--- 格式版本: 2 标题: "NVIDIA GTC 2026 工业 AI 和制造业会议" 原文链接: "https://www.nvidia.cn/gtc/sessions/industrial-ai-and-manufacturing/" 发布日期: "2026-09-02" 发布时间校准状态: "found" 发布时间需复核: "否" 发布时间来源: "rule:local:strict_original_body" 发布时间证据: "Published Time: Wed, 02 Sep 2026 16:26:06 GMT" 发布时间校准原因: "规则确认唯一严格发布时间，来源 local:strict_original_body" 发布时间校准置信度: "high" 发布时间候选数量: 4 发布时间严格候选数量: 1 发布时间原页读取状态: "source template page reused from URL open" 发布时间未找到原因: "" 发布时间校准时间: "2026-09-03T00:26:56+08:00" 发布时间仲裁状态: "skipped" 发布时间仲裁尝试次数: 0 发布时间仲裁耗时毫秒: 0 发现时间: "2026-09-03T00:22:10+08:00" 入库时间: "2026-09-02T16:26:56.704Z" 来源平台: "固定入口" 搜索渠道: "fixed_url" 搜索词: "https://www.nvidia.cn/gtc/" 匹配关键词: - "AI" - "交付" - "部署" - "deployment" - "性能" - "performance" - "GPU" - "计算" 相关厂家: - "NVIDIA" - "Microsoft" - "Hon Hai" - "Foxconn" 相关专家: [] 内容类型: "网页" 抓取工具: "Jina Reader" 清洗工具: "Jina Reader Markdown + Defuddle/Readability 正文提取" 原始附件: [] AI优质: "否" AI打分: 38 AI分档: "非优质" AI质检状态: "不通过" AI打分理由: "正文主线是NVIDIA官方GTC工业AI与制造业会议议程，重点为数字孪生、机器人、仿真及制造应用，并非超节点或机架级AI基础设施。虽有单场议程提及AI工厂的芯片到电网设计、供电与冷却，以及富士康得州AI服务器工厂，但仅为会议摘要，未给出新机架拓扑、关键规格、生产级指标或明确量产交付里程碑。历史证据已出现富士康AI工厂及NVIDIA机架系统相关动作，当前页未提供可核验的机架级新增。页面来源为NVIDIA官方且议程信息较完整，但自身只是会议汇总页，命中会议综述/厂商宣传强否决项，无明确高价值准入通道。" AI质检模型: "gpt-5.6-sol" AI质检时间: "2026-09-08T16:42:09+08:00" AI主题相关性: 5 AI来源权威性: 14 AI新颖性: 4 AI技术细节: 5 AI商业部署信号: 3 AI完整性: 7 AI评分提示词版本: "v17-精简生产版" AI评分提示词SHA256: "48fb9777f386026761b4873eaff30807694fb11e9b352d7c69bf2dfde750cc7d" AI评分知识库版本: "knowledge_base_v1-20260819+runtime.91" AI评分知识库SHA256: "63412978a77e0c992a0c417bf6a25f0ef83df5c342c2a67607a122c0f8bd250e" AI评分知识库检索词: "[\"NVIDIA\",\"Microsoft\",\"Hon Hai\",\"Foxconn\",\"交付\",\"deployment\",\"性能\",\"performance\",\"GPU\",\"计算\",\"https://www.nvidia.cn/gtc/\",\"RAS\"]" AI评分知识库命中: "[{\"id\":\"historical-jun-067\",\"title\":\"鸿海与Bull推进NVIDIA Vera Rubin NVL72在欧洲的整机柜量产与交付\",\"sourceType\":\"curated_item\",\"time\":\"2026-06\",\"matchedTerms\":[\"NVIDIA\",\"Hon Hai\",\"Foxconn\",\"交付\",\"RAS\"],\"rank\":-16.638820274915854},{\"id\":\"july-correct-0002\",\"title\":\"燧原科技在WAIC展出高性能超节点，六大优势提升部署效率 - 智东西\",\"sourceType\":\"labeled_article\",\"time\":\"2026-07\",\"matchedTerms\":[\"交付\",\"性能\",\"计算\"],\"rank\":-11.381196413737747},{\"id\":\"runtime-0fa5f6513e1d75f79b9b89e6\",\"title\":\"https://www.datacenterknowledge.com/ai-data-centers/ai-rack-density-s-real-limits-power-cooling-failure-risk\",\"sourceType\":\"ai_excellent_article\",\"time\":\"2026-08-28\",\"matchedTerms\":[\"NVIDIA\",\"Microsoft\",\"Foxconn\",\"deployment\",\"performance\",\"GPU\",\"RAS\"],\"rank\":-11.012240255916662},{\"id\":\"july-correct-0005\",\"title\":\"1792TOPS算力！国产AI芯片暴降token成本，CEO揭秘4大技术诀窍 - 智东西\",\"sourceType\":\"labeled_article\",\"time\":\"2026-07\",\"matchedTerms\":[\"交付\",\"性能\",\"GPU\",\"计算\"],\"rank\":-10.870522629242167},{\"id\":\"july-correct-0104\",\"title\":\"NVIDIA Vera Rubin 提升每瓦性能，为全球合作伙伴实现最低 Token 成本\",\"sourceType\":\"labeled_article\",\"time\":\"2026-07\",\"matchedTerms\":[\"NVIDIA\",\"Microsoft\",\"性能\",\"GPU\",\"计算\",\"RAS\"],\"rank\":-10.615538481917088}]" 采集批次: "2026年9月3日0点11分17秒" 采集批次ID: "20260903-001117-932" 去重键: "https://www.nvidia.cn/gtc/sessions/industrial-ai-and-manufacturing" --- Title: NVIDIA GTC 2026 工业 AI 和制造业会议 URL Source: https://www.nvidia.cn/gtc/sessions/industrial-ai-and-manufacturing/ Published Time: Wed, 02 Sep 2026 16:26:06 GMT Markdown Content: Visit your regional NVIDIA website for local content, pricing, and where to buy partners specific to your country. 