Manufacturing is at a tipping point. Across every major industrial economy, the shift to AI-driven production is accelerating due to pressure to do more with less through faster design cycles, leaner operations, and the burden of skilled labor.
The question is no longer whether to deploy AI, but how fast and at what scale.
in Hannover Messe 2026will be held from April 20-24 in Hannover, Germany, where NVIDIA and its partners will demonstrate AI-driven manufacturing in action. Attendees will experience how advances in accelerated computing, AI physics, agents, and robotics are driving industrial innovation, from agent design and engineering to real-time simulation, vision AI agents, and humanoid robots in factories.
The factory of the future is more than just a concept. Currently under construction.
AI infrastructure: Powering Europe’s next industrial era
Running AI at scale across the factories and supply chains on which manufacturing production depends requires the right underlying infrastructure. As AI becomes the basis for designing, building, and optimizing products, processes, and equipment, manufacturers need a unified, sovereign foundation that is secure, scalable, and built for industrial scale.
of Industrial AI cloudOne of Europe’s largest AI factories built in Germany by deutsche telekom A blueprint for the future powered by NVIDIA AI infrastructure. It provides a secure and sovereign foundation to accelerate AI and robotics across industries in Europe.
The show was attended by industry leaders including: agile robot, SAP, siemens, physics and Wanderbotwill share how this Sovereign AI platform can be used to run AI-accelerated workloads, from AI physics-driven real-time simulations to factory-scale digital twins and software-defined robotics. Edagua leading independent engineering services provider, also announced that it will run its industrial metaverse platform metys on the Industrial AI Cloud, bringing sovereign AI infrastructure to automotive and industrial engineering at scale.
To support the growing demand for AI infrastructure, Dell Technologies, IBM, lenovo and PNY Also on display are NVIDIA-accelerated systems from the edge to the data center that enable manufacturers to run faster simulations and develop computer vision, AI agents, and robotics to deploy in large-scale production environments.
AI-driven engineering
As industrial systems become more complex, the software that engineers rely on to design, simulate, and test is also being transformed by AI physics and agent AI to keep up. At Hannover Messe, NVIDIA partners are showcasing how AI-powered design and simulation opens up new possibilities.
cadence, Dassault Systèmes, siemens and synopsis We are integrating NVIDIA CUDA-XAI Physics, NVIDIA Omniverse Not only libraries, NVIDIA Nemotron Enable open models across the software to enable real-time physics-based simulation, AI-powered design exploration, and agent workflows to assist engineers.
Real-time factory simulation
Factory-scale digital twins are essential to enable process simulation, real-time operations, and testing and orchestration of robotic fleets. At Hannover Messe, manufacturing, energy and automotive partners will open usdenables customers to design, stress test, and continuously optimize their operations.
ABB NVIDIA Omniverse library and Microsoft Azure Cloud By incorporating the service into the ABB Genix Industrial IoT and AI Suite, operations teams can understand asset performance in full context and collaborate with AI agents to accelerate root cause analysis.
Dassault Systèmes We will demonstrate how the AI-driven factory of the future will be powered by a virtual twin experience. Attendees will see how these virtual twins leverage the NVIDIA Physical AI Library to enable autonomous software-defined production and smarter, more agile manufacturing systems.
kongsberg digital Highlights how integrating the NVIDIA Omniverse library into the Kognitwin platform provides spatial intelligence across critical energy infrastructure. By combining digital twin models, live operational data, and AI agents, customers can analyze complex assets, virtually test scenarios, and optimize performance before changes are reflected in the physical world.
microsoft Shows how the NVIDIA Omniverse library is integrated. microsoft Fabric Real-Time Intelligence and IQ enables physically accurate real-time simulation for organizations to design, simulate, and optimize physical systems. Azure Physics AI Toolchain — Built on NVIDIA Physical AI Data Factory Blueprint − Accelerate the deployment of physical AI and autonomous robots into production.
siemens Integrating the NVIDIA Omniverse library into the Digital Twin Composer solution highlights how multi-domain engineering and operational data is transformed into comprehensive simulation-ready digital twins. This enables customers to achieve increased throughput and identify production issues before physical changes occur.
