Case studies
Documented implementations with their sources, deployment status and who reported each result.
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
Danish Centre for AI Innovation (DCAI) · Research and AI infrastructure (sovereign AI)
DCAI Gefion: Denmark's sovereign AI supercomputer on DGX SuperPOD
Gefion, operated by the Danish Centre for AI Innovation, is an NVIDIA DGX SuperPOD with 1,528 H100 GPUs, funded by the Novo Nordisk Foundation and Denmark's export and investment fund. It went live in October 2024, placed 21st on the November 2024 TOP500 list, and now serves researchers and companies.
In production
Deutsche Telekom (T-Systems) · Telecommunications and cloud services
Deutsche Telekom Industrial AI Cloud: an NVIDIA-based AI factory in Munich
Deutsche Telekom opened its Industrial AI Cloud in Munich on 4 February 2026, with nearly 10,000 NVIDIA Blackwell GPUs in DGX B200 systems and RTX PRO Servers. Telekom says it was over a third utilized at opening, with Agile Robots and PhysicsX among early users.
In production
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
Instacart (Maplebear Inc.) · Grocery retail technology
Instacart: Caper smart carts on Jetson and GPU ranking with Dynamo
Instacart runs item recognition on its Caper smart carts with NVIDIA Jetson Orin NX modules and moved online ad and item ranking to NVIDIA GPUs with Dynamo. Published results include 65 percent lower whole-page ranking latency and an incremental sales lift above 1 percent in A/B tests.
Scaling
Mayo Clinic · Healthcare and medical research
Mayo Clinic: a DGX SuperPOD with DGX B200 for pathology foundation models
Mayo Clinic deployed an NVIDIA DGX SuperPOD with DGX B200 systems in July 2025 and says its first work will be building foundation models for pathology, drug discovery and precision medicine. Mayo states the system cuts four weeks of slide analysis and model work to one; no measurement is published.
In production
Moon Surgical · Medical devices (surgical robotics)
Moon Surgical: FDA-cleared ScoPilot camera control running on NVIDIA Holoscan
Moon Surgical's ScoPilot feature lets the laparoscope on its Maestro surgical robot follow a chosen instrument tip, running locally on NVIDIA Holoscan. It received FDA clearance in March 2025; Moon Surgical says Maestro had been used in more than 1,100 patients.
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
Unilever · Consumer goods (marketing content production)
Unilever: product digital twins for marketing imagery with Omniverse and OpenUSD
Unilever builds photoreal 3D twins of its products with NVIDIA Omniverse and OpenUSD, working with creative technology partner Collective World, and renders marketing images from them instead of running repeated photo shoots. Unilever and NVIDIA report imagery made twice as fast at half the cost.
In production
xAI · AI model development
xAI Colossus: Spectrum-X Ethernet for a 100,000-GPU training cluster
xAI's Colossus cluster in Memphis started with 100,000 NVIDIA Hopper GPUs, connected with NVIDIA Spectrum-X Ethernet (SN5600 switches and BlueField-3 SuperNICs) to train Grok models. NVIDIA reports 95 percent data throughput, compared with the 60 percent it attributes to standard Ethernet at this scale.
In production
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