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工业 AI 和制造业会议 探索专为工业和制造业领域开发者、技术从业人员和企业领导者打造的会议。了解如何利用 AI 和加速计算优化流程、降低风险和削减成本，学习如何借助 AI Agent、数字孪生、机器人等物理 AI 和工业 AI 技术，从设计到交付构建未来工厂。 [查看更多工业 AI 和制造业会议](https://www.nvidia.cn/gtc/session-catalog/?industries=Manufacturing) ![Image 2](https://www.nvidia.cn/content/nvidiaGDC/cn/zh_CN/gtc/sessions/industrial-ai-and-manufacturing/_jcr_content/root/responsivegrid/nv_container/nv_container_temp3/nv_image.coreimg.100.410.png/1771924385209/gtc26-simulation-modeling-design-apollo-factory-auto-ignite.png) ![Image 3](https://www.nvidia.cn/content/nvidiaGDC/cn/zh_CN/gtc/sessions/industrial-ai-and-manufacturing/_jcr_content/root/responsivegrid/nv_container/nv_container_temp3/nv_image_one.coreimg.100.190.png/1771924385336/gtc26-manufacturing-builider-clay-to-render-10-1770350398-39.png) ![Image 4](https://www.nvidia.cn/content/nvidiaGDC/cn/zh_CN/gtc/sessions/industrial-ai-and-manufacturing/_jcr_content/root/responsivegrid/nv_container/nv_container_temp3/nv_image_two.coreimg.100.190.png/1769124235350/gtc26-simulation-modeling-design-clay-to-render-credit-sieme.png) 右下: Siemens, HD Hyundai ## 精选会议 Watch Party ## **Watch Party: Building the Future of Manufacturing [WP81573a]** **Rev Lebaredian** | VP of Omniverse and Simulation Technology | NVIDIA **Zhaopeng Chen** | CEO and Founder | Agile Robots **Rainer Brehm** | COO of Automation Business and CTO of Digital Industries | Siemens **Marc Segura** | President | ABB Robotics **Roslyn Stuart** | VP of Synergy Creation | Hitachi Digital **Seungyong Doh** | EVP, Head of Digital Transformation | SK hynix GTC Watch Party 是由 NVIDIA 本地专家主持，以中文讲解，带领参与者同步观看某一精选演讲并解读和实时答疑的会议形式。这是一个互动式的会议，我们鼓励您在聊天区参与讨论，提出见解或问题。但请注意，原始演讲者可能不会出席本会议。 会议主持人： **Alan Zhang**, AI Enterprise BD, NVIDIA The manufacturing industry is entering a new era, driven by AI, robotics, and simulation. Join distinguished leaders from the semiconductor and electronics, industrial and process manufacturing, and robotics industries as they share their pioneering use cases and how these technologies enable them to innovate, reimagine production systems, and transform the design and operation of advanced manufacturing and warehouse facilities. * Discover how manufacturing leaders are applying AI, robotics, and simulation to accelerate innovation and efficiency. * Learn how these technologies are reshaping the design, planning, and operation of next-generation manufacturing facilities. * Explore pioneering real-world use cases that demonstrate the power of intelligent automation and industrial digitalization in driving innovation and resilience. * Understand the critical role of AI infrastructure in enabling smarter and more sustainable manufacturing. 