[{"data":1,"prerenderedAt":110},["ShallowReactive",2],{"Z37EZ_gown4IOGdrpzATeABHLwCkTm8Sk-6MQpTV7GE":3,"_apollo:default":108,"_apollo:identified":109},{"allSettings":4,"seo":10,"posts":21},{"customSettings":5,"__typename":9},{"urlFront":6,"urlPreview":7,"__typename":8},"https://blog.3ds.com","https://blog-build-prd.itvpc.3ds.com","CustomSettings","Settings",{"social":11,"openGraph":17,"__typename":20},{"twitter":12,"__typename":16},{"cardType":13,"username":14,"__typename":15},"summary_large_image","dassault3ds","SEOSocialTwitter","SEOSocial",{"defaultImage":18,"__typename":19},null,"SEOOpenGraph","SEOConfig",{"nodes":22,"__typename":107},[23],{"id":24,"slug":25,"title":26,"uri":27,"excerpt":28,"locale":29,"featuredImage":32,"tableOfContents":40,"content":48,"date":49,"translations":50,"author":51,"topics":59,"globalTags":79,"brands":87,"keywords":90,"seo":96,"__typename":106},"cG9zdDozMDI5NDk=","ai-factory-virtual-twins","Accelerating AI factory innovation with virtual twins","/topics/company-news/ai-factory-virtual-twins","\u003Cp>As demonstrated at Computex in June, AI factory virtual twins leverage systems engineering to optimize and simulate designs, improving quality, reducing time to first production and maximizing performance per megawatt. \u003C/p>\n",{"locale":30,"__typename":31},"en_US","Locale",{"node":33,"__typename":39},{"large":34,"__typename":35,"medium_large":34,"thumbnail":36,"srcSet":37,"sizes":38},"https://blog-assets.3ds.com/uploads/2026/05/ai-factory-twin-hero.jpg","MediaItem","https://blog-assets.3ds.com/uploads/2026/05/ai-factory-twin-hero-150x150.jpg","https://blog-assets.3ds.com/uploads/2026/05/ai-factory-twin-hero-300x169.jpg 300w, https://blog-assets.3ds.com/uploads/2026/05/ai-factory-twin-hero.jpg 570w","(max-width: 300px) 100vw, 300px","NodeWithFeaturedImageToMediaItemConnectionEdge",[41,42,43,44,45,46,47],"What is an AI factory?|what-is-an-ai-factory-0","How is Dassault Systèmes contributing to NVIDIA DSX AI factories?|how-is-dassault-systemes-contributing-to-nvidia-dsx-ai-factories-1","What is model-based systems engineering (MBSE)?|what-is-model-based-systems-engineering-mbse-2","AI factories and the Generative Economy |ai-factories-and-the-generative-economy-3","Building an Industrial AI platform|building-an-industrial-ai-platform-4","Frequently Asked Questions|frequently-asked-questions-5","Related Resources on Industrial AI|related-resources-on-industrial-ai-6","\n\u003Cp>As AI moves from experimentation to large scale industrial deployments, global demand for accelerated computing and generative AI is surging. The ability to scale AI requires the right infrastructure to keep up.\u003C/p>\n\n\n\n\u003Cp>To accelerate the deployment of complex AI factories, Dassault Systèmes, \u003Ca href=\"https://www.qct.io/\" target=\"_blank\" rel=\"noreferrer noopener\">Quanta Cloud Technology (QCT)\u003C/a> and \u003Ca href=\"https://www.nvidia.com/en-us/\" target=\"_blank\" rel=\"noreferrer noopener\">NVIDIA\u003C/a> are showcasing during Computex Taipei, the world’s largest AI exhibition, a first-of-its kind initiative leveraging \u003Ca href=\"https://www.3ds.com/technologies/mbse-software\">Dassault Systèmes’ model-based systems engineering (MBSE)\u003C/a> on the \u003Ca href=\"https://www.3ds.com/3dexperience/\">\u003Cstrong>3D\u003C/strong>EXPERIENCE platform\u003C/a>, QCT’s hardware R&D capabilities and the new \u003Cins>\u003Ca href=\"https://nvidianews.nvidia.com/news/dsx-infrastructure-ai-factory\" target=\"_blank\" rel=\"noreferrer noopener\">NVIDIA Omniverse DSX Blueprint\u003C/a>\u003C/ins> to generate AI factory virtual twins.