--- 格式版本: 2 标题: "Nvidia, Dassault Systèmes Partner for Digital Twin AI Platform" 原文链接: "https://www.datacenterknowledge.com/data-center-software/nvidia-dassault-partner-for-digital-twin-ai-platform" 发布日期: "2026-08-17" 发布时间校准状态: "found" 发布时间需复核: "否" 发布时间来源: "llm:scrape:strict_markdown_body" 发布时间证据: "AUG 17, 2026" 发布时间校准原因: "该日期出现在标题附近，且为最新日期，与文章发布时间一致。" 发布时间校准置信度: "1" 发布时间候选数量: 9 发布时间严格候选数量: 9 发布时间原页读取状态: "" 发布时间未找到原因: "" 发布时间校准时间: "2026-08-17T20:19:24+08:00" 发布时间仲裁状态: "confirmed" 发布时间仲裁尝试次数: 1 发布时间仲裁耗时毫秒: 7120 发现时间: "2026-08-17T20:11:12+08:00" 入库时间: "2026-08-17T12:19:41.018Z" 来源平台: "Data Center Knowledge 搜索" 搜索渠道: "source_template" 搜索词: "https://www.datacenterknowledge.com/search?q=NVIDIA" 匹配关键词: - "AI" - "Liquid Cooling" - "deployment" 相关厂家: - "NVIDIA" - "Google" 相关专家: [] 内容类型: "网页" 抓取工具: "CDP Render" 清洗工具: "CDP Text + Defuddle/Readability 正文提取" 原始附件: [] AI优质: "否" AI打分: 60 AI分档: "召回候选" AI质检状态: "不通过" AI打分理由: "文章主要报道NVIDIA与Dassault在数字孪生AI平台上的合作，提及Rubin平台和AI工厂，但未深入讨论超节点架构、关键部件或量产落地，技术细节不足，属于间接相关但非核心。" AI质检模型: "ali-deepseek-v4-flash" AI质检时间: "2026-08-17T20:19:47+08:00" AI主题相关性: 8 AI来源权威性: 12 AI新颖性: 15 AI技术细节: 5 AI商业部署信号: 10 AI完整性: 10 AI摘要: "英伟达与达索系统达成合作，将虚拟孪生技术与英伟达AI基础设施和软件结合，用于数据中心能效优化、容量规划及AI工厂建设。英伟达还将采用达索基于模型的系统工程设计Rubin平台，市场预计数字孪生到2033年达3285亿美元。" AI摘要模型: "ali-deepseek-v4-flash" AI摘要时间: "2026-09-07T03:23:07.685Z" 采集批次: "2026年8月17日19点06分47秒" 采集批次ID: "20260817-190647-603" 去重键: "https://www.datacenterknowledge.com/data-center-software/nvidia-dassault-partner-for-digital-twin-ai-platform" --- An Informa TechTarget Publication NEWSLETTER SIGN-UP DATA CENTER SOFTWARE BUILD & DESIGN DATA OBSERVABILITY DEALS NEWS Nvidia, Dassault Systèmes Partner for Digital Twin AI Platform The companies will combine virtual twin technology with Nvidia’s AI infrastructure and software to offer deployment at scale. Shane Snider,Senior News Writer,Data Center Knowledge February 3, 2026 2 Min Read ALAMY Nvidia and French 3D software firm Dassault Systèmes have unveiled a partnership to bring virtual twin architecture to the enterprise. The companies will merge Dassault’s virtual twin technology with Nvidia’s AI Infrastructure, open models, and software libraries to establish a workable real-world solution. Virtual twins, also known as digital twins, create a data-driven virtual replica of a real-world asset, system, or process. For data centers, virtual twins can help with power and cooling optimization, capacity planning for AI workloads, failure prediction and more. Virtual twin technology presents benefits for multiple industries, from manufacturing to the energy sector. Grand View Research projects the digital twin market to reach $328.5 billion by 2033, fueled by increased demand for predictive maintenance, remote monitoring, and production optimization. Large enterprises tend to dominate the digital twin market. Related:Anthropic Targets AI Data Center Bottleneck With Claude Managed Agents “Physical AI is the next frontier of artificial intelligence, grounded in the laws of the physical world,” Nvidia CEO Jensen Huang said in a statement. He said the partnership will “transform how millions of researchers, designers, and engineers build the world’s largest industries. Nvidia is adopting Dassault’s model-based systems engineering (MBSE) to design AI factories with the Nvidia Rubin platform and integrate its Omniverse DSX Blueprint for large-scale deployment. "This partnership signals that the AI factory concept is now maturing beyond marketing buzzword towards engineering discipline," Stephen Sopko, an analyst at HyperFrame Research, told Data Center Knowledge. "Nvidia adopting Dassault's model-based systems engineering for Rubin platform design suggests the complexity of next-generation AI data centers has outstripped traditional deployment methodologies. We think the real message here is more than the software, it's that even NVIDIA is turning to digital twins to build their own facilities at scale." The infrastructure will power virtual twins using Nvidia’s open AI models and software libraries. The companies say the partnership will unlock advances in biology and materials research, AI-driven design and engineering, and more. “We are entering an era where artificial intelligence does not just predict or generate, but also understands the real world,” Pascal Daloz, CEO of Dassault Systèmes, said in a statement. “This partnership establishes a new foundation for industrial AI, one that is trustworthy by design and capable of scaling innovation across the generative economy.” In a LinkedIn comment, CortexForge Maverick Tarasoff said the partnership was a step toward tangible AI benefits for enterprises. “The real shift here isn’t smarter models – it’s trusted execution,” he wrote. “When virtual twins are grounded in physics and validated by science, AI stops being predictive and starts being usable in the real world. That’s what makes virtual twins powerful here – not realism, but reliability.” About the Author Shane Snider Senior News Writer, Data Center Knowledge Shane Snider is Senior News Writer at Data Center Knowledge, covering AI infrastructure, hyperscale data centers, cloud platforms, and the power and energy systems driving modern compute expansion. His reporting focuses on the operational, economic, and environmental forces reshaping digital infrastructure, including AI factories, utility constraints, liquid cooling, renewable energy procurement, and next-generation data center architectures. He has won recent Azbee awards for news series and government reporting. Based in Raleigh, North Carolina, Snider covers how hyperscalers, utilities, chipmakers, and infrastructure providers are responding to the rapid rise of AI workloads and global compute demand. You can reach Shane at shane.snider@informatechtarget.com or on LinkedIn. 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