[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"content-doc-dcio5790bbd3":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},"dcio5790bbd3","SemiAnalysis：英伟达(NVDA)Vera-Rubin每吉瓦收入较GB300高39%-盈利高42%","\u002Fdoc\u002Fdcio5790bbd3","col18178739ee","美股资讯","\u002Fcol\u002Fcol18178739ee","\u003Cp>\n\u003C\u002Fp>\u003Cp>\u003Cspan>美股投资网获悉，SemiAnalysis测算，Rubin NVL72每吉瓦年收入较最强GB300配置高39%，利润高42%。该机构将Rubin的性能优势归功于英伟达(NVDA)在计算、网络与互连方面的一体化设计。相关数据出炉之际，投资者正重新评估AI基础设施支出节奏以及英伟达近期股价回调。\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan>根据SemiAnalysis最新分析，英伟达Vera Rubin平台有望大幅改善AI推理的经济性。该机构估计，在关键智能体工作负载上，该平台每吉瓦电力产生的利润可达上一代Blackwell平台的两倍以上。\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan>性能之所以关键，在于AI基础设施日益遭遇电力约束每兆瓦token产出更高，可让云服务商和超大规模企业利用相同电力配额服务更多工作负载，从而可能提升收入与利润率。\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan>截至发稿，英伟达股价周三盘前上涨0.52%。\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan>Vera Rubin性能表现\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan>SemiAnalysis最新AgentX基准测试显示，Rubin NVL72每吉瓦年收入较最强GB300配置高约39%，测算利润高42%。\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan>分析还强调Rubin的每美元性能优势在每秒170个token(TPS)配置下，该平台每单位总拥有成本(TCO)所对应的总吞吐量最高可达GB300的67倍。\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan>SemiAnalysis将上述提升归因于英伟达对Rubin GPU、Vera CPU、NVLink 6、ConnectX-9、BlueField-4及Spectrum-6网络栈的“极致协同设计”。该设计围绕涉及长上下文和多次交互回合的智能体工作负载展开。\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan>能效尤为重要，因为AI数据中心日益受制于可用电力，而非仅仅可购买的加速器数量。\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan>Vera Rubin时间表\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan>英伟达于3月发布Vera Rubin平台，称基于Rubin的产品将于2026年下半年通过合作伙伴上市。\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan>到7月，英伟达表示NVL72产量正在爬坡，机架已在CoreWeave、谷歌云、微软Azure、甲骨文云基础设施和Nebius运行，供应链覆盖30个国家、逾350个工厂基地。\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan>在Stocktwits上，英伟达散户情绪过去一周维持“看空”不变。该股过去两周有所回调，包括周一下跌3.4%。\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan>近期疲软反映更广泛的AI交易回调在知名AI高管呼吁更加谨慎后，投资者正质疑AI支出的节奏与可持续性。\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan>最专业的美股资讯,推荐美股大数据 \u003Ca href=\"https:\u002F\u002FStockwe.com\u002F\">https:\u002F\u002FStockwe.com\u002F\u003C\u002Fa>\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan>如何识别美股市场异常波动？美国机构主力资金买卖情况，出货和吸筹，使用美股投资网VIP会员，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 \u003Ca href=\"https:\u002F\u002FStockWe.com\u002F\">https:\u002F\u002FStockWe.com\u002F\u003C\u002Fa> 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、川普突发新闻，精准交易信号第一时间发到您手机APP！\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003C\u002Fp>","https:\u002F\u002Fwww.tradesmax.com\u002Fimages\u002Fa_Stock\u002FN\u002FNVDA\u002FNVDA.jpg","2026-09-16T13:00:00","2026.09.16","2026\u002F09\u002F16",44826,[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\" rel=\"noopener noreferrer\">\u003Cimg src=\"\u002Fimg\u002Fstockwewebfiles\u002Fweb-202408-stk\u002F1586109431mceclip0.jpg\">\u003C\u002Fa>\u003C\u002Ffigure>\u003Cdiv class=\"text-center\">\u003Ch2 class=\"card-title mx-auto\">\u003Cbr>\u003Ca 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\" 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"]