NVIDIA and US Manufacturing and Robotics Leaders Drive America’s Reindustrialization With Physical AI
NVIDIA (NVDA) announced expanded Omniverse “Mega” Blueprint capabilities on Oct. 28, 2025 to support factory‑scale digital twins, robotics simulation and a three‑computer architecture for collaborative robots.
Key highlights: Siemens will be first to support the industrial Mega Blueprint in its Xcelerator platform; FANUC and Foxconn Fii have begun providing OpenUSD 3D robot models; Foxconn is using Omniverse to design a 242,287‑square‑foot Houston facility; the release cites $1.2 trillion of 2025 U.S. production investments and multiple manufacturers (Belden, Caterpillar, Lucid, Toyota, TSMC, Wistron) using Omniverse for digital twins and automation.
NVIDIA (NVDA) ha annunciato l'espansione delle capacità Omniverse “Mega” Blueprint il 28 ottobre 2025 per supportare gemelli digitali su scala industriale, simulazione robotica e un'architettura a tre computer per robot collaborativi.
Punti salienti: Siemens sarà la prima a supportare il Mega Blueprint industriale sulla piattaforma Xcelerator; FANUC e Foxconn Fii hanno iniziato a fornire modelli 3D OpenUSD di robot; Foxconn sta usando Omniverse per progettare un impianto da 242.287 piedi quadrati a Houston; la release cita 1,2 trilioni di dollari di investimenti statunitensi nella produzione nel 2025 e numerosi produttori (Belden, Caterpillar, Lucid, Toyota, TSMC, Wistron) che utilizzano Omniverse per gemelli digitali e automazione.
NVIDIA (NVDA) anunció ampliaciones de las capacidades del plan Maestro Omniverse "Mega" Blueprint el 28 de octubre de 2025 para apoyar gemelos digitales a escala de fábrica, simulación de robótica y una arquitectura de tres computadoras para robots colaborativos.
Puntos clave: Siemens será el primero en apoyar el Mega Blueprint industrial en su plataforma Xcelerator; FANUC y Foxconn Fii han comenzado a proporcionar modelos 3D OpenUSD de robots; Foxconn está utilizando Omniverse para diseñar una instalación en Houston de 242,287 pies cuadrados; la versión cita 1,2 billones de dólares de inversiones de producción de EE. UU. en 2025 y varios fabricantes (Belden, Caterpillar, Lucid, Toyota, TSMC, Wistron) que utilizan Omniverse para gemelos digitales y automatización.
NVIDIA (NVDA)는 2025년 10월 28일에 공장 규모의 디지털 트윈, 로봇 시뮬레이션 및 협업 로봇용 3대 컴퓨터 아키텍처를 지원하기 위한 Omniverse “Mega” Blueprint 기능 확장을 발표했다.
주요 하이라이트: Siemens가 Xcelerator 플랫폼에서 산업용 Mega Blueprint를 지원하는 최초의 기업이 될 것이고; FANUC와 Foxconn Fii가 OpenUSD 3D 로봇 모델 제공을 시작했다; Foxconn은 Omniverse를 사용해 휴스턴에 위치한 242,287 제곱피트 규모의 시설을 설계 중이다; 이 릴리스는 2025년 미국 생산 투자 1.2조 달러와 다수의 제조업체(Belden, Caterpillar, Lucid, Toyota, TSMC, Wistron)가 디지털 트윈과 자동화를 위해 Omniverse를 사용하고 있다고 밝히고 있다.
NVIDIA (NVDA) a annoncé le 28 octobre 2025 l'extension des capacités Omniverse « Mega » Blueprint pour prendre en charge les jumeaux numériques à l’échelle industrielle, la simulation robotique et une architecture à trois ordinateurs pour les robots collaboratifs.
Points clés : Siemens sera le premier à prendre en charge le Mega Blueprint industriel sur sa plateforme Xcelerator; FANUC et Foxconn Fii ont commencé à fournir des modèles 3D OpenUSD de robots; Foxconn utilise Omniverse pour concevoir une installation de Houston de 242 287 pieds carrés; la publication cite 1,2 billion de dollars d’investissements de production américains en 2025 et plusieurs fabricants (Belden, Caterpillar, Lucid, Toyota, TSMC, Wistron) utilisant Omniverse pour les jumeaux numériques et l’automatisation.