在会议开始时间前 15 分钟，**_登录状态下_**，下方会出现一个【**Join Watch Party Now**】的链接。点击该链接，可以在您的电脑上或从您的网络浏览器中启动 Microsoft Teams 参加会议。 [Add to Schedule (opens in a new tab)](https://register.nvidia.cn/flow/nvidia/gtc26/apcn/page/catalogv/session/1772502990054001q1Jd)**Monday Mar 23 | 6:00 AM - 7:30 AM GMT** **[显示更多](https://www.nvidia.cn/gtc/sessions/industrial-ai-and-manufacturing/)** Panel On-Demand ## **Building the Future of Manufacturing [S81573]** **Rev Lebaredian** | VP of Omniverse and Simulation Technology | NVIDIA **Seungyong Doh** | EVP, Head of Digital Transformation | SK hynix **Zhaopeng Chen** | CEO and Founder | Agile Robots **Rainer Brehm** | COO of Automation Business and CTO of Digital Industries | Siemens **Marc Segura** | President | ABB Robotics **Roslyn Stuart** | VP of Synergy Creation | Hitachi Digital The manufacturing industry is entering a new era, driven by AI, robotics, and simulation. Join distinguished leaders from the semiconductor and electronics, industrial and process manufacturing, and robotics industries as they share their pioneering use cases and how these technologies enable them to innovate, reimagine production systems, and transform the design and operation of advanced manufacturing and warehouse facilities. [Add to Schedule (opens in a new tab)](https://register.nvidia.cn/flow/nvidia/gtc26/apcn/page/catalogv/session/1764814786012001rwOF)**Tuesday Mar 17 | 6:00 PM - 7:00 PM GMT** **[显示更多](https://www.nvidia.cn/gtc/sessions/industrial-ai-and-manufacturing/)** Talk On-Demand ## **Accelerate the Physical AI Era With Digital Twins and Real-Time Simulation [S81598]** **Rev Lebaredian** | VP of Omniverse and Simulation Technology | NVIDIA Join Rev Lebaredian, NVIDIA’s VP of Omniverse and simulation technology, as he shares how autonomous, OpenClaw-based agents, digital twins and real-time simulation—powered by OpenUSD and NVIDIA’s accelerated computing platform, libraries, and ecosystem—are accelerating breakthroughs across industries in the era of physical AI. Discover their impact on everything from product design and manufacturing to robotics, autonomous vehicles, smart cities, climate science, and space exploration. [Add to Schedule (opens in a new tab)](https://register.nvidia.cn/flow/nvidia/gtc26/apcn/page/catalogv/session/1764890417617001sMfV)**Tuesday Mar 17 | 5:00 PM - 5:50 PM GMT** **[显示更多](https://www.nvidia.cn/gtc/sessions/industrial-ai-and-manufacturing/)** Theater Talk On-Demand ## **Maximize Tokens-per-Watt With AI Factory Digital Twins, From Chip to Grid (Presented by Siemens) [EX82069]** **Ales Alajbegovic** | Global Program Manager, Industrial Metaverse | Siemens AI factories are becoming mission‑critical, gigawatt‑scale infrastructure that must be engineered as a single, connected system. This session presents a “chip‑to‑grid” workflow focused on two key performance indicators: time‑to‑token and watts‑per‑token. It begins at the silicon layer, where