\u003C/p>\n\n\n\n\u003Cp>“An AI factory is inherently a massive, complex industrial system,” said Stéphane Sireau, vice president, High-Tech Industry, at Dassault Systèmes. “Through the engineering intelligence of Dassault Systèmes’ model-based systems engineering, combined with QCT’s hardware foundation and NVIDIA DSX’s robust framework, AI factory platforms become equipped with complete lifecycle governance, scalability and industrialization for maximum token performance per megawatt.”\u003C/p>\n\n\n\n\u003Cp>The demo shown at Computex leverages the NVIDIA Omniverse DSX Blueprint and integrates the \u003Cstrong>3D\u003C/strong>EXPERIENCE platform to enable QCT to engineer and validate rack-level AI infrastructure at scale through an AI factory virtual twin, before its physical construction, supply and deployment. This generative configurator establishes Dassault Systèmes’ model-based systems engineering on the \u003Cstrong>3D\u003C/strong>EXPERIENCE platform as the core engineering backbone for AI factory industrialization.\u003C/p>\n\n\n\n\u003Cp>Also at Computex, we’ll join critical\u003Ca href=\"https://www.vertiv.com/en-us/\" target=\"_blank\" rel=\"noreferrer noopener\"> digital infrastructure leader Vertiv\u003C/a> and NVIDIA to demonstrate \u003Ca href=\"https://www.vertiv.com/en-us/about/news-and-events/corporate-news/2026/vertiv-introduces-first-converged-physical-infrastructure-digital-twin-for-nvidia-omniverse-dsx/\" target=\"_blank\" rel=\"noreferrer noopener\">how Vertiv SmartRun, the company’s AI factory infrastructure\u003C/a>, can be represented both as a physical infrastructure system and a configurable virtual twin.\u003C/p>\n\n\n\n\u003Cp>The demonstrator uses our MBSE capabilities on the \u003Cstrong>3D\u003C/strong>EXPERIENCE platform to help capture configuration rules, dependencies and engineering intent.\u003C/p>\n\n\n\n\u003Cp>At the French Tech Pavilion at Computex, we’ll further demonstrate benefits of the AI factory virtual twin we’ll deliver with NVIDIA, diving deep into the engineering, equipment production and construction aspects.\u003C/p>\n\n\n\n\u003Ch2 class=\"wp-block-heading\" id=\"what-is-an-ai-factory-0\">\u003Cstrong>What is an AI factory?\u003C/strong>\u003C/h2>\n\n\n\n\u003Cp>AI factories are essential infrastructure that enable organizations to create value out of data by industrializing artificial intelligence. AI factories produce “tokens,” which are units of data processed by AI models.\u003C/p>\n\n\n\n\u003Cp>AI factories and data centers are not the same thing. While traditional data centers are general-purpose facilities for computing tasks, AI factories are purpose-built systems “optimized for artificial intelligence workloads, with a strong emphasis on AI inference performance and energy efficiency,” \u003Ca href=\"https://www.nvidia.com/en-us/glossary/ai-factory/\" target=\"_blank\" rel=\"noreferrer noopener\">according to NVIDIA\u003C/a>.\u003C/p>\n\n\n\n\u003Cp>By producing tokens, AI factories allow enterprises to monitor and process reams of data, run custom agents and continuously train their AI models. AI factories are enablers of industrial AI.\u003C/p>\n\n\n\n\u003Cp>NVIDIA’s new \u003Ca href=\"https://www.nvidia.com/en-us/data-center/products/dsx/\" target=\"_blank\" rel=\"noreferrer noopener\">DSX platform\u003C/a> is engineered specifically for AI factories. It “brings together open source, modular software libraries, application programming interfaces, reference designs, NVIDIA accelerated computing platforms and partner technologies into a common, codesigned platform for AI factory design, deployment and operations,” according to \u003Ca href=\"https://nvidianews.nvidia.com/news/dsx-infrastructure-ai-factory\" target=\"_blank\" rel=\"noreferrer noopener\">a press release.