NVIDIA (NVDA) kündigte am 28. Oktober 2025 erweiterte Omniverse „Mega“ Blueprint-Fähigkeiten an, um digitale Zwillinge auf Fabrikskala, Robotersimulation und eine Drei-Computer-Architektur für kollaborative Roboter zu unterstützen.
Wichtige Highlights: Siemens wird als erstes das industrielle Mega Blueprint in seiner Xcelerator-Plattform unterstützen; FANUC und Foxconn Fii haben begonnen, OpenUSD 3D-Roboter-Modelle bereitzustellen; Foxconn verwendet Omniverse, um eine Houston-Einrichtung von 242.287 Quadratfuß zu entwerfen; die Veröffentlichung nennt 1,2 Billionen USD an Produktionsinvestitionen in den USA im Jahr 2025 und mehrere Hersteller (Belden, Caterpillar, Lucid, Toyota, TSMC, Wistron), die Omniverse für digitale Zwillinge und Automatisierung nutzen.
NVIDIA (NVDA) أعلنت في 28 أكتوبر 2025 عن توسيع قدرات Omniverse “Mega” Blueprint لدعم التوأمات الرقمية على مستوى المصنع، ومحاكاة الروبوتات، وبنية ثلاث حواسيب للروبوتات التعاونية.
أبرز النقاط: ستكون Siemens أول من يدعم Mega Blueprint الصناعي في منصة Xcelerator؛ بدأت FANUC و Foxconn Fii بتوفير نماذج روبوتات OpenUSD ثلاثية الأبعاد؛ تستخدم Foxconn Omniverse لتصميم منشأة في هيوستن بمساحة 242,287 قدم مربع; تشير النسخة إلى استثمارات إنتاج أمريكية بقيمة 1.2 تريليون دولار لعام 2025 وعدة مصنعين (Belden، Caterpillar، Lucid، Toyota، TSMC، Wistron) يستخدمون Omniverse من أجل التوأم الرقمي والأتمتة.
NVIDIA（NVDA） in 2025年10月28日宣布扩展 Omniverse “Mega” Blueprint 功能，以支持工厂规模的数字孪生、机器人仿真以及用于协作机器人的三台计算机架构。
要点摘要：西门子将成为在其 Xcelerator 平台上支持工业 Mega Blueprint 的首个企业；FANUC 与 Foxconn Fii 已开始提供 OpenUSD 3D 机器人模型；Foxconn 正在使用 Omniverse 设计位于休斯顿的一座 242,287 平方英尺 的设施；该版本提到 2025 年美国生产投资 1.2 万亿美元，以及多家制造商（Belden、Caterpillar、Lucid、Toyota、TSMC、Wistron）正在使用 Omniverse 进行数字孪生和自动化。
- $1.2 trillion in U.S. production investments announced in 2025
- Siemens first to support Mega Omniverse Blueprint in Xcelerator
- Foxconn designing a 242,287‑square‑foot Houston facility using Omniverse
- FANUC and Foxconn Fii providing OpenUSD 3D robot models for digital twins
- None.
Insights
NVIDIA's Omniverse expansion and wide partner adoption signal meaningful acceleration of AI-driven factory digitalization and robotics deployment.
NVIDIA's expansion of the "Mega" Omniverse Blueprint into factory-scale digital twins, plus initial support from Siemens, FANUC and Foxconn Fii, creates an integrated simulation stack for designing, testing and operating complex facilities. The announcement links digital twin models, live operational data and robot-model interoperability to shorten engineering cycles and reduce integration friction for large facilities.
The initiative depends on vendor adoption, data integrations and cloud/edge infrastructure availability; partners named include Belden, Caterpillar, Lucid Motors, Toyota, TSMC and Wistron, and cloud/edge support from Google Cloud and Microsoft is noted. These dependencies imply implementation complexity and multi‑vendor coordination during rollout across industrial sites in
Watch for concrete deployment milestones such as Siemens' beta integration into the Xcelerator platform and Foxconn's facility simulation in Houston referenced at the
News Summary:
- “Mega” NVIDIA Omniverse Blueprint expands to include libraries for building factory-scale digital twins, with Siemens’ Digital Twin software first to support the blueprint and FANUC and Foxconn Fii first to connect their robot models.
- Belden, Caterpillar, Foxconn, Lucid Motors, Toyota, TSMC and Wistron build Omniverse factory digital twins to accelerate AI-driven manufacturing.
- Agility Robotics, Amazon Robotics, Figure and Skild AI build America’s collaborative robot workforce using NVIDIA’s three-computer architecture.
