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NVIDIA AI Blog

Tier A技术博客ENrss2026-10-10

NVIDIA 官方 AI 技术博客,覆盖 GPU 推理优化、训练基础设施、CUDA 生态演进、大模型部署与加速等硬件与工程前沿,是 AI 算力层最重要的信息源。

GPUinferencetrainingCUDAH100+4
https://blogs.nvidia.com/feed/
29 篇文章5 篇深度分析24 篇待处理生成于 2026-10-10 09:30 UTC

文章列表

29 篇2000-01-01 ~ 2026-10-14
Analyzed·分析blogs.nvidia.com2026-10-08

Into the Omniverse: How Developers Turn Ideas Into Simulations With Frontier AI Agents

NVIDIA 发文展示开发者如何用前沿 AI 模型(如 GPT-6 Astra)结合 NVIDIA Omniverse 库,通过自然语言指令构建仿真应用,覆盖仿人机器人、自动驾驶测试与数字孪生等场景。

NVIDIA 在其官方博客中介绍,开发者正将前沿 AI 模型与 NVIDIA Omniverse 库结合,通过自然语言指令指挥 AI 智能体组装资产、连接物理与渲染并验证场景行为。NVIDIA 产品经理 Frank DeLise 用 Astra 将 SimReady 仓库与仿人机器人转化为具备第一/第三人称视角的交互式仿真器。NVIDIA 仿真技术团队经理 Doyub Kim 用 Astra 构建了基于旧金山 Market Street 的可复用仿真环境 Zero to Alpamayo,并另用 Cosmos3-Nano 实验改变天气与光照以对比驾驶模型反应。文章还提到通过比较录制与仿真的摄像头和激光雷达输出来改进数字孪生。

应用落地◆ 持续监测▲积极
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Analyzed·分析blogs.nvidia.com2026-10-07

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

在旧金山微软 Windows AI 与 Surface 活动上,NVIDIA 与微软宣布联合为 Windows PC 上的 AI 智能体协同设计软硬件,微软宣布操作系统级智能体运行容器 MXC 正式可用,并推出搭载完整 NVIDIA AI 技术栈的 RTX Spark 笔记本与紧凑台式机。

周三在旧金山 Dogpatch Studios 举行的微软 Windows AI 与 Surface 活动上,NVIDIA CEO Jensen Huang 与微软 CEO Satya Nadella 由前白宫高级 AI 政策顾问 Sriram Krishnan 主持进行炉边对谈,阐述两家公司如何为在 Windows PC 上运行的 AI 智能体协同设计硬件与软件。微软 Windows 与设备部门执行副总裁 Pavan Davuluri 介绍了面向智能体时代的 Windows 更新,并宣布操作系统级基础设施 Microsoft Execution Containers(MXC)正式可用,用于让智能体在操作系统管控下安全、持久地在后台运行。NVIDIA 同时宣布 RTX Spark,将完整 NVIDIA AI 技术栈引入 Windows 笔记本与紧凑型台式机,笔记本当日开启预售并将于 10 月 16 日上市,紧凑型台式机 11 月开售,微软也发布了 Surface Laptop Ultra。

应用落地◆ 持续监测⇅混合
6.0查看详情
Scout·清单blogs.nvidia.com2026-10-06

Why Telecom Operators Are Building Their AI Strategy on Open Models

Telecom operators are increasingly building their AI strategies on open models — and the reasons go beyond mere cost. Open models give telcos the ability to trust, control and customize AI across their most critical workloads — from autonomous networks to customer care. NVIDIA’s latest State of AI in Telecommunications report reflects this shift, with […]

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Analyzed·分析blogs.nvidia.com2026-10-05

From Scan to Treatment Plan, AI Helps Close Breast Cancer’s Deadliest Gaps

NVIDIA 撰文介绍其 Inception 创业计划成员在乳腺癌诊疗各环节的 AI 应用。以 iSono Health 的 FDA 认证 ATUSA 可穿戴自动 3D 超声平台为代表,该产品约两分钟即可完成单侧乳房扫描,并称灵敏度比手持 2D 超声高 28%。