AI‑native, GPU‑accelerated electronic design automation that utilizes Fuse and NVIDIA Nemotron accelerates design cycles. The workflow then extends to the factory, where Siemens Digital Twin Composer with NVIDIA Omniverse enables decision‑grade digital twins across power, cooling, and layout before construction. The session will conclude with an operational reference architecture that improves efficiency, resilience, and uptime. Join us to explore how digital twins redefine AI factory design, construction, and operations—creating a new level of operational excellence. [Add to Schedule (opens in a new tab)](https://register.nvidia.cn/flow/nvidia/gtc26/apcn/page/catalogv/session/1765835150225001M6rV)**Thursday Mar 19 | 12:40 AM - 12:55 AM GMT** **[显示更多](https://www.nvidia.cn/gtc/sessions/industrial-ai-and-manufacturing/)** Talk On-Demand ## **基于 NVIDIA AI Enterprise 全栈赋能：“AI Factory” 重塑智造新标杆 [S82354]** **青 杨** | 人工智能科技研究院副院长 | 海南金盘智能科技股份有限公司 **龙 王** | CEO | 矩阵起源（深圳）信息科技有限公司 金盘科技携手 NVIDIA，针对传统制造业面临的效率瓶颈、数据孤岛及安全管理被动等痛点，构建了软硬一体的“AI 工厂”。依托 NVIDIA AI Enterprise 算力底座，融合 NIM 推理微服务、NeMo Agent Toolkit 智能体编排、VSS 视频分析及 Omniverse/Isaac 数字孪生平台，企业成功落地了多项关键场景。在工厂智能体分析方面，利用 VSS 视觉大模型技术，将工程现场非结构化的监控视频实时转化为结构化数据，主动识别 PPE 穿戴合规性与设备异常，实现从“事后回溯”到“事前预警”的跨越，将使项目安全水平，运营效率大幅提升。此外，通过标书生成智能体、职能数字员工、供应链智能控价等应用，标书制作周期从周级压缩至小时级并辅助中标金额超 10 亿元，效率大幅提升，数字化解决方案对外累计输出斩获超 9 亿元订单，成功打造了制造业从“人力驱动”向“数据与硅基劳动力驱动”转型的行业标杆。 [Add to Schedule (opens in a new tab)](https://register.nvidia.cn/flow/nvidia/gtc26/apcn/page/catalogv/session/1769082269613001a34S)**Monday Mar 16 | 3:00 AM - 3:50 AM GMT** **[显示更多](https://www.nvidia.cn/gtc/sessions/industrial-ai-and-manufacturing/)** Talk On-Demand ## **Accelerating Industrial Engineering: From Product Design to Manufacturing in the AI Supercomputing Era [S82017]** **Neil Ashton** | Distinguished Engineer | NVIDIA **Christoph Meyer** | Chief Program Officer | McLaren Automotive Accelerated computing and AI supercomputing are redefining industrial engineering, spanning computational engineering (CAE) to semiconductor design and manufacturing. Together, these fields drive how the world conceives, simulates, and builds everything from advanced machinery to next-generation chips increasingly in the digital world before physical production begins. In this address, NVIDIA’s Tim Costa, general manager for Industrial and Computational Engineering, will show how CUDA-accelerated platforms, AI physics, DGX and cloud-scale AI infrastructure, and NVIDIA Omniverse are reshaping workflows across computer-aided engineering and semiconductor design and manufacturing. He will demonstrate how customers use GPU-accelerated solvers, AI physics models, and agentic AI to cut turnaround, broaden design exploration, and boost yield and reliability, revealing a unified accelerated-computing blueprint spanning classical, AI, and emerging quantum acceleration. [Add to Schedule (opens in a new tab)](https://register.nvidia.cn/flow/nvidia/gtc26/apcn/page/catalogv/session/1765578678131001J79n)**Monday Mar 16 | 10:00 PM - 10:40 PM