Could a digital twin improve your operations?

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Published case studies

• BMW Group · Automotive manufacturing

  BMW Group: planning car plants in an Omniverse-based Virtual Factory

  BMW Group plans and checks its car plants in a Virtual Factory built on NVIDIA Omniverse and OpenUSD. BMW says digital twins now cover more than 30 production sites, cut collision checks for new models from almost four weeks to about three days, and are projected to lower planning costs by up to 30 percent.

  Scaling

• Foxconn (Hon Hai Technology Group) · Electronics manufacturing

  Foxconn: digital twins for new server plants with Omniverse, Isaac and Metropolis

  Foxconn uses NVIDIA Omniverse digital twins to plan production lines, Isaac to simulate robots and Metropolis for camera-based monitoring, from Hsinchu to new server plants in Mexico and the US. Most published results are expectations, such as a forecast energy cut of over 30 percent in Mexico.

  In production

• PepsiCo, with Siemens · Food and beverage manufacturing and logistics

  PepsiCo and Siemens: plant and warehouse twins with Digital Twin Composer on Omniverse

  PepsiCo is converting selected US plants and warehouses into 3D digital twins with Siemens Digital Twin Composer, which Siemens builds on NVIDIA Omniverse libraries. PepsiCo and Siemens report a 20 percent throughput gain on the first deployment; the program is in early pilots.

  Pilot

Use case guides

• Build a smart factoryCombine a physically accurate digital twin of the plant, vision AI on the line and simulation-trained robots to plan layouts, catch defects and test changes before they reach the real factory floor.

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Published case studies

• PepsiCo, with Siemens · Food and beverage manufacturing and logistics

  PepsiCo and Siemens: plant and warehouse twins with Digital Twin Composer on Omniverse

  PepsiCo is converting selected US plants and warehouses into 3D digital twins with Siemens Digital Twin Composer, which Siemens builds on NVIDIA Omniverse libraries. PepsiCo and Siemens report a 20 percent throughput gain on the first deployment; the program is in early pilots.

  Pilot

Use case guides

• Warehouse digital twinA simulation of a warehouse's layout, robots, people and flows used to test slotting, fleet sizes and safety rules, and to train and check the AI that runs on site, before anything changes in the real building.
• Logistics optimizationPlan delivery routes, fleet assignments and schedules with mathematical optimization and rerun plans quickly when orders, vehicles or road conditions change, using GPU-accelerated solvers alongside existing planning systems.

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Use case guides

• Traffic managementUse intersection cameras, vision AI and corridor simulation to count traffic, detect incidents and test signal or layout changes, under strict privacy, transparency and public accountability rules.
• Video analyticsTurn camera streams into events, alerts, searchable footage and summaries using real-time detection and tracking plus vision language models, with privacy rules decided before the first camera is connected.

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Use case guides

• Simulate an AI data centerModel an AI data center's network, power, cooling and layout in software before hardware arrives, to find design conflicts early, test automation and plan how many GPUs fit within a fixed power budget.
• Build an AI factoryPlan, build and run a dedicated GPU cluster for training, fine-tuning and inference, treating compute, network, storage, power, cooling, scheduling and day-two operations as one system rather than separate purchases.

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Published case studies

• Foxconn (Hon Hai Technology Group) · Electronics manufacturing

  Foxconn: digital twins for new server plants with Omniverse, Isaac and Metropolis

  Foxconn uses NVIDIA Omniverse digital twins to plan production lines, Isaac to simulate robots and Metropolis for camera-based monitoring, from Hsinchu to new server plants in Mexico and the US. Most published results are expectations, such as a forecast energy cut of over 30 percent in Mexico.

  In production

Use case guides

• Build autonomous robotsDevelop robots that perceive, plan and act in changing surroundings by training and testing their behavior in simulation, then running perception and control on an onboard edge computer.