\u003C/a>\u003C/p>\n\n\n\n\u003Ch2 class=\"wp-block-heading\" id=\"how-is-dassault-systemes-contributing-to-nvidia-dsx-ai-factories-1\">\u003Cstrong>How is Dassault Systèmes contributing to NVIDIA DSX AI factories?\u003C/strong>\u003C/h2>\n\n\n\n\u003Cp>Together, Dassault Systèmes and NVIDIA are integrating AI factory development and operations to enable the generation of AI factory virtual twins and optimize designs through systems engineering and simulation. This bridges the gap between concept and deployment, improving efficiency and maximizing token performance per megawatt.\u003C/p>\n\n\n\n\u003Cp>The collaboration establishes a continuous AI factory digital thread spanning design, validation, deployment and operations for enterprises, comprising:\u003C/p>\n\n\n\n\u003Cul class=\"wp-block-list\">\n\u003Cli>\u003Cstrong>Reusable virtual twin assets and industrialized architecture:  \u003C/strong>Using OpenUSD-based digital assets, complex AI clusters such as the NVIDIA Vera Rubin platform are transformed into standardized, modularly reusable industrialized reference architecture. This enables the precise and scalable replication and expansion of AI factories globally.\u003C/li>\n\n\n\n\u003Cli>\u003Cstrong>Configuration-driven deployment governance and traceability: \u003C/strong>Dassault Systèmes’ MBSE enables high-precision configuration management. This ensures end-to-end traceability from virtual design and physical rack cabling to networking configurations, minimizing disconnects and risks during physical deployment.\u003C/li>\n\n\n\n\u003Cli>\u003Cstrong>Continuous lifecycle twins from engineering to operations:\u003C/strong> Within a full-lifecycle virtual twin environment, up-front simulation of physical dynamics and computational fluid dynamics (CFD) for the AI factory allows aligning virtual planning with physical execution.\u003C/li>\n\u003C/ul>\n\n\n\n\u003Cp>At \u003Cstrong>3D\u003C/strong>EXPERIENCE World earlier this year, we announced NVIDIA is using \u003Ca href=\"https://www.3ds.com/technologies/mbse-software\">Dassault Systemes’ model-based systems engineering\u003C/a> to design AI factories, starting with the \u003Ca href=\"https://www.nvidia.com/en-us/data-center/technologies/rubin/\" target=\"_blank\" rel=\"noreferrer noopener\">NVIDIA Vera Rubin platform,\u003C/a>  and integrating it into \u003Ca href=\"https://blogs.nvidia.com/blog/omniverse-dsx-blueprint/\" target=\"_blank\" rel=\"noreferrer noopener\">NVIDIA Omniverse DSX Blueprint and open framework\u003C/a> for developing digital twins to design, simulate and operate large-scale AI factories. \u003C/p>\n\n\n\n\u003Ch2 class=\"wp-block-heading\" id=\"what-is-model-based-systems-engineering-mbse-2\">\u003Cstrong>What is model-based systems engineering (MBSE)?\u003C/strong>\u003C/h2>\n\n\n\n\u003Cp>MBSE is an engineering methodology that uses digital models as the primary means of information exchange and system representation throughout the lifecycle of a project. It allows engineers to create, analyze and validate system designs in a virtual environment before physical implementation.\u003C/p>\n\n\n\n\u003Cp>In the case of AI factories, MBSE ensures end-to-end traceability throughout the lifecycle of highly complex projects, allowing real-time testing, modeling scenarios, minimizing risks, lowering token cost and maximizing token performance per megawatt.