GMT** **[显示更多](https://www.nvidia.cn/gtc/sessions/industrial-ai-and-manufacturing/)** Theater Talk On-Demand ## **Reducing the Sim2Real Gap for Industrial Robotics (Presented by Synopsys) [EX82340]** **Rich Goldman** | Strategic Partnerships Director | Synopsys **Philip Sharos** | Principal Engineer, Edge AI | Analog Devices Robotics and physical AI have reached their “ChatGPT” moment. The reliability for industrial use requires precision dexterity, beginning with precision simulation and high sim2real fidelity, where robots learn and reason in simulation before deployment. This session highlights the collaboration between Synopsys and Analog Devices (ADI) to augment the fidelity of simulation environments for dexterity in industrial robotics. The collaboration includes an industry-standard benchmark for tactile manipulation, led by ADI and enabled by Synopsys. [Add to Schedule (opens in a new tab)](https://register.nvidia.cn/flow/nvidia/gtc26/apcn/page/catalogv/session/1769023130902001D9xh)**Monday Mar 16 | 10:00 PM - 10:15 PM GMT** **[显示更多](https://www.nvidia.cn/gtc/sessions/industrial-ai-and-manufacturing/)** Talk On-Demand ## **How Virtual Twins are Shaping the Next Industrial Revolution [S81501]** **Florence Hu-Aubigny** | Executive VP R&D | Dassault Systèmes AI-powered virtual twins, science-validated industry world models, and virtual companions are shaping the next frontier for industries. Learn how Dassault Systèmes’ industry world models, agentic 3DEXPERIENCE platform, and virtual twin technologies—combined with NVIDIA AI infrastructure, open models, and libraries—are establishing new ways of working and transforming biology, materials science, engineering, and manufacturing. [Add to Schedule (opens in a new tab)](https://register.nvidia.cn/flow/nvidia/gtc26/apcn/page/catalogv/session/1764238975556001go7e)**Tuesday Mar 17 | 9:00 PM - 9:40 PM GMT** **[显示更多](https://www.nvidia.cn/gtc/sessions/industrial-ai-and-manufacturing/)** Lightning Talk On-Demand ## **Beyond the Workcell: Scaling Robotics Workflows Across the Factory Floor [S81611]** **Brian Klobucher** | Omniverse Enterprise Partnerships Lead | NVIDIA **Jimmy Nassif** | CTO and Co-Founder | idealworks **Anders Billesø Beck** | VP, AI Robotics Products | Universal Robots **Etienne Lacroix** | Founder and CEO | Vention **Melonee Wise** | Chief Product Officer, Software and AI | KUKA **Justin Johnson** | Co-founder | World Labs Scaling robot automation beyond isolated workcells remains a critical barrier for modern manufacturers, who struggle to coordinate diverse machines in complex, ever-changing production environments. This session explores how leading robotics innovators—IdealWorks, Kuka, Universal Robots, and Vention—are breaking through these silos by integrating NVIDIA Omniverse libraries, open frameworks, and CUDA-accelerated tools. Discover how foundation AI models and simulation are accelerating robot development, streamlining digital twin integration, and enabling seamless coordination between heterogeneous robots