NVIDIA 于其官方博客发文,介绍参与 NVIDIA Inception 创业计划的多家初创公司如何在美国乳腺癌诊疗链条上部署 AI 应用,覆盖影像筛查、风险评估与治疗方案制定。文章指出,美国每年约开展 4000 万次乳腺 X 光检查,而未来十年预计短缺数万名放射科医生,且指导治疗的基因组检测常需数周才能出结果。作为重点案例,iSono Health 的 FDA 认证平台 ATUSA 采用可穿戴自动化 3D 定量超声,借助 NVIDIA GPU 加速,约两分钟完成单侧乳房扫描,公司称其灵敏度比手持 2D 超声高 28%。

应用落地◆ 持续监测▲积极
3.5查看详情
Scout·清单blogs.nvidia.com2026-10-02

NVIDIA DGX Spark 64GB Gives Developers More Ways to Build and Scale Local AI

Local AI is becoming more useful by the token. As AI agents move from experiments into everyday development, increasingly capable open models are shrinking to fit on more devices, giving builders more to run locally. Coming this month, NVIDIA DGX Spark will be available with 64GB of unified memory from top manufacturer partners — Acer, […]

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Scout·清单blogs.nvidia.com2026-10-01

How NVIDIA GPUs Help Accelerate OpenAI’s GPT-6 Astra Ultrafast

GPT-6 Astra Ultrafast, running on NVIDIA Blackwell GPUs, is available now in the OpenAI API and to eligible ChatGPT Work and Codex users. Accelerated by inference optimizations through OpenAI’s models that tap into the capabilities of the NVIDIA Blackwell architecture, Ultrafast offers up to 8x faster token generation than the Astra Standard mode. For developers, […]

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Scout·清单blogs.nvidia.com2026-10-01

Productive, Durable, Fungible: How NVIDIA AI Factories Maximize Return on Investment

AI factories are built by the megawatt, even by the gigawatt. Each megawatt factory costs roughly $60 million, and AI factory operators will only commit capital on that scale with a clear view of the return on investment. Three key things shape AI factory returns: Earning capacity: What the factory could earn in a year […]

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Scout·清单blogs.nvidia.com2026-09-30

From Training to Production, NVIDIA and CoreWeave Close the Loop on Agentic AI

Building on nearly a decade of co-engineering, CoreWeave has built NVIDIA compute, networking and software into a cloud purpose-built for AI that’s still returning on investment across multiple generations of deployment. Now, CoreWeave is bringing the next generation of NVIDIA infrastructure to production. At CoreWeave Fully Connected, running this week in San Francisco, CoreWeave announced […]

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Scout·清单blogs.nvidia.com2026-09-23

At AI Day Singapore, NVIDIA and Partners Showcase AI Advancements Across Southeast Asia

NVIDIA AI Day Singapore, which takes place Sept. 22-23 at the Raffles City Convention Centre, is offering attendees opportunities to explore the hands-on training, expert-led sessions and advanced tools to accelerate their work in AI and high-performance computing. At the event, NVIDIA and its partners are showcasing breakthrough AI advancements across the Southeast Asia region […]

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Scout·清单blogs.nvidia.com2026-09-22

NVIDIA Isaac ROS 5.0 Advances Agentic, Open Source Robotics Development

To build and deploy sophisticated robotics applications that can perceive, reason and act in dynamic environments, developers need new physical AI models and tools. The ROS open framework is a project from Open Robotics that helps humans build robots. NVIDIA Isaac ROS 5.0 — a collection of GPU-accelerated packages built on ROS, released today at […]

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Scout·清单blogs.nvidia.com2026-09-21

NVIDIA Launches DSX Ready to Qualify Power and Cooling Products for AI Factories

Every AI factory needs power and cooling that fit its computing architecture. As AI infrastructure expands, power, cooling, water, site and grid constraints are shaping what builders can deploy. Choosing products that fit the complete factory design helps builders turn computing capacity into useful AI output. To help builders make those decisions, NVIDIA is introducing […]

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Scout·清单blogs.nvidia.com2026-09-21