\u003C/p>\n\n\n\n\u003Ch2 class=\"wp-block-heading\" id=\"ai-factories-and-the-generative-economy-3\">\u003Cstrong>AI factories and the Generative Economy \u003C/strong>\u003C/h2>\n\n\n\n\u003Cp>Historically, industry has mass produced physical products and finished goods, but we’re transitioning to a Generative Economy in which knowledge and know-how has become the product. Contributing our knowledge and know-how to producing AI factory virtual twins is a prime example of the Generative Economy in action.\u003C/p>\n\n\n\n\u003Cp>“The 20th Century was really about the industry using and producing objects,” Dassault Systèmes CEO and Chairman Pascal Daloz said. “In this new century, industry is producing knowledge and know-how, and the knowledge and know-how are generating the objects. This is where the true value lies. This is where the power is.”\u003C/p>\n\n\n\n\u003Cp>A traditional factory is optimized to turn raw materials into a tangible product. AI factories turn raw data into knowledge, which is then used to create the tangible product. AI factory virtual twins allow the planning, design, testing and validation of AI factories to happen in a virtual environment, so they can deliver better knowledge faster and, in turn, lead to more efficient production of the end product.\u003C/p>\n\n\n\n\u003Ch2 class=\"wp-block-heading\" id=\"building-an-industrial-ai-platform-4\">\u003Cstrong>Building an Industrial AI platform\u003C/strong>\u003C/h2>\n\n\n\n\u003Cp>At Computex, we’re showing how, with our ecosystem, we are industrializing AI to fuel industrial AI.\u003C/p>\n\n\n\n\u003Cp>Earlier this year, Dassault Systèmes and NVIDIA together announced \u003Ca href=\"https://blog.3ds.com/topics/company-news/ai-for-industry/\">a new foundation for industrial AI with the introduction of “industry world models”\u003C/a> that will help companies design, simulate and operate faster, more reliably and at a scale never seen before.\u003C/p>\n\n\n\n\u003Cp>Industry world models are advanced AI systems, built upon decades of industrial knowledge and know-how, that understand the dynamics of the physical world and use input data to create internal simulations that allow AI to learn and understand before recommending or taking action. These models power virtual twins on the \u003Cstrong>3D\u003C/strong>EXPERIENCE platform.\u003C/p>\n\n\n\n\u003Cp>“We are entering an era where artificial intelligence does not just predict or generate, but understands the real world. When AI is grounded in science, physics and validated industrial knowledge, it becomes a force multiplier for human ingenuity,” Daloz said in a press release at the time. “Together with NVIDIA, we are building \u003Ca href=\"https://blog.3ds.com/topics/company-news/dassault-systemes-nvidia-partnership-explained/\">industry world models that unite virtual twins and accelerated computing\u003C/a> to help industry design, simulate and operate complex systems in biology, materials science, engineering and manufacturing with confidence. This partnership establishes a new foundation for industrial AI, one that is trustworthy by design and capable of scaling innovation across the generative economy.”\u003C/p>\n\n\n\n\u003Cp>We also introduced three agentic companions—AURA, LEO and MARIE—that virtually personify decades of scientific knowledge, industry experience and technical know-how.