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NVIDIA与微软发布RTX Spark及DGX Station for

NVIDIA, Microsoft Kick Off a New Beginning for Windows PCs With RTX Spark and AI Agents

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NVIDIA与微软深度绑定,通过RTX Spark和DGX Station打通Windows本地AI算力闭环,对开发者部署本地Agent有直接硬件影响,值得关注。

At a Microsoft event in San Francisco on Wednesday, Jensen Huang and Satya Nadella outlined how NVIDIA and Microsoft are co-engineering hardware and software for AI agents to run on Windows PCs.

在周三于旧金山举行的一场微软活动中,黄仁勋和萨提亚·纳德拉概述了英伟达与微软如何共同研发硬件和软件,以便 AI 智能体在 Windows PC 上运行。

NVIDIA was founded because of Windows, Huang said. Now AI agents are coming to Windows.

黄仁勋表示,英伟达的创立源于 Windows。如今,AI 智能体正走向 Windows。

“If you look at the entire journey of our company, Windows was at the core of it,” Huang said, tracing back NVIDIA’s support for Windows and Microsoft over several decades. “If not for Windows there would be no GeForce.”

“纵观我们公司的整个发展历程,Windows 始终处于核心地位,”黄仁勋追溯了英伟达数十年来对 Windows 和微软的支持。“如果没有 Windows,就不会有 GeForce。”

NVIDIA founder and CEO Jensen Huang connected that history — and his long-term vision — to the agentic era Wednesday during a fireside chat with Microsoft CEO Satya Nadella hosted by Sriram Krishnan, a former senior White House policy advisor on AI at the Windows AI and Surface event, held at Dogpatch Studios in San Francisco.

英伟达创始人兼首席执行官黄仁勋将这段历史及其长期愿景与智能体时代联系起来。周三,在旧金山 Dogpatch Studios 举办的 Windows AI 和 Surface 活动上,前白宫高级 AI 政策顾问、现任微软高管 Sriram Krishnan 主持了一场黄仁勋与微软首席执行官萨提亚·纳德拉的对谈。

“The thing that I really give Jensen all the credit for, quite frankly, is that consistency of vision of what this can be—not today, not tomorrow, but as a secular trend,” Nadella said. “And that’s what brings us to this moment.”

“坦白说,我非常钦佩黄仁勋的一点是,他对这一事物未来形态的愿景始终保持一致——不是今天,也不是明天,而是作为一种长期趋势,”纳德拉表示。“正是这一点将我们带到了此刻。”

“The personal computer is the ultimate tool, it’s my ultimate tool, and for a whole generation of people, it’s our ultimate tool,” Huang said. “What happens in the era of agents, when the agent is on your computer? It is now your personal assistant.”

“个人电脑是终极工具,是我的终极工具,对于整整一代人来说,它也是我们的终极工具,”黄仁勋说。“当智能体出现在你的电脑上时,在智能体时代会发生什么?它现在就是你的私人助理。”

The event opened with Nadella before Pavan Davuluri, Microsoft’s EVP of Windows and Devices, walked through the Windows updates designed for the agentic era.

活动伊始,纳德拉登台,随后微软 Windows 和设备执行副总裁 Pavan Davuluri 介绍了为智能体时代设计的 Windows 更新。

Turning Windows into a secure platform for agents, Microsoft announced general availability of Microsoft Execution Containers (MXC), the OS-level infrastructure that lets agents run safely and persistently in the background, under operating system control.

将 Windows 打造为智能体的安全平台,微软宣布 Microsoft Execution Containers (MXC) 正式全面可用。MXC 是操作系统级别的基础设施,允许智能体在操作系统控制下安全、持久地在后台运行。

“We are building these primitives directly into Windows, so agents can be secured, observed and governed,” Davuluri explained. “With MXC, Microsoft Security, and Agent 365, we’re unlocking the full potential of agents on Windows.”

“我们正在将这些基础组件直接构建到 Windows 中,从而使智能体能够被保护、监控和管理,”Davuluri 解释道。“借助 MXC、Microsoft Security 和 Agent 365,我们正在释放 Windows 上智能体的全部潜力。”

Nadella returned to that theme in his talk with Huang. “We needed to make the desktop the most secure place for agents to execute,” Nadella said.

纳德拉在与黄仁勋的对话中再次强调了这一主题。“我们需要让桌面成为智能体执行最安全的地方,”纳德拉说。

“What Satya just said is going to be the foundation of the next generation of IT as we know it,” Huang said. “Just as Windows and DirectX revolutionized how applications were built, MXC is going to revolutionize how agents are built and deployed.”