WASHINGTON, Oct. 28, 2025 (GLOBE NEWSWIRE) -- GTC Washington, D.C.—NVIDIA today announced that the nation’s leading manufacturers, industrial software developers and robotics companies are using NVIDIA Omniverse™ technologies to build state-of-the-art robotic factories and new autonomous collaborative robots to help overcome labor shortages and drive American reindustrialization.
“AI is transforming the world’s factories into intelligent thinking machines — the engines of a new industrial revolution,” said Jensen Huang, founder and CEO of NVIDIA. “Together with American’s manufacturing leaders, we’re building physical AI, Omniverse digital twins and collaborative robots that will drive productivity, resilience and competitiveness across the U.S. industrial base.”
The Operating System for the Industrial AI Era
NVIDIA announced that it is expanding its “Mega” NVIDIA Omniverse Blueprint for simulating robot fleets to include technologies for designing and simulating factory digital twins.
Siemens is the first company to develop digital twin software that supports the Mega Omniverse Blueprint. Currently in beta testing, the new industrial technology stack will be part of the Siemens Xcelerator platform. It will help engineers design and operate large-scale digital twins of factories that bring together realistic 3D models with live operational data. Built for the AI era, this technology stack enables comprehensive simulation, optimization and real-time performance monitoring that can help design smarter and more efficient factories, products and data centers.
FANUC and Foxconn Fii are among the first robot manufacturers to support 3D, OpenUSD-based digital twins of their robots to make it easy for manufacturers to drag and drop equipment into their digital twins.
In his NVIDIA GTC Washington, D.C., keynote address, Huang showcased how Foxconn is using the new Omniverse technologies to design, simulate and optimize its new 242,287-square-foot facility in Houston, Texas, for manufacturing NVIDIA AI infrastructure systems.
America’s Leaders Build AI-Driven Factories to Accelerate Manufacturing
In 2025,
Belden has implemented Accenture’s Physical AI Orchestrator, which combines NVIDIA Omniverse libraries, the NVIDIA Metropolis platform and agentic AI from Accenture, to create virtual safety fences for instant hazardous zone monitoring and real-time quality-inspection systems in factories and warehouses.
Caterpillar is applying Omniverse to build digital twins of its factories and supply chains, for use in advanced manufacturing capabilities such as predictive maintenance and dynamic scheduling, NVIDIA NIM™ microservices to drive workflow automation and predict and optimize factory maintenance, and NVIDIA cuOpt™ software to optimize supply chain performance.
Lucid Motors is using Omniverse to build digital twins of its factories for real-time factory planning and optimization, as well as to train AI-driven robotics systems. Toyota is using idealworks’ iw.sim technology, which integrates capabilities from the Mega Omniverse Blueprint, to create digital twins of its Georgetown, Kentucky, facility and explore complex automation scenarios.
TSMC is using Omniverse to accelerate fab design and construction, as well as the NVIDIA Isaac™ platform for the development of robotics for specific operations at its Phoenix, Arizona, facility to significantly enhance manufacturing productivity. Wistron is using a suite of NVIDIA AI and Omniverse technologies to implement a rigorous digital testing and validation process for the systems it assembles in its Fort Worth, Texas, facility.
Leading Robot Developers Assemble America’s New Robotic Workforce
Robotics companies are using NVIDIA’s three-computer architecture to build and deploy advanced fleets of robots that will play a critical role in bridging skills gaps, enhancing worker productivity and improving safety across industries.
Figure and NVIDIA announced a collaboration to accelerate next‑generation humanoid robotics. Using NVIDIA accelerated computing to build its Helix vision language action model and the Isaac platform for simulation and training, Figure is rapidly building the world’s most advanced, large‑scale humanoid fleet capable of everything from household chores to industrial support.
Agility Robotics’ general-purpose humanoid, Digit, uses the NVIDIA Isaac Lab framework to refine whole-body control through millions of reinforcement learning scenarios, which accelerate enhancements to its skillsets such as step recovery from environmental disturbances, often needed in highly dynamic areas like manufacturing and logistics facilities. Digit is powered by the NVIDIA Jetson AGX Thor™ module, enabling real-time perception, navigation and autonomous decision-making.
Amazon Robotics is using Omniverse libraries and frameworks to shorten the development of Amazon’s various manipulation systems and mobile robots, which run on the NVIDIA Jetson™ platform, from years to months. Thanks to simulation training, Amazon’s recently announced BlueJay multi-arm manipulator for picking, stowing and consolidating moved from concept to production in just over a year.