\u003C/p>\n\n\n\n\u003Cp>Available on the \u003Ca href=\"https://www.3ds.com/cloud\">\u003Cstrong>3D\u003C/strong>EXPERIENCE platform on the Cloud\u003C/a>, these agents can reason, simulate and act within an industrial context.\u003C/p>\n\n\n\n\u003Cp>They’re smart enough to reason with you, challenge your assumptions and hold you accountable while you work through complex industrial challenges. They combine decades of Dassault Systèmes’ science with your own knowledge and information from static documents. They will operate in a secured environment powered by \u003Ca href=\"https://www.nvidia.com/en-us/ai/nemoclaw/\" target=\"_blank\" rel=\"noreferrer noopener\">NVIDIA NemoClaw\u003C/a> and \u003Ca href=\"https://build.nvidia.com/openshell\" target=\"_blank\" rel=\"noreferrer noopener\">OpenShell\u003C/a>.\u003C/p>\n\n\n\n\u003Cp>“In the Generative Economy, industry produces knowledge and know-how that generates objects: this is where true value lies,” Daloz said in a press release announcing the agents. “The time has come to put knowledge to work by creating a new kind of teamwork between humans and Virtual Companions to make the invisible visible and the impossible possible before anything physically exists, accelerating innovation cycles while protecting the most critical assets.” \u003C/p>\n\n\n\n\u003Ch2 class=\"wp-block-heading\" id=\"frequently-asked-questions-5\">Frequently Asked Questions\u003C/h2>\n\n\n\u003Cdiv class=\"block-faq-items\" itemscope itemtype=\"https://schema.org/FAQPage\">\u003Cdiv id=\"faq-item-1\" class=\"accordion-item\" itemscope itemprop=\"mainEntity\" itemtype=\"https://schema.org/Question\">\u003Cdiv class=\"ds-accordion-header\">\u003Ch3 class=\"ds-accordion-subtitle\">\u003Cbutton id=\"faq-item-1-button\" class=\"ds-accordion-button\" aria-expanded=\"false\" aria-controls=\"faq-item-1-content\">\u003Cspan itemprop=\"name\">What are industry world models?\u003C/span>\u003C/button>\u003C/h3>\u003Cdiv class=\"ds-accordion-icon\">\u003Ci class=\"Icon Icon--chevronBottom\">\u003C/i>\u003C/div>\u003C/div>\u003Cdiv class=\"ds-accordion-content\" aria-labelledby=\"faq-item-1-button\" style=\"max-height: 0; transition: max-height 0.4s ease-in-out, opacity 0.4s ease-in-out; opacity: 0;\" itemscope itemprop=\"acceptedAnswer\" itemtype=\"https://schema.org/Answer\">\u003Cdiv id=\"faq-item-1-content\" class=\"ds-accordion-content-item text-[16px] leading-[24px] legacy-xlg:!text-[18px] legacy-xlg:leading-[28px]\">\u003Cdiv itemprop=\"text\">\u003Cp>A result of the expanded partnership between Dassault Systèmes and NVIDIA, industry world models combine Dassault Systèmes’ virtual twin technologies with NVIDIA’s AI infrastructure, open models and accelerated software libraries to build new, unique world models that will transform the use of enterprise AI across industries. \u003Cbr>\u003Cbr>Combining Dassault Systèmes industrial knowledge and know-how with NVIDIA AI libraries, these industry world models understand the physics, behaviors and consequences of actions, in order to generate optimal designs and make the best decisions.\u003C/p>\u003C/div>\u003C/div>\u003C/div>\u003C/div>\u003Cdiv id=\"faq-item-2\" class=\"accordion-item\" itemscope itemprop=\"mainEntity\" itemtype=\"https://schema.org/Question\">\u003Cdiv class=\"ds-accordion-header\">\u003Ch3 class=\"ds-accordion-subtitle\">\u003Cbutton id=\"faq-item-2-button\" class=\"ds-accordion-button\" aria-expanded=\"false\" aria-controls=\"faq-item-2-content\">\u003Cspan itemprop=\"name\">What are virtual companions?