“萨提亚刚才所说的将成为我们所熟知的下一代 IT 的基础,”黄仁勋表示。“正如 Windows 和 DirectX 彻底改变了应用程序的开发方式,MXC 也将彻底改变智能体的开发和部署方式。”

A New Beginning for Windows PCs: Preorder RTX Spark Laptops Today

Windows PC 的新起点:今日预订 RTX Spark 笔记本电脑

Among the announcements Huang and Nadella outlined Wednesday, RTX Spark puts the full NVIDIA AI stack into Windows laptops and compact desktops, with laptop preorders open today and available October 16. Compact desktops will be available for sale in November.

在黄仁勋和纳德拉周三概述的宣布中,RTX Spark 将完整的 NVIDIA AI 堆栈引入 Windows 笔记本电脑和紧凑型台式机,笔记本预购今日开放,10月16日上市。紧凑型台式机将于11月开售。

Windows is bringing local AI closer to everyday work, while new hardware gives developers room to run increasingly capable models right on their PC. Introducing Surface Laptop Ultra, Pavan Davuluri tied that vision to NVIDIA RTX Spark.

Windows 正将本地 AI 带向日常办公,而新硬件则为开发者提供了在其 PC 上运行能力日益增强的模型的空间。随着 Surface Laptop Ultra 的发布,Pavan Davuluri 将该愿景与 NVIDIA RTX Spark 联系起来。

“We built Surface Laptop Ultra around NVIDIA RTX Spark. With up to 128 gigs of unified memory and up to a petaflop of AI compute, you can run models on this laptop that simply don’t fit on a traditional machine,” Davuluri said.

“我们围绕 NVIDIA RTX Spark 构建了 Surface Laptop Ultra。凭借高达 128GB 的统一内存和高达 1 petaflop 的 AI 算力,你可以在这台笔记本上运行那些在传统机器上根本无法运行的模型,”Davuluri 说。

Systems are coming from Acer, ASUS, Dell, HP, Lenovo, Microsoft, MSI and Gigabyte with designs ranging from slim laptops to compact desktops built for always-on agents.

系统将由宏碁、华硕、戴尔、惠普、联想、微软、微星和技嘉提供,设计涵盖从轻薄笔记本到专为全天候智能体打造的紧凑型台式机。

RTX Spark combines an NVIDIA Blackwell RTX GPU with up to 6,144 cores, and an up to 20-core NVIDIA Grace CPU connected at 600 GB/s.

RTX Spark 将 NVIDIA Blackwell RTX GPU(最多拥有 6,144 个核心)与最多 20 核心的 NVIDIA Grace CPU 相结合,两者以 600 GB/s 的速度连接。

One petaflop of FP4 AI performance and up to 128GB unified memory makes RTX Spark effective for local AI. It can run models such as Qwen 3.8 Flash Next, a 125B model with 51B n-gram that matches the intelligence of many cloud models, unmetered and without sending data to the cloud.

1 petaflop 的 FP4 AI 性能和高达 128GB 的统一内存使 RTX Spark 成为本地 AI 的高效选择。它可以运行诸如 Qwen 3.8 Flash Next 这样的模型,这是一个拥有 51B n-gram 的 125B 参数模型,其智能水平可与许多云模型相媲美,且无需计量费用,也无需将数据发送到云端。

RTX Spark runs the full NVIDIA CUDA platform — the same software stack that runs across NVIDIA hardware — and is built for every way people use a PC:

RTX Spark 运行完整的 NVIDIA CUDA 平台——即在 NVIDIA 硬件上运行的相同软件堆栈——并适应人们使用 PC 的各种方式:

  • Developers can move models, tools and workflows without rewriting, running the same NVIDIA AI stack from RTX Spark to DGX Station.
  • Creators get 5th-generation Tensor Cores with NVFP4 support, hardware-accelerated AV1, and 4:2:2 video encode and decode, DLSS and RTX ray tracing across the full production pipeline.
  • Gamers can run AAA games at 1440p over 100 frames per second with DLSS 5, Reflex and G-SYNC.
  • 开发者可以无需重写代码即可迁移模型、工具和流程,从 RTX Spark 到 DGX Station 运行相同的 NVIDIA AI 堆栈。
  • 创作者可获得第五代 Tensor Cores(支持 NVFP4)、硬件加速的 AV1 编解码、4:2:2 视频编码和解码,以及贯穿整个生产流程的 DLSS 和 RTX 光线追踪。
  • 游戏玩家可以使用 DLSS 5、Reflex 和 G-SYNC 在 1440p 分辨率下以每秒超过 100 帧的速度运行 AAA 级游戏。

The compact desktop configuration puts the same RTX Spark superchip in a small chassis designed for 24/7 operation — a dedicated local AI system that keeps agents running continuously. Preorder RTX Spark today.

