{"id":72927,"date":"2026-01-26T07:03:13","date_gmt":"2026-01-25T23:03:13","guid":{"rendered":"http:\/\/www.upgrademag.com\/web\/?p=72927"},"modified":"2026-01-19T13:04:52","modified_gmt":"2026-01-19T05:04:52","slug":"siemens-and-nvidia-expand-partnership","status":"publish","type":"post","link":"http:\/\/www.upgrademag.com\/web\/2026\/01\/26\/siemens-and-nvidia-expand-partnership\/","title":{"rendered":"Siemens and NVIDIA expand partnership"},"content":{"rendered":"<p style=\"font-weight: 400;\"><strong>Siemens and NVIDIA announced a significant <a href=\"https:\/\/press.siemens.com\/global\/en\/pressrelease\/siemens-and-nvidia-expand-partnership-build-industrial-ai-operating-system\">expansion of their strategic partnership<\/a>\u00a0to bring artificial intelligence into the real world. Together, the companies aim to develop industrial and physical AI solutions that will bring AI-driven innovation to every industry and industrial workflow, as well as accelerate each others\u2019 operations.<\/strong><\/p>\n<p style=\"font-weight: 400;\">To support development, NVIDIA will provide AI infrastructure, simulation libraries, models, frameworks and blueprints, while Siemens will commit hundreds of industrial AI experts and leading hardware and software.<\/p>\n<p style=\"font-weight: 400;\">\u201cTogether, we are building the Industrial AI operating system \u2014 redefining how the physical world is designed, built and run \u2014 to scale AI and create real-world impact,\u201d said Roland Busch, President and CEO of Siemens AG. \u201cBy combining NVIDIA\u2019s leadership in accelerated computing and AI platforms with Siemens\u2019 leading hardware, software, industrial AI and data, we\u2019re empowering customers to develop products faster with the most comprehensive digital twins, adapt production in real time and accelerate technologies from chips to AI factories.\u201d<\/p>\n<p style=\"font-weight: 400;\">\u201cGenerative AI and accelerated computing have ignited a new industrial revolution, transforming digital twins from passive simulations into the active intelligence of the physical world,\u201d said Jensen Huang, founder and CEO of NVIDIA. \u201cOur partnership with Siemens fuses the world\u2019s leading industrial software with NVIDIA\u2019s full-stack AI platform to close the gap between ideas and reality \u2014 empowering industries to simulate complex systems in software, then seamlessly automate and operate them in the physical world.\u201d<\/p>\n<p style=\"font-weight: 400;\"><b><strong>Accelerating the Entire Industrial Lifecycle<\/strong><\/b><br \/>\nSiemens and NVIDIA will work together to build AI-accelerated industrial solutions across the full lifecycle of products and production, enabling faster innovation, continuous optimization and more resilient, sustainable manufacturing. The companies aim to build the world\u2019s first fully AI-driven, adaptive manufacturing sites globally, starting in 2026 with the Siemens Electronics Factory in Erlangen, Germany, as the first blueprint.<\/p>\n<p style=\"font-weight: 400;\">Using an \u201cAI Brain,\u201d \u2014 powered by software-defined automation and industrial operations software, combined with\u00a0<a href=\"https:\/\/www.nvidia.com\/en-us\/omniverse\/\">NVIDIA Omniverse&#x2122; libraries<\/a>\u00a0and NVIDIA AI infrastructure, factories can continuously analyze their digital twins, test improvements virtually and turn validated insights into operational changes on the shopfloor.<\/p>\n<p style=\"font-weight: 400;\">This results in faster, more reliable decision-making from design to deployment \u2014 raising productivity while reducing commissioning time and risk. The companies aim to scale these capabilities across key verticals and several customers are already evaluating some of the capabilities including\u00a0Foxconn,\u00a0HD Hyundai,\u00a0KION Group\u00a0and\u00a0PepsiCo.<\/p>\n<p style=\"font-weight: 400;\">With the\u00a0<a href=\"https:\/\/www.nvidia.com\/en-us\/industries\/industrial-sector\/siemens\/\">partnership<\/a>\u00a0expansion, Siemens will complete GPU acceleration across its entire simulation portfolio and expand support for\u00a0<a href=\"https:\/\/www.nvidia.com\/en-us\/technologies\/cuda-x\/\">NVIDIA CUDA-X&#x2122; libraries<\/a>\u00a0and AI physics models, enabling customers to run larger, more accurate simulations faster. Building on that foundation, the companies will advance toward generative simulation by using\u00a0<a href=\"https:\/\/developer.nvidia.com\/physicsnemo\">NVIDIA PhysicsNeMo&#x2122;<\/a>\u00a0and open models to provide autonomous digital twins that deliver real-time engineering design and autonomous optimization.