\u003C/span>\u003C/button>\u003C/h3>\u003Cdiv class=\"ds-accordion-icon\">\u003Ci class=\"Icon Icon--chevronBottom\">\u003C/i>\u003C/div>\u003C/div>\u003Cdiv class=\"ds-accordion-content\" aria-labelledby=\"faq-item-2-button\" style=\"max-height: 0; transition: max-height 0.4s ease-in-out, opacity 0.4s ease-in-out; opacity: 0;\" itemscope itemprop=\"acceptedAnswer\" itemtype=\"https://schema.org/Answer\">\u003Cdiv id=\"faq-item-2-content\" class=\"ds-accordion-content-item text-[16px] leading-[24px] legacy-xlg:!text-[18px] legacy-xlg:leading-[28px]\">\u003Cdiv itemprop=\"text\">\u003Cp>Dassault Systèmes’ new Virtual Companions are purpose-built, AI-powered experts for complex industrial problem-solving rather than personal assistance. They operate on the 3DEXPERIENCE platform to help organizations create, test and validate innovations.\u003Cbr>\u003Cbr>We ground our Virtual Companions in science and decades of industry-grade knowledge. They represent a combination of Industry World Models, AI and multi-scale, multi-discipline modeling validated by the laws of physics. They also access libraries of trusted news sources organized by industry, in addition to your unique enterprise data.\u003C/p>\u003C/div>\u003C/div>\u003C/div>\u003C/div>\u003Cdiv id=\"faq-item-3\" class=\"accordion-item\" itemscope itemprop=\"mainEntity\" itemtype=\"https://schema.org/Question\">\u003Cdiv class=\"ds-accordion-header\">\u003Ch3 class=\"ds-accordion-subtitle\">\u003Cbutton id=\"faq-item-3-button\" class=\"ds-accordion-button\" aria-expanded=\"false\" aria-controls=\"faq-item-3-content\">\u003Cspan itemprop=\"name\">Are AI factories and data centers the same?\u003C/span>\u003C/button>\u003C/h3>\u003Cdiv class=\"ds-accordion-icon\">\u003Ci class=\"Icon Icon--chevronBottom\">\u003C/i>\u003C/div>\u003C/div>\u003Cdiv class=\"ds-accordion-content\" aria-labelledby=\"faq-item-3-button\" style=\"max-height: 0; transition: max-height 0.4s ease-in-out, opacity 0.4s ease-in-out; opacity: 0;\" itemscope itemprop=\"acceptedAnswer\" itemtype=\"https://schema.org/Answer\">\u003Cdiv id=\"faq-item-3-content\" class=\"ds-accordion-content-item text-[16px] leading-[24px] legacy-xlg:!text-[18px] legacy-xlg:leading-[28px]\">\u003Cdiv itemprop=\"text\">\u003Cp>AI factories and data centers are not the same thing. While traditional data centers are general-purpose facilities for computing tasks, AI factories are purpose-built digital infrastructure that enable organizations to create value out of data by industrializing artificial intelligence.\u003C/p>\u003C/div>\u003C/div>\u003C/div>\u003C/div>\u003Cdiv id=\"faq-item-4\" class=\"accordion-item\" itemscope itemprop=\"mainEntity\" itemtype=\"https://schema.org/Question\">\u003Cdiv class=\"ds-accordion-header\">\u003Ch3 class=\"ds-accordion-subtitle\">\u003Cbutton id=\"faq-item-4-button\" class=\"ds-accordion-button\" aria-expanded=\"false\" aria-controls=\"faq-item-4-content\">\u003Cspan itemprop=\"name\">What are the benefits of virtual twins of AI factories?\u003C/span>\u003C/button>\u003C/h3>\u003Cdiv class=\"ds-accordion-icon\">\u003Ci class=\"Icon Icon--chevronBottom\">\u003C/i>\u003C/div>\u003C/div>\u003Cdiv class=\"ds-accordion-content\" aria-labelledby=\"faq-item-4-button\" style=\"max-height: 0; transition: max-height 0.4s ease-in-out, opacity 0.4s ease-in-out; opacity: 0;\" itemscope itemprop=\"acceptedAnswer\" itemtype=\"https://schema.org/Answer\">\u003Cdiv id=\"faq-item-4-content\" class=\"ds-accordion-content-item text-[16px] leading-[24px] legacy-xlg:!text-[18px] legacy-xlg:leading-[28px]\">\u003Cdiv itemprop=\"text\">\u003Cp>AI factory virtual twins allow the planning, design, testing and validation of AI factories to happen in a virtual environment, so they can deliver better knowledge faster and, in turn, lead to more efficient production of the end product. By bridging the gap between concept and deployment, AI factory virtual twins improve quality, lowering token cost and maximizing token performance per megawatt.