[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"content-doc-dcioe128fb68":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},"dcioe128fb68","从“囤卡”到“效率为王”：戴尔(DELL)“AI工厂”扩军，新云厂商的算力生意要变天了","\u002Fdoc\u002Fdcioe128fb68","col18178739ee","美股资讯","\u002Fcol\u002Fcol18178739ee","\u003Cp>\n\u003C\u002Fp>\u003Cp>\u003Cspan>美股投资网注意到，戴尔科技(DELL)股价周三盘前大涨近6%，此前该公司宣布与英伟达(NVDA)推出一整套AI工厂(AI Factory)方案，涵盖AI解决方案与生态创新、全新的桌边智能体解决方案以及专用AI基础设施。\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan>戴尔表示，已有超过6500家企业采用了与英伟达合作的戴尔AI工厂，高于上一季度的5000家。\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan>新增产品包括对Reflection的Beam模型的支持、与Dynatrace合作的AI可观测性，以及Mistral、Fogsphere和SUSE Linux等。\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan>战略上，戴尔押注“智能体AI”机构预测智能体AI将在2028年成为最大工作负载，到2030年推理成本降90%而token消耗增24倍。戴尔以“自有基础设施+端到端托管”抢占这一波算力红利，与纯公有云租赁路线正面竞争。\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan>新云厂商的算力生意要变天了\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan>戴尔科技与英伟达联手扩容“AI工厂”组合拳，正在改写企业级AI算力的竞争格局——最直接感受到压力的，是过去两年靠“租GPU”起家的新云厂商。\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan>戴尔抛出的核心叙事是“拥有比租赁更划算”自有AI基础设施两年内成本效益可比公有云高90%，叠加DSX POD集装箱式AI工厂把部署周期从6个月压缩到14天，企业“自建算力”的算账逻辑被彻底重塑。\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan>此前，新云厂商的核心卖点是省去重资产、按需弹性、快速上量;如今戴尔用工厂预制+端到端托管，把“自建”的门槛和账期都压了下来，等于直接分走了一部分原本会流向新云厂商的租赁需求。\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan>但这并非单边利空。DSX POD本质是NVIDIA的参考设计，CoreWeave(CRWV)、Nebius(NBIS)、Lambda、Crusoe、IREN(IREN)等新云厂商本就是其早期用户——它们同样可以借这套模块化方案降低自身扩建成本、缩短交付周期。换言之，算力的“制造”与“运营”正在加速分离，新云厂商的核心竞争力正从“手里有多少GPU”转向“运营效率、软件栈深度与客户获取能力”。\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan>真正的分化点在软件与生态。戴尔用开放模型、可观测性、知识助手、安全治理织成一张端到端的网。那些只做裸金属算力出租、缺乏上层软件能力的中小新云厂商，将面临被夹在中间的挤压——上不敌超大规模云，下不敌戴尔的“全栈+自有”。\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan>行业逻辑已从“算力稀缺”走向“效率为王”。当推理成本预计到2030年降90%、token消耗却增24倍，决定胜负的不再是囤卡，而是谁能用更低的单位token成本交付ROI。戴尔押注“企业自有+智能体AI”，新云厂商则需在专用芯片、弹性规模与数据引力上证明自己不可替代。一场围绕“谁掌握企业AI落地最后一公里”的洗牌，才刚刚开始。\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 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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"]