Why Deploying Physical AI at Scale Demands Safety at Every Layer

Physical AI is moving rapidly from research to large-scale deployment. By 2035, ABI Research projects an installed base of 49 million level 3-5 autonomous vehicles (AVs), while Omdia estimates that roughly 60 million industrial robots will be deployed between 2026 and 2035. As these machines enter roads, factories, warehouses and other environments shared with people, […]

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Scout·清单blogs.nvidia.com2026-09-21

From Enablement to Execution, Egypt’s AI Ecosystem Reaches Production Scale

Today, Egypt’s AI builders gathered in the Grand Egyptian Museum for a reception that highlighted the nation’s rapidly growing AI ecosystem — spanning AI natives, developers, researchers, startups and enterprises — building applications across industries. The event included a keynote from Paolo Guglielmini, vice president of EMEA at NVIDIA. Ahmed Mostafa, regional AI adoption lead […]

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Scout·清单blogs.nvidia.com2026-09-21

AI Security Is an Engineering Problem — How to Solve It at Every Layer of the Agent Stack

AI security is an engineering problem. That means defined security requirements, enforceable controls, named owners and evidence that protections work. As AI becomes more capable, the industry must accelerate security engineering, broaden access to defensive tools and share what works faster. Technology Changes, Security Fundamentals Endure The internet and cloud computing changed how software operates, […]

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Scout·清单blogs.nvidia.com2026-09-21

5 Companies Using NVIDIA AI for Clean Energy

Clean energy isn’t hard to come by, but the pace of large-scale adoption has historically been slow due to bottlenecks — including out-of-date infrastructure, elongated research and development timelines, and upfront cost barriers. At New York Climate Week, NVIDIA is highlighting five companies pioneering clean energy projects with AI baked into their foundation, accelerating research-to-inception […]

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Scout·清单blogs.nvidia.com2026-09-16

NVIDIA Vera Rubin NVL72 Delivers Leading Performance in MLPerf Inference v6.1 Debut

System performance, efficient infrastructure scaling and continuous software optimization are key levers that determine AI inference economics. Higher system performance means more tokens generated, resulting in higher revenue. Efficient scaling means throughput grows proportionally as hardware gets added, requiring fewer resources to serve users at scale. Continuous optimization means generating more value from infrastructure investments. […]

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Scout·清单blogs.nvidia.com2026-09-16

Emerald AI, Google and NVIDIA Launch Alliance to Advance Flexible AI Data Centers

AI factories are the infrastructure of the intelligence era. Scaling them responsibly will depend as much on innovation across the grid as inside the data center. Today, Emerald AI, Google and NVIDIA announced the launch of the AI Energy Management Alliance (AEMA), a first-of-its-kind coalition advancing data centers that can dynamically manage their electricity use […]

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Scout·清单blogs.nvidia.com2026-09-16

University of Manchester Uses NVIDIA Earth-2 to Forecast Air Pollution Across the UK

Air pollution is a serious public health risk, contributing to an estimated 30,000 deaths in the U.K. alone last year. Data-driven insights can help — but computing air quality with traditional chemistry-based models is expensive, which limits how detailed they can be and how regularly they can be run. David Topping, a professor in the […]

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Scout·清单blogs.nvidia.com2026-09-15

‘Now We Can Know Everything and Do Anything,’ Jensen Huang Says at Dreamforce

Know everything. Do anything. That was the message NVIDIA founder and CEO Jensen Huang brought to Salesforce Dreamforce Tuesday, joining CEO Marc Benioff onstage in an appearance that coincided with the announcement of Koa — Salesforce’s first CRM reasoning model, built on NVIDIA Nemotron 3 Super. Huang didn’t just take the stage. He walked into […]

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Scout·清单blogs.nvidia.com2026-09-15

From Megawatts to Tokens: How NVIDIA Maximizes AI Factory Production

On a sweltering August evening in Silicon Valley, as the sun dropped and air conditioning loads spiked, Silicon Valley Power sent a signal to an AI factory to adjust its power consumption. Varun Sivaram was watching on Zoom with about forty others — his team at Emerald AI in their San Francisco conference room, engineers […]

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