\u003C/p>\u003C/div>\u003C/div>\u003C/div>\u003C/div>\u003C/div>\n\n\n\u003Ch2 class=\"wp-block-heading\" id=\"related-resources-on-industrial-ai-6\">Related Resources on Industrial AI\u003C/h2>\n\n\n\n\u003Cul class=\"wp-block-list\">\n\u003Cli>\u003Ca href=\"https://blog.3ds.com/topics/company-news/industrial-ai-with-virtual-twins/\">Combining Industrial AI with Virtual Twins \u003C/a>\u003C/li>\n\n\n\n\u003Cli>\u003Ca href=\"https://blog.3ds.com/industries/industrial-equipment/how-ai-smart-manufacturing-delivers-real-roi/\">How Smart AI Manufacturing Delivers Real ROI\u003C/a>\u003C/li>\n\n\n\n\u003Cli>\u003Ca href=\"https://blog.3ds.com/brands/biovia/reshaping-drug-discovery-and-materials-innovation/\">Reshaping Drug Discovery and Materials Innovation\u003C/a>\u003C/li>\n\n\n\n\u003Cli>\u003Ca href=\"https://blog.3ds.com/industries/life-sciences-healthcare/ai-in-healthcare-transforming-industry/\">11 Real Ways AI is Transforming Healthcare\u003C/a>\u003C/li>\n\n\n\n\u003Cli>\u003Ca href=\"https://blog.3ds.com/topics/company-news/ai-for-industry/\">A New Age of AI for Industry\u003C/a>\u003C/li>\n\u003C/ul>\n","2026-06-01T05:35:13",[],{"node":52},{"slug":53,"firstName":54,"lastName":55,"nicename":53,"name":53,"description":56,"avatar":57},"","Patrick","Ball","Patrick is a Senior Communications Manager on the Corporate Publishing team here at Dassault Systèmes. An experienced journalist, marketer, speechwriter and storyteller, Patrick's words have appeared on pages and stages around the world.",{"url":58},"https://blog-assets.3ds.com/uploads/2022/03/patrick-ball-scaled-1-96x96.jpg",{"edges":60,"nodes":74,"__typename":78},[61],{"isPrimary":62,"node":63,"__typename":73},true,{"slug":64,"name":65,"topics":66,"__typename":72},"company-news","Company News",{"nodes":67,"__typename":71},[68],{"translations":69,"__typename":70},[],"Topic","Taxonomy_topicToTopicConnection","Taxonomy_topic","PostToTaxonomy_topicConnectionEdge",[75],{"id":76,"name":65,"slug":64,"uri":77,"__typename":72},"dGVybTo4NTUz","/topics/company-news/","PostToTaxonomy_topicConnection",{"nodes":80,"__typename":86},[81],{"id":82,"name":83,"uri":84,"__typename":85},"dGVybTo4ODMy","AI","/tags/ai/","Taxonomy_tag","PostToTaxonomy_tagConnection",{"nodes":88,"__typename":89},[],"PostToTaxonomy_brandConnection",{"nodes":91,"__typename":95},[92],{"name":93,"__typename":94},"SPARK","Taxonomy_keyword","PostToTaxonomy_keywordConnection",{"canonical":97,"title":98,"metaDesc":99,"opengraphAuthor":53,"opengraphDescription":99,"opengraphTitle":26,"opengraphUrl":97,"opengraphSiteName":100,"opengraphPublishedTime":101,"opengraphModifiedTime":102,"twitterTitle":53,"twitterDescription":53,"readingTime":103,"metaRobotsNoindex":104,"__typename":105},"https://blog-frontoffice-contrib-prd.itvpc.3ds.com/topics/company-news/ai-factory-virtual-twins/","Accelerating AI factory innovation with virtual twins - Dassault Systèmes blog","AI factory virtual twins optimize designs through simulation, improving quality and maximizing token-per-watt efficiency.","Dassault Systèmes blog","2026-06-01T05:35:13+00:00","2026-06-02T12:37:31+00:00",8,"index","PostTypeSEO","Post","RootQueryToPostConnection",{},{},1781789128616]