[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"content-doc-dcio52aeaf6e":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},"dcio52aeaf6e","英伟达(NVDA)自研大模型Nemotron-3-Ultra亮相：性价比拉满，推理成本较闭源模型骤降90%","\u002Fdoc\u002Fdcio52aeaf6e","col18178739ee","美股资讯","\u002Fcol\u002Fcol18178739ee","\u003Cp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">美股投资网注意到，英伟达(NVDA)在周三巨头表示，其开源的 Nemotron 3 Ultra AI 模型在成本上已经超越了闭源模型。\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">英伟达在一份声明中表示，开源框架 Langchain 称，其专门为 Nemotron 3 Ultra 打造的 Deep Agents 套件能够以每次运行比某些“领先”的闭源模型低 10 倍的推理成本，完成更多的任务并实现更高的吞吐量。\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">英伟达补充道，在与 LangChain 的 Deep Agents 基准测试进行对比时，Nemotron 3 Ultra 在业务任务的表现上也与得分最高的模型旗鼓相当(具有对等性)。\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">LangChain 联合创始人兼首席执行官哈里森·蔡斯在发布会中表示“构建更好智能体的方法是不断改进模型周围的系统。当团队能够将它们放在一起进行微调时，内存、工具使用、评估和模型行为就会产生复合效应。我们与英伟达的合作表明，企业可以从开源技术栈中获得强劲的性能，同时保持对他们正在构建的智能体系统的控制。”\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">英伟达还指出，Abridge、Amdocs 和 Box正在将专门的智能体直接嵌入到他们的平台中，并且安永(EY)正在围绕其 NemoClaw 蓝图，扩大对英伟达功能的落地应用。\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">软硬一体的“终极护城河”\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">英伟达做大模型，其核心目的从来不是为了通过卖大模型API去和 OpenAI 或 Anthropic 搞直接竞争，而是为了巩固和扩大其在AI产业链上的绝对统治地位。\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">英伟达最大的护城河不是芯片，而是 CUDA 软件生态。如今，它通过推出自己的大模型(如 Nemotron 3 Ultra)，并将其打包进 NVIDIA NIM(微服务框架)中，让企业能够一键在英伟达硬件上进行部署和微调。英伟达做大模型是为了让其软件栈(AI Enterprise)更具吸引力，从而将客户牢牢绑定在英伟达的硬件和软件生态圈内，这被称为“全栈变现”。\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">像 OpenAI 这样的闭源大模型必须通过公有云访问，由于数据隐私和安全限制，很多政府机构、军工、金融巨头以及敏感行业无法使用。英伟达通过推出“权重开源、允许私有化部署”的 Nemotron 模型，与 Palantir、DataRobot 等企业软件巨头深度合作。这种在完全隔离、安全的本地环境下运行的大模型，能够完美切入公有云巨头吃不到的政企高利润市场。\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">正如微软做 Surface 电脑是为了给 Windows 阵营打样，英伟达自己训练大模型是为了向全球企业证明“在 Hopper 和 Blackwell 芯片上，大模型的性能和成本可以优化到多么极致”。以最新的 Nemotron 3 Ultra 为例，英伟达联合 LangChain 证明了其推理成本比市面上的闭源大模型便宜了将近 10 倍。\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">在通用语言模型之外，英伟达还深度布局了 Cosmos(世界模型)、GR00T(机器人大模型) 等。这类模型能模拟真实的物理世界和力学反应，是自动驾驶、人形机器人、智慧工厂数字孪生(Omniverse)不可或缺的大脑。在这类工业级硬核AI赛道上，传统的互联网大模型公司并不擅长，而这正是英伟达芯片消耗最大的未来温床。\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> 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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\" 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":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"]