News Summary:<\/p>\n
\n\t\u201cMega\u201d NVIDIA Omniverse Blueprint expands to include libraries for building factory-scale digital twins, with Siemens\u2019 Digital Twin software first to support the blueprint and FANUC and Foxconn Fii first to connect their robot models.
\n\tBelden, Caterpillar, Foxconn, Lucid Motors, Toyota, TSMC and Wistron build Omniverse factory digital twins to accelerate AI-driven manufacturing.
\n\tAgility Robotics, Amazon Robotics, Figure and Skild AI build America\u2019s collaborative robot workforce using NVIDIA\u2019s three-computer architecture.
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GTC Washington, D.C.\u2014NVIDIA today announced that the nation\u2019s leading manufacturers, industrial software developers and robotics companies are using NVIDIA Omniverse<\/a>\u2122 technologies to build state-of-the-art robotic factories and new autonomous collaborative robots to help overcome labor shortages and drive American reindustrialization.<\/p>\n \u201cAI is transforming the world\u2019s factories into intelligent thinking machines \u2014 the engines of a new industrial revolution,\u201d said Jensen Huang, founder and CEO of NVIDIA. \u201cTogether with American\u2019s manufacturing leaders, we\u2019re building physical AI, Omniverse digital twins and collaborative robots that will drive productivity, resilience and competitiveness across the U.S. industrial base.\u201d<\/p>\n The Operating System for the Industrial AI Era Siemens<\/a> 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<\/a> 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.<\/p>\n FANUC and Foxconn Fii are among the first robot manufacturers to support 3D, OpenUSD<\/a>-based digital twins of their robots to make it easy for manufacturers to drag and drop equipment into their digital twins.<\/p>\n 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.<\/p>\n America\u2019s Leaders Build AI-Driven Factories to Accelerate Manufacturing Belden has implemented Accenture\u2019s Physical AI Orchestrator, which combines NVIDIA Omniverse libraries, the NVIDIA Metropolis<\/a> 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.<\/p>\n 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\u2122 microservices to drive workflow automation and predict and optimize factory maintenance, and NVIDIA cuOpt\u2122 software to optimize supply chain performance.<\/p>\n 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\u2019 iw.sim<\/a> technology, which integrates capabilities from the Mega Omniverse Blueprint, to create digital twins of its Georgetown, Kentucky, facility and explore complex automation scenarios.<\/p>\n TSMC is using Omniverse to accelerate fab design and construction, as well as the NVIDIA Isaac<\/a>\u2122 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.<\/p>\n Leading Robot Developers Assemble America\u2019s New Robotic Workforce Figure and NVIDIA announced a collaboration to accelerate next\u2011generation humanoid robotics<\/a>. 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\u2019s most advanced, large\u2011scale humanoid fleet capable of everything from household chores to industrial support.<\/p>\n Agility Robotics<\/a>\u2019 general-purpose humanoid, Digit, uses the NVIDIA Isaac Lab<\/a> framework to refine whole-body control<\/a> through millions of reinforcement learning<\/a> 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<\/a>\u2122 module, enabling real-time perception, navigation and autonomous decision-making.<\/p>\n Amazon Robotics is using Omniverse libraries and frameworks to shorten the development of Amazon\u2019s various manipulation systems and mobile robots, which run on the NVIDIA Jetson<\/a>\u2122 platform, from years to months. Thanks to simulation training, Amazon\u2019s recently announced BlueJay multi-arm manipulator for picking, stowing and consolidating moved from concept to production in just over a year.<\/p>\n Skild AI is building a general-purpose robotics foundation model<\/a> that spans legged, wheeled and humanoid robots, using Isaac Lab for locomotion and dexterous manipulation tasks training and NVIDIA Cosmos<\/a>\u2122 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<\/a>\u2122 for synthetic data generation and software-in-the-loop validation.<\/p>\n AI Infrastructure Accelerates Industrial Digitalization NVIDIA IGX Thor<\/a>\u2122, 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<\/a>.<\/p>\n
\nNVIDIA announced that it is expanding its \u201cMega\u201d NVIDIA Omniverse Blueprint<\/a> for simulating robot fleets to include technologies for designing and simulating factory digital twins<\/a>.<\/p>\n
\nIn 2025, $1.2 trillion in investments toward building out U.S. production capacity was announced \u2014 led by electronics providers, pharmaceutical companies and semiconductor manufacturers. The nation\u2019s leading companies are relying on applications from independent software vendors and Omniverse libraries<\/a> to build robotic factories that can power this wave of industrialization, using physical AI<\/a> and simulation to accelerate manufacturing.<\/p>\n
\nRobotics companies are using NVIDIA\u2019s three-computer architecture<\/a> 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.<\/p>\n
\nNVIDIA 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.<\/p>\n