By combining the Wandelbots NOVA platform with Omniverse libraries such as: NVIDIA Omniverse NuRec, Wanderbot highlights a powerful pathway for digitizing real-world facilities into physically accurate simulations. For a solution like GESSMAN’s GESSbot This opens future opportunities to accelerate commissioning and reduce implementation risks across complex industrial sites.
Introducing AI agents to the factory floor
Traditional AI answers questions under strict conditions. AI agents bring a new level of proactive and adaptive intelligence that analyzes what is happening before taking action.
At the show, attendees will see how the vision AI agent was built. NVIDIA Metropolis The library and Nemotron and NVIDIA Cosmos open models are transforming industrial operations by combining multiple data streams and existing camera infrastructure to reach new levels of quality control, operational efficiency, and worker safety.
invisible AI introduces Vision Execution System, a vision AI system that uses agents to capture, structure, and analyze every production cycle on the factory floor in real time. was built with NVIDIA Metropolis VSS Blueprint and Why NVIDIA Cosmos 2 and Nemotron These autonomous AI agents present actionable insights directly to operators before problems worsen. This class of production intelligence is already delivering tangible benefits in some of the world’s largest automotive manufacturing plants, including: toyota.
tulip interface Factory Playback uses VSS Blueprints and Cosmos Reason 2 to sync machine telemetry, operator workflow, high-quality events, and video into a searchable, contextualized timeline of operations. telexThe global industrial equipment manufacturer with more than 40 plants is expected to use the platform to gain valuable insights and achieve an estimated 3% yield improvement and 10% reduction in rework.
sphere of fog Extend vision AI to the most demanding manufacturing and industrial environments. the vision agent The platform now supports ARM-based edge deployment and training workflows built on NVIDIA Cosmos Reason 2 and Metropolis VSS Blueprints, allowing customers to build and fine-tune visual AI agents. Saipem, Energy and industrial ecosystem engineering services companies can use the platform to Detect and respond to high-risk safety and environmental events in real time.
A machine that can think
AI reasoning frees industrial robots from single-task constraints and time-consuming reprogramming, allowing them to navigate unstructured environments, learn new tasks, and act autonomously. At Hannover Messe, NVIDIA partners are demonstrating robots that perform real production tasks and physical AI frameworks that enable autonomous automation for manufacturers of all sizes.
in siemens Blueprint for an autonomous electronics factory in Erlangen, Germany; Humanoid HMND 01 Wheeled humanoid — moving NVIDIA Jetson Thor Developed using edge AI modules for computing on robots Isaac Sim and isaac lab An open framework for simulation and reinforcement learning — completed an autonomous logistics operation with a first proof of concept in a production environment. humanoid Simulation-first development reduced hardware development that would normally take two years to just seven months.
Schunk’s growth Automation cells bring physical AI into production environments in a standardized and deployable format. The NVIDIA Omniverse library and Isaac simulation framework allow you to simulate, train, and validate robot behavior before the cell goes live. Wanderbots’ NOVA Platform Connect simulation to the manufacturing floor for continuous improvement. EY designs its operating model to be scalable across small and medium-sized enterprises in Europe.
Using NVIDIA’s physical AI stack, Physical AI data factory blueprint and NVIDIA IGX Thor For industrial-grade edge computing with functional safety, hexagon robotics We are accelerating robot training, validation, and deployment. The results are already taking shape, ion Set to perform assembly operations bmw factory In Leipzig — recorded one of the first deployments of humanoid robots in a German production environment.
QNX expands its collaboration with NVIDIA to power safety-critical edge AI systems for robotics, medical, and industrial applications, integrating QNX OS for Safety 8.0 into the NVIDIA IGX Thor and NVIDIA Halos safety stacks..
explore NVIDIA AI technology for industrial and manufacturing By participating NVIDIA at Hannover Messe.
