[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"content-doc-dciodf0dbb81":3},{"user":4,"document":8,"mainDocument":27,"columnUrl":29,"subscription":30,"footer":42,"text":77},{"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},"dciodf0dbb81","不止GPU！英伟达(NVDA)GTC-2026连发LPU、CPU新品-全面布局AI数据中心每一环","\u002Fdoc\u002Fdciodf0dbb81","col18178739ee","美股资讯","\u002Fcol\u002Fcol18178739ee","\u003Cp> \u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">美股投资网获悉，美东时间周一，英伟达(NVDA)在加州圣何塞正式拉开GTC大会帷幕，一口气发布多款全新芯片与平台，从新一代Nvidia Groq 3语言处理单元(LPU)，到专为与英特尔(INTC)、AMD(AMD)一较高下设计的Vera中央处理器(CPU)整机柜。\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">据悉，英伟达此次共推出五款大型服务器整机柜，分别面向AI数据中心内不同场景需求。\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">而其中最重磅的发布，当属Nvidia Groq 3芯片。去年12月，英伟达以200亿美元协议收购Groq相关技术授权，并将其创始人Jonathan Ross、总裁Sunny Madra及核心团队一并纳入麾下。\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">Groq处理器专攻AI推理——即运行AI模型的核心环节。当用户在ChatGPT、Claude或Gemini输入指令并获得回复时，背后正是推理技术在发挥作用。\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">与英伟达通用型GPU既能训练又能运行模型的特性不同，Groq 3的推出标志着公司正式拥有专用推理芯片，以应对AI市场从模型训练向模型应用转型的迫切需求。\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">英伟达超大规模与高性能计算副总裁Ian Buck介绍称，虽然GPU支持更大内存容量，但Groq 3的LPU内存具备更快存取速度。通过将两者性能优势结合，全新Groq 3 LPX平台应运而生——该服务器整机柜集成128个独立Groq 3 LPU，与Vera Rubin NVL72机架协同工作时，每兆瓦吞吐量可提升35倍，创造10倍的收益潜力。\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">“针对万亿参数模型与百万Token上下文优化的LPX架构，与Vera Rubin形成完美互补，在功耗、内存与算力间实现效率最大化。这种每瓦特吞吐量与Token性能的突破，将催生超高端万亿参数推理服务，为所有AI服务商打开新的增长空间，”英伟达在官方声明中强调。\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">LPX整机柜的推出，有力回应了市场对英伟达可能在新兴推理芯片创企冲击下失去优势的担忧。与此同时，独立部署的Vera CPU机架同样引人注目——这个采用256颗液冷Vera芯片的集群系统，标志着英伟达首次将Vera CPU从“Vera Rubin超级芯片”(包含1个Vera CPU+2个Rubin GPU)中解构出来。\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">随着智能体AI兴起，CPU的战略价值日益凸显。当AI代理需要执行浏览网页或提取表格信息等任务时，CPU性能直接决定执行效率。在数据挖掘、个性化推荐等需要为GPU提供上下文分析的场景中，CPU同样扮演着不可替代的角色。\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">“Vera是为智能体AI工作负载量身定制的终极CPU，”Buck介绍道，“我们重新定义了CPU架构——由英伟达专为AI执行设计的Olympus核心，能在极端条件下实现更快响应，完美适配所有强化学习场景。”\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">这并非英伟达首次涉足CPU领域。上月与Meta(META)达成的协议，将部署史上最大规模的上一代Grace CPU集群。而此次Vera的独立发布，则标志着英伟达正式确立“GPU+CPU”双轮驱动战略，剑指英特尔与AMD统治的数据中心市场。\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">除上述产品外，英伟达还展示了Bluefield-4 STX存储整机柜系统(相较传统方案实现性能跃升)与Spectrum-6 SPX网络整机柜。\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">随着AI平台需求持续增长，英伟达的全新产品线预计将进一步拉动数据中心业务营收。2026财年，其数据中心营收已1935亿美元，较2025财年的1162亿美元大幅增长。在亚马逊(AMZN)、谷歌(GOOGL)、Meta、微软(MSFT)等巨头今年计划投入的6500亿美元AI资本支出中，英伟达无疑将分得可观份额。\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">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>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">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>\r\n\u003Cp> \u003C\u002Fp>","https:\u002F\u002Fwww.tradesmax.com\u002Fimages\u002Fa_Stock\u002FU\u002FU\u002FU.jpg","2026-03-17T14:43:53","2026.03.17","2026\u002F03\u002F17",43976,[22],"U","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":68,"summaryHtml":73,"aboutTitle":74,"aboutHtml":75,"copyrightHtml":76},[44,47,50,53,56,59,62,65],{"label":45,"url":46},"深度报告","\u002Fcol\u002FdepthReport",{"label":48,"url":49},"VIP会员","\u002Fplan",{"label":51,"url":52},"期权推荐","\u002FOption",{"label":54,"url":55},"低价暴涨股","\u002FPenny",{"label":57,"url":58},"常见问题","https:\u002F\u002Fstockwe.com\u002FFAQ",{"label":60,"url":61},"美股课程","\u002Fcol\u002Fvideos",{"label":63,"url":64},"免责声明","\u002Fdisclaimer",{"label":66,"url":67},"联系我们","\u002FContactUs",[69,70,71,72],"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 StockWe.com 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，每天处理千万级股票数据：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，精准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":78,"search":79,"searchPlaceholder":79,"hotContent":80,"draft":81,"noData":82,"searchNoData":83,"edit":84,"editVideo":85,"courseContent":86,"more":87,"buyNow":88,"subscribeNow":89,"encoding":90,"paidContent":91},"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"]