across both high-mix/low-volume and scaled production settings. [Add to Schedule (opens in a new tab)](https://register.nvidia.cn/flow/nvidia/gtc26/apcn/page/catalogv/session/1764908506161001hEoz)**Wednesday Mar 18 | 6:00 PM - 7:00 PM GMT** **[显示更多](https://www.nvidia.cn/gtc/sessions/industrial-ai-and-manufacturing/)** Talk On-Demand ## **Building and Scaling AI Factories With Digital Twins and Robotics [S81508]** **Leo Guo** | GM | Hon Hai Technology Group (Foxconn) Foxconn is collaborating with NVIDIA to build an AI factory in Texas for the production of AI servers. Foxconn will leverage NVIDIA Omniverse libraries to build a digital twin environment for simulation and real-time monitoring to rapidly scale up production lines, and will introduce humanoid robots and a high degree of automation for the first time. All these will first be simulated in NVIDIA's environment and optimized in a visual setting to help Foxconn create a safer, more efficient, and more flexible manufacturing environment. It's committed to building this factory into a benchmark plant that can serve as a model for others to follow. [Add to Schedule (opens in a new tab)](https://register.nvidia.cn/flow/nvidia/gtc26/apcn/page/catalogv/session/1764474439539001PSZc)**Monday Mar 16 | 11:00 PM - 11:40 PM GMT** **[显示更多](https://www.nvidia.cn/gtc/sessions/industrial-ai-and-manufacturing/)** Talk On-Demand ## **Accelerate Engineering Simulations with NVIDIA cuDSS [S81824]** **Azi Riahi** | Principal Product Manager | NVIDIA NVIDIA CUDA Direct Sparse Solver (cuDSS) is increasingly being adopted in large-scale simulations for engineering and design, such as those pertinent to electronic engineering automation (EDA) and computer-aided engineering (CAE). In this session, we will cover recent advances, including most recent performance number, highlights of key features, and new APIs in cuDSS that enable users across various workflows to leverage GPU acceleration for sparse solvers. [Add to Schedule (opens in a new tab)](https://register.nvidia.cn/flow/nvidia/gtc26/apcn/page/catalogv/session/1765243256731001HyLu)**Wednesday Mar 18 | 5:00 PM - 5:40 PM GMT** **[显示更多](https://www.nvidia.cn/gtc/sessions/industrial-ai-and-manufacturing/)** 探索 * [大会主题](https://www.nvidia.cn/gtc/conference-topics/) * [海报展示](https://www.nvidia.cn/gtc/posters/) * [演讲嘉宾](https://www.nvidia.cn/gtc/speakers/) * [创业公司和投资机构](https://www.nvidia.cn/gtc/startups/) * [培训和认证](https://www.nvidia.cn/gtc/training/) 发现 * [主题演讲](https://www.nvidia.cn/gtc/keynote/) * [赞助商和参展商](https://www.nvidia.cn/gtc/sponsors/) 更多 * [行为准则](https://www.nvidia.cn/gtc/code-of-conduct/) * [联系我们](https://www.nvidia.cn/gtc/contact/) * [常见问题解答](https://www.nvidia.cn/gtc/faq/) * [隐私政策](https://www.nvidia.cn/about-nvidia/privacy-policy/) * [查看所有 GTC 活动](https://www.nvidia.cn/gtc/events/) 关注 GTC [](https://space.bilibili.com/1320140761/)[](https://www.douyin.com/user/MS4wLjABAAAA-v_JG_5ioC7lMiXoo4bh1nCeK4TEvA1nJxrRZazrByQ)[](http://weibo.com/u/5943087025) ![Image 