"https:\u002F\u002Fimg.36krcdn.com\u002Fhsossms\u002F20260807\u002Fv2_ae5710cec2194d2f98e20615fdc85ece@5576020_oswg865337oswg1047oswg1280_img_000\" width=\"1047\" height=\"1280\">\u003C\u002Ffigure>\u003Cp>乍一看，这不是在给下一代芯片\"减配\"吗？ \u003C\u002Fp>\u003Cp>\u003Cstrong>但仔细想想，这恰恰说明英伟达现在最头疼的问题已经不是\"芯片能不能设计出来\"，而是\"设计出来了能不能交得出去\"。\u003C\u002Fstrong> 一台AI服务器要真正出货，GPU、HBM、先进封装、网络、电力，一个都不能少。现在HBM成了最短的那块板，你单卡堆再多内存也没用，因为高端HBM供应正在成为交付约束。 \u003C\u002Fp>\u003Cp>与其把有限的HBM集中到少数几张卡上，不如每颗少装一点，让同样多的HBM去支撑更多的GPU和机架。 所以美股投资网认为，这件事不能简单理解成\"存储需求要下来了\"。HBM的总需求看的是三个东西：单卡搭载量、GPU出货量、机架密度。单卡少了，但如果Rubin系统整体交付量上去了，总需求照样可能继续涨。 对\u003C\u002Fp>\u003Cp>英伟达自己来说，这步棋很实际——降物料成本、缓解供应压力、保住Rubin的交付节奏。代价就是做大模型训练、长上下文推理这些吃内存的活，可能需要更多卡来协同。 \u003C\u002Fp>\u003Cp>做存储的朋友，真正该盯的不是\"单卡少了几组HBM\"，而是SK海力士、美光、三星的HBM4E良率和产能爬坡到什么程度了，以及Rubin机架最终能出多少。做封装和系统端的，也要看更多GPU出货能不能真正传导到CoWoS、基板、网络和电源上。\u003C\u002Fp>\u003Cp> 说到底，AI算力竞争的瓶颈正在转移——从\"谁的GPU更强\"，变成了\"谁能把GPU、HBM、封装、网络和电力拼成一套能交付的系统\"。 下一轮硬件竞争，赢的未必是芯片性能最高的那家，而是谁能用有限的HBM，交付出最多的有效算力。 \u003C\u002Fp>\u003Cp>美股投资网是一家专门研究美股的金融科技公司，2008年成立于美国硅谷，由前纽约证券交易所分析师Ken创立，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模型，建立了一个股市数据库StockWe.com\u002F每天处理千万级股票数据：捕捉期权大单，实时主力资金流向、机构持仓变化、存储突发新闻 。\u003C\u002Fp>\u003Cp> \u003C\u002Fp>\u003Cp>本文来自微信公众号\u003Ca target=\"_blank\" rel=\"noopener noreferrer\" href=\"https:\u002F\u002Fmp.weixin.qq.com\u002Fs\u002FTucRYs9bMZjXzipJkRfA-w\" _href=\"https:\u002F\u002Fmp.weixin.qq.com\u002Fs\u002FTucRYs9bMZjXzipJkRfA-w\">“美股投资网”\u003C\u002Fa>，作者：StockWe.com，36氪经授权发布。\u003C\u002Fp>","\u002Fimg\u002Fstockwebsiteblob\u002Fweb-202608-stk\u002FUploaderz22da4xrldm_2026_08_07_00_58_18.jpg","2026-08-07T07:56:40.097","2026.08.07","2026\u002F08\u002F07",30239,[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,"useContentVideo":5,"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=\"\u002Fimg\u002Fstockwewebfiles\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],"\u002Fimg\u002Fstockwebsiteblob\u002Fweb-202509-stk\u002FUploaderzic2tuwsol2_2025_09_11_18_21_07.gif","\u002Fimg\u002Fstockwebsiteblob\u002Fweb-202509-stk\u002FUploadercakzdvydksw_2025_09_03_09_00_56.png","\u002Fimg\u002Fstockwebsiteblob\u002Fweb-202509-stk\u002FUploadergtjyagwvoyk_2025_09_14_08_32_05.png","\u002Fimg\u002Fstockwebsiteblob\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,"courseContent":87,"more":88,"buyNow":89,"subscribeNow":90,"encoding":91,"paidContent":92},"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","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"]