紧凑型台式机配置将相同的 RTX Spark 超级芯片置于一个专为 24/7 运行设计的小型机箱中——这是一个专用的本地 AI 系统,可确保持续运行智能体。立即预购 RTX Spark。

NVIDIA DGX Station for Windows: Frontier AI Compute on the Enterprise Desktop

面向 Windows 的 NVIDIA DGX Station:企业台式机的前沿 AI 算力

The event previewed NVIDIA DGX Station for Windows today — the first deskside AI supercomputer to bring GB300 Grace Blackwell-class AI infrastructure directly into the Windows ecosystem.

本次活动今天预览了面向 Windows 的 NVIDIA DGX Station——这是第一台将 GB300 Grace Blackwell 级 AI 基础设施直接带入 Windows 生态系统的桌面式 AI 超级计算机。

“This unlocks the power to run frontier-class models locally,” Davuluri said. “Capabilities that once required renting a cluster, now in a deskside supercomputer.”

“这解锁了在本地运行前沿级模型的能力,”Davuluri 说。“曾经需要租用集群才能具备的能力,现在在一台桌面式超级计算机中即可实现。”

Until now, DGX Station ran on Linux — which meant enterprise developers maintained two separate environments: Linux for heavy AI workloads and Windows for the productivity tools, applications and workflows.

迄今为止,DGX Station 运行在 Linux 上——这意味着企业开发人员需要维护两个独立的环境:用于处理重型 AI 工作负载的 Linux,以及用于生产力工具、应用程序和工作流的 Windows。

The vast majority of Fortune 500 companies are standardized on Windows, and that gap has cost developers time and resources — developers either moved to Linux to access AI compute, or stayed in Windows with limited hardware options for heavy-duty model development and multi-agent workloads.

绝大多数《财富》500 强企业都标准化使用 Windows,而这一差距导致开发人员耗费了时间和资源——开发人员要么迁移到 Linux 以获取 AI 算力,要么留在 Windows 上,但面临重型模型开发和多智能体工作负载硬件选择有限的困境。

NVIDIA DGX Station for Windows runs on the GB300 Grace Blackwell Ultra Desktop Superchip, delivering 748GB of coherent memory and up to 20 petaFLOPS of FP4 AI compute — enough to run models up to a trillion-parameter scale locally.

NVIDIA DGX Station for Windows 基于 GB300 Grace Blackwell Ultra Desktop Superchip 运行,提供 748GB 一致内存和高达 20 petaFLOPS 的 FP4 AI 算力——足以在本地运行参数规模达万亿级的模型。

Teams of developers and researchers at AI-native companies, leading research labs and enterprises can build and run always-on AI agents that connect directly to the Windows applications and infrastructure they already use, and fine-tune and inference large models without leaving their primary machine. Linux AI toolchains remain accessible through WSL when needed.

AI 原生公司、顶尖研究实验室和企业中的开发人员和研究人员团队可以构建并运行始终在线的 AI 智能体,这些智能体可直接连接到他们已使用的 Windows 应用程序和基础设施,并在不离开主机的情况下对大型模型进行微调与推理。在需要时,仍可通过 WSL 访问 Linux AI 工具链。

Learn more about NVIDIA DGX Station for Windows and sign up to be the first to know when it’s available.

了解更多关于 NVIDIA DGX Station for Windows 的信息,并注册以第一时间获知产品上市消息。

Follow NVIDIA RTX Spark on X, Instagram, TikTok and Facebook — and stay informed by subscribing to the NVIDIA Local AI newsletter. Follow NVIDIA Workstation on LinkedIn and X.

在 X、Instagram、TikTok 和 Facebook 上关注 NVIDIA RTX Spark——并通过订阅 NVIDIA Local AI 通讯保持知情。在 LinkedIn 和 X 上关注 NVIDIA Workstation。

See notice regarding software product information.

请参阅有关软件产品信息的通知。

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