Skild AI is building a general-purpose robotics foundation model that spans legged, wheeled and humanoid robots, using Isaac Lab for locomotion and dexterous manipulation tasks training and NVIDIA Cosmos™ world foundation models for generating training datasets. FieldAI is training cross-embodied robot brains for monitoring and inspection in construction and oil and gas environments, using Isaac Lab for reinforcement learning and NVIDIA Isaac Sim™ for synthetic data generation and software-in-the-loop validation.
AI Infrastructure Accelerates Industrial Digitalization
NVIDIA provides edge solutions and works with leading cloud service providers to offer broad access to the powerful AI and simulation infrastructure needed to accelerate manufacturing in America.
NVIDIA IGX Thor™, an NVIDIA Blackwell-powered, enterprise-ready platform designed to power the next generation of industrial and medical edge AI applications, is being adopted by industry leaders including Diligent Robotics, EndoQuest Robotics, Hitachi Rail, Joby Aviation, Maven and SETI Institute.
Google Cloud announced that its new G4 instances powered by NVIDIA RTX PRO™ 6000 Blackwell Server Edition GPUs are now available, while Microsoft will soon offer these GPUs both in Microsoft Azure public cloud and at the edge with Azure Local distributed infrastructure.
Learn more about how NVIDIA and partners are advancing AI innovation in the U.S. by watching the NVIDIA GTC Washington, D.C., keynote by Huang.
About NVIDIA
NVIDIA (NASDAQ: NVDA) is the world leader in AI and accelerated computing.
For further information, contact:
Quentin Nolibois
415-741-8356
qnolibois@nvidia.com
Certain statements in this press release including, but not limited to, statements as to: AI transforming the world’s factories into intelligent thinking machines — the engines of a new industrial revolution; together with American’s manufacturing leaders, NVIDIA building physical AI, Omniverse digital twins and collaborative robots that will drive productivity, resilience and competitiveness across the U.S. industrial base; the benefits, impact, performance, and availability of NVIDIA’s products, services, and technologies; expectations with respect to NVIDIA’s third party arrangements, including with its collaborators and partners; expectations with respect to technology developments; and other statements that are not historical facts are forward-looking statements within the meaning of Section 27A of the Securities Act of 1933, as amended, and Section 21E of the Securities Exchange Act of 1934, as amended, which are subject to the “safe harbor” created by those sections based on management’s beliefs and assumptions and on information currently available to management and are subject to risks and uncertainties that could cause results to be materially different than expectations. Important factors that could cause actual results to differ materially include: global economic and political conditions; NVIDIA’s reliance on third parties to manufacture, assemble, package and test NVIDIA’s products; the impact of technological development and competition; development of new products and technologies or enhancements to NVIDIA’s existing product and technologies; market acceptance of NVIDIA’s products or NVIDIA’s partners’ products; design, manufacturing or software defects; changes in consumer preferences or demands; changes in industry standards and interfaces; unexpected loss of performance of NVIDIA’s products or technologies when integrated into systems; and changes in applicable laws and regulations, as well as other factors detailed from time to time in the most recent reports NVIDIA files with the Securities and Exchange Commission, or SEC, including, but not limited to, its annual report on Form 10-K and quarterly reports on Form 10-Q. Copies of reports filed with the SEC are posted on the company’s website and are available from NVIDIA without charge. These forward-looking statements are not guarantees of future performance and speak only as of the date hereof, and, except as required by law, NVIDIA disclaims any obligation to update these forward-looking statements to reflect future events or circumstances.
Many of the products and features described herein remain in various stages and will be offered on a when-and-if-available basis. The statements above are not intended to be, and should not be interpreted as a commitment, promise, or legal obligation, and the development, release, and timing of any features or functionalities described for our products is subject to change and remains at the sole discretion of NVIDIA. NVIDIA will have no liability for failure to deliver or delay in the delivery of any of the products, features or functions set forth herein.
© 2025 NVIDIA Corporation. All rights reserved. NVIDIA, the NVIDIA logo, Jetson, Jetson AGX Thor, NVIDIA Cosmos, NVIDIA cuOpt, NVIDIA IGX Thor, NVIDIA Isaac, NVIDIA Isaac Sim, NVIDIA NIM, NVIDIA Omniverse and NVIDIA RTX PRO are trademarks and/or registered trademarks of NVIDIA Corporation in the U.S. and/or other countries. Other company and product names may be trademarks of the respective companies with which they are associated.
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FAQ
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