5](https://www.nvidia.cn/content/dam/en-zz/zh_cn/Solutions/newsroom/wc_qrcode.jpg?v2) 扫描二维码关注 NVIDIA 英伟达微信公众号 [](https://www.nvidia.cn/gtc/sessions/industrial-ai-and-manufacturing/) CHN - 中国 * [隐私声明](https://www.nvidia.cn/about-nvidia/privacy-policy/) * [您的隐私选择](https://www.nvidia.cn/about-nvidia/privacy-center/) * [服务条款](https://www.nvidia.cn/about-nvidia/terms-of-service/) * [无障碍访问](https://www.nvidia.cn/about-nvidia/accessibility/) * [公司政策](https://www.nvidia.cn/about-nvidia/company-policies/) * [产品安全性](https://www.nvidia.com/en-us/security/) * [联系我们](https://www.nvidia.cn/contact/asia/) * [英文网站](https://www.nvidia.com/en-us/) Copyright © 2026 NVIDIA Corporation NVIDIA 及其第三方合作伙伴利用 Cookie 和其他工具收集并记录您提供的信息，以及您与我们网站的互动信息，以提高性能、进行分析并辅助营销工作。点击“全部接受”，即表示您同意我们使用 Cookie 和其他工具，如我们的 [Cookie 政策](https://www.nvidia.cn/about-nvidia/cookie-policy/)中所述。您可以通过点击“管理设置”来管理您的 Cookie 设置。请参阅我们的[隐私政策](https://www.nvidia.cn/about-nvidia/privacy-policy/)，详细了解我们的隐私实践。 我们检测到全球隐私控制 (GPC) 信号，并记录了您拒绝本网站对此浏览器的所有可选 Cookie。您可以通过点击“管理设置”来管理您的 Cookie 设置。请参阅我们的 [Cookie 政策](https://www.nvidia.cn/about-nvidia/cookie-policy/) 以了解更多信息，同时查看问我们的[隐私政策](https://www.nvidia.cn/about-nvidia/privacy-policy/)，以了解我们的隐私实践详情。 管理设置 拒绝可选 Cookie 全部接受 ![Image 7: 公司徽标](https://www.nvidia.cn/assets/cn/onetrust/consent/1984719c-04aa-48de-8c22-5174bdf5c0ed/01917434-8292-70f9-8fae-1602521d0b2a/logos/10ddf4ca-c072-45d0-b3ac-eead0ed93db0/b73a5c09-1e15-4dc7-8722-f9cb6c578110/9a7ca633-555d-4e05-a249-5cd7dc512da5/logo_nvidia.png) Cookie 设置 我们与第三方合作伙伴（包括社交媒体、广告和分析合作伙伴）使用 Cookie 和其他追踪技术，在您访问我们的网站时收集、存储、监控并处理您的某些相关信息。收集的信息可能与您、您的偏好或您的设备有关。我们使用这些信息来保障网站运行，并在征得您同意的情况下分析网站的性能和流量，以提供更加个性化的网络体验，并辅助我们的营销工作。点击下方不同类别的标题，获取更多信息，并根据您的偏好更改设置。您无法选择退出必备Cookie，因为其部署旨在确保我们网站的正常运行（例如提示 Cookie 横幅和记住您的设置等)。点击底部的“保存并接受”，即表示您同意按照您的设置使用我们的 [Cookie 政策](https://www.nvidia.cn/about-nvidia/cookie-policy/)中提及的 Cookie 和其他工具。有关我们隐私实践的更多信息，请参阅我们的[隐私政策](https://www.nvidia.cn/about-nvidia/privacy-policy/)。 必备 Cookie 始终有效 这些 Cookie 支持核心功能，如安全性、网络管理和可访问性。它们是网站运行所必需的，不能够关闭。 Cookie 详细信息 性能 Cookie - [x] 性能 Cookie 这些 Cookie 用于量化分析我们网站的访问者，例如您访问的次数、页面停留时间、鼠标移动、滚动、点击和按键活动；其他浏览、搜索或产品研究行为；以及您访问我们网站的原因。它们可以存储唯一 ID，以便我们的系统在您再次访问时能记得您。这些 Cookie 收集的信息用于评估网站性能和寻找改进方法。 Cookie 详细信息 个性化 Cookie - [x] 个性化 Cookie 这些 Cookie 收集有关您如何与我们的网站互动的数据，以帮助我们改善您的网络体验，例如您访问了哪些页面。它们可以存储唯一 ID，以便我们的系统在您再次访问时能记得您。这些 Cookie 可能由我们自身或其服务已添加到我们网页的第三方提供商设置。有了这些 Cookie，我们能够提供增强的网站功能和个性化，并且可让我们发送给您的营销信息更符合您的兴趣。如果您不允许使用这些 Cookie，则部分或全部服务可能无法正常运行。 Cookie 详细信息 广告 Cookie - [x] 广告 Cookie 这些 Cookie 记录您访问我们网站的情况、您访问的页面以及您所浏览的链接，以影响您在其他网站上看到的广告。这些 Cookie 及其收集的信息可能由其他公司（包括我们的广告合作伙伴）管理，并且用于构建您的兴趣画像以及在其他网站上向您展示相关广告。我们与广告合作伙伴将利用这些信息，使我们的网站以及网站上显示的广告更贴合您的兴趣。 Cookie 详细信息 Cookie 列表 Clear * - [x] checkbox label label Apply Cancel Consent Leg.Interest - [x] checkbox label label - [x] checkbox label label - [x] checkbox label label 全部拒绝 保存并接受 [![Image 8: Powered by Onetrust](https://www.nvidia.cn/assets/cn/onetrust/consent/1984719c-04aa-48de-8c22-5174bdf5c0ed/01917434-8292-70f9-8fae-1602521d0b2a/logos/static/powered_by_logo.svg)](https://www.onetrust.com/products/cookie-consent/)