Manufacturing is at an inflection point. Across every major industrial economy, the pressure to do more with less - due to faster design cycles, leaner operations and strain on skilled labor pools - is accelerating the shift to AI-driven production.
The question is no longer whether to adopt AI, but how fast and at what scale.
At Hannover Messe 2026, running April 20-24 in Hannover, Germany, NVIDIA and its partners are demonstrating AI-driven manufacturing in action. Attendees will experience how advancements in accelerated computing, AI physics, agents and robotics are powering industrial innovation - from agentic design and engineering to real-time simulation, vision AI agents and humanoid robots operating in factories.
The factory of the future isn't just a concept. It's being built now.
AI Infrastructure: Powering Europe's Next Industrial Era Running AI at scale across the factories and supply chains that manufacturing output relies on requires the right underlying infrastructure. As AI becomes foundational to how products, processes and facilities are designed, built and optimized, manufacturers need a unified, sovereign foundation that's secure, scalable and built for industrial scale.
The Industrial AI Cloud, one of Europe's largest AI factories built in Germany by Deutsche Telekom on NVIDIA AI infrastructure, is a blueprint for the future. It provides a secure, sovereign foundation for accelerating AI and robotics across Europe's industries.
At the show, industry leaders, including Agile Robots, SAP, Siemens, PhysicsX and Wandelbots, will share how they are using this sovereign AI platform to run AI-accelerated workloads ranging from AI physics-driven, real-time simulation to factory-scale digital twins and software-defined robotics. EDAG, a leading independent engineering service provider, also announced it will be running its industrial metaverse platform, metys, on the Industrial AI Cloud - bringing sovereign AI infrastructure to automotive and industrial engineering at scale.
To support the increasing demand for AI infrastructure, Dell Technologies, IBM, Lenovo and PNY are also showcasing NVIDIA-accelerated systems, from the edge to data centers, enabling manufacturers to run faster simulations and develop and deploy computer vision, AI agents and robotics in production at scale.
AI-Driven Engineering As industrial systems grow more complex, the software that engineers rely on to design, simulate and test them is being transformed with AI physics and agentic AI to keep pace. At Hannover Messe, NVIDIA partners are showcasing how AI-accelerated design and simulation is unlocking new possibilities.
Cadence, Dassault Syst mes, Siemens and Synopsys are integrating NVIDIA CUDA-X, AI physics and NVIDIA Omniverse libraries, as well as NVIDIA Nemotron open models, across their software - enabling real-time, physics-grounded simulation, AI-powered design exploration and agentic workflows that empower engineers.
Real-Time Factory Simulation Factory-scale digital twins are critical for unlocking process simulation, real-time operations, and the testing and orchestration of robot fleets. At Hannover Messe, partners across manufacturing, energy and automotive are showing how digital twins, built on Omniverse libraries and OpenUSD, enable their customers to design, stress-test and continuously optimize their operations.
ABB will showcase how the integration of NVIDIA Omniverse libraries and Microsoft Azure cloud services into its ABB Genix Industrial IoT and AI Suite enables operations teams to understand asset performance in full context and engage AI agents to accelerate root-cause analysis.
Dassault Syst mes will demonstrate how AI-driven factories of the future are powered by virtual twin experiences. Attendees will see how these virtual twins harness NVIDIA physical AI libraries to enable autonomous, software-defined production and smarter, agile manufacturing systems.
Kongsberg Digital will highlight how integrating NVIDIA Omniverse libraries into its Kognitwin platform delivers spatial intelligence across critical energy infrastructure. The combination of digital twin models, live operational data and AI agents enables its customers to analyze complex assets, test scenarios virtually and optimize performance before changes reach the physical world.
Microsoft is demonstrating how NVIDIA Omniverse libraries integrated with Microsoft Fabric Real-Time Intelligence and IQ enable physically accurate, real-time simulations for organizations to design, simulate and optimize physical systems, while the Azure Physical AI Toolchain - built on the NVIDIA Physical AI Data Factory Blueprint - accelerates the deployment of physical AI and autonomous robots into production.
Siemens will highlight how integrating NVIDIA Omniverse libraries into its Digital Twin Composer solution turns multi-domain engineering and operational data into a comprehensive, simulation-ready digital twin - helping its customers deliver throughput gains and identify production issues before physical changes.
By combining the Wandelbots NOVA Platform with Omniverse libraries such as NVIDIA Omniverse NuRec, Wandelbots highlights a powerful pathway to digitalize real-world facilities into physically accurate simulations. For solutions like Gessmann's GESSbot robots, this opens up future opportunities to accelerate commissioning and reduce deployment risks across complex industrial sites.
Bringing AI Agents to the Factory Floor Traditional AI answers problems under a rigid set of conditions. AI agents bring a new level of proactive and adaptive intelligence that provides the context on what's seen and analyzes what's happening before taking action.
At the show, attendees will see how vision AI agents built on NVIDIA Metropolis libraries along with Nemotron and NVIDIA Cosmo
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Manufacturing is at an inflection point. Across every major industrial economy, the pressure to do more with less - due to faster design cycles, leaner operations and strain on skilled labor pools - is accelerating the shift to AI-driven production. 
