[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"content-doc-dcio7dad3581":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},"dcio7dad3581","六个月变14天：英伟达(NVDA)推出DSX-POD，AI工厂交付迎来“集装箱化”","\u002Fdoc\u002Fdcio7dad3581","col18178739ee","美股资讯","\u002Fcol\u002Fcol18178739ee","\u003Cp>\n\u003C\u002Fp>\u003Cp>\u003Cspan>美股投资网获悉，英伟达(NVDA)在柏林GTC大会上发布了DSX POD，这是一套面向完整Vera Rubin AI工厂的参考设计，由合作伙伴在模块化集装箱中建造，交付前完成集成与验证。\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan>这些单元运抵现场后即可接入站点的电力、冷却和网络基础设施，有望将部署时间从六个月缩短至最短14天。\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan>该设计将计算系统、网络、布线、机架级供电和液冷的集成工作从施工现场转移到工厂。英伟达表示，这一方式可减少施工量、人工需求、物流挑战和延误，使客户能更快地将AI训练和推理系统上线，更早产生收入。\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan>英伟达CEO黄仁勋表示,“AI工厂在开始生产token时创造价值——而不是在施工完成时，”“借助英伟达  DSX POD，我们将工厂制造的精度与速度带入AI基础设施建设——把部署时间从数月缩短至数周，让客户能够扩张产能、更快地将创收型生产系统上线。”\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan>英伟达称，其DSX参考设计采用闭环液冷和干冷器，可实现设施冷却用水接近于零，对于一座2吉瓦规模的部署，潜在节水量可达每天5400万升。\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan>此外，DSX MaxLPS软件可帮助运营商在生成相同数量token的情况下最多减少30%的功耗，CoreWeave(CRWV)、Firmus、谷歌云(GOOGL)、IREN(IREN)、Lambda、Nebius(NBIS)、Nscale和Sharon AI均计划采用该技术。\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan>这家AI公司正与Anduril、Armada、Bull、Crusoe、DayOne、戴尔科技(DELL)、Delta、伊顿(ETN)、富士康旗下Ingrasys、技嘉、慧与(HPE)、联想、和硕、广达云科技、施耐德电气(SBGSF)和Vertiv(VRT)合作，在全球交付DSX POD 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