<\/p>\n<p style=\"font-weight: 400;\"><b><strong>Advancing Electronic Design Automation for Accelerated Computing<\/strong><\/b><br \/>\nBy applying industrial AI operating logic to semiconductors and AI factories, Siemens and NVIDIA will accelerate the engines of the AI revolution. Starting with semiconductor design and building on NVIDIA\u2019s extensive use of Siemens\u2019 tools, Siemens will integrate NVIDIA CUDA-X libraries, PhysicsNeMo and GPU acceleration across its EDA portfolio with a focus on verification, layout and process optimization \u2014 to target 2-10x speedups in key workflows.<\/p>\n<p style=\"font-weight: 400;\">The partnership will also add AI-assisted capabilities such as layout guidance, debug support and circuit optimization to boost engineering productivity while meeting strict manufacturability requirements. Together, these capabilities will advance AI-native engines for design, verification, manufacturability and digital-twin approaches to shorten design cycles, improve yield and deliver more reliable outcomes.<\/p>\n<p style=\"font-weight: 400;\"><b><strong>Designing the Next Generation of AI Factories<\/strong><\/b><br \/>\nSiemens and NVIDIA will also jointly develop a repeatable\u00a0<a href=\"https:\/\/nvidianews.nvidia.com\/news\/nvidia-partners-ai-infrastructure-america\">blueprint for next-generation AI factories<\/a>\u00a0\u2014 accelerating the industrial AI revolution and providing the high-performance foundation for their AI-accelerated industrial portfolios.<\/p>\n<p style=\"font-weight: 400;\">This blueprint will balance the next-generation high-density computing demands for power, cooling and automation while ensuring technologies are well positioned for both speed and efficiency \u2014 optimizing the full lifecycle, from planning and design to deployment and operations.<\/p>\n<p style=\"font-weight: 400;\">The combined effort bridges NVIDIA\u2019s AI platform roadmap, AI infrastructure expertise, partner ecosystem and the accelerated power of NVIDIA Omniverse library-based simulation with Siemens\u2019 strengths in power infrastructure, electrification, grid integration, automation and digital twins. Together, the companies aim to accelerate deployment, increase energy efficiency and improve resilience for industrial-scale AI infrastructure worldwide.<\/p>\n<p style=\"font-weight: 400;\"><b><strong>Optimizing Operations Through Shared Innovation<\/strong><\/b><br \/>\nSiemens and NVIDIA aim to accelerate each others\u2019 operations and portfolio by implementing technologies on their own systems before scaling them across industries. NVIDIA will assess Siemens offerings to streamline and optimize its own operations and offerings, and\u00a0Siemens will assess its own workloads and collaborate with NVIDIA to accelerate them and integrate AI into Siemens\u2019 customer portfolio. By accelerating one another and improving their own systems, Siemens and NVIDIA are creating concrete proof points of value and scalability for customers.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>NVIDIA will provide AI infrastructure, simulation libraries, models, frameworks and blueprints, while Siemens will commit hundreds of industrial AI experts and leading hardware and software.<\/p>\n","protected":false},"author":6,"featured_media":72928,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[19],"tags":[411,3124,96],"class_list":["post-72927","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-headlines","tag-nvidia","tag-siemens","tag-technology"],"_links":{"self":[{"href":"http:\/\/www.upgrademag.com\/web\/wp-json\/wp\/v2\/posts\/72927","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/www.upgrademag.com\/web\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/www.upgrademag.com\/web\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/www.upgrademag.com\/web\/wp-json\/wp\/v2\/users\/6"}],"replies":[{"embeddable":true,"href":"http:\/\/www.upgrademag.com\/web\/wp-json\/wp\/v2\/comments?post=72927"}],"version-history":[{"count":1,"href":"http:\/\/www.upgrademag.com\/web\/wp-json\/wp\/v2\/posts\/72927\/revisions"}],"predecessor-version":[{"id":72929,"href":"http:\/\/www.upgrademag.com\/web\/wp-json\/wp\/v2\/posts\/72927\/revisions\/72929"}],"wp:featuredmedia":[{"embeddable":true,"href":"http:\/\/www.upgrademag.com\/web\/wp-json\/wp\/v2\/media\/72928"}],"wp:attachment":[{"href":"http:\/\/www.upgrademag.com\/web\/wp-json\/wp\/v2\/media?parent=72927"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/www.upgrademag.com\/web\/wp-json\/wp\/v2\/categories?post=72927"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/www.upgrademag.com\/web\/wp-json\/wp\/v2\/tags?post=72927"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}