Three announcements from CES and GTC 2026 are worth noting together because they show the same trend from different angles.
PepsiCo announced a multi-year collaboration with Siemens and NVIDIA to rebuild plant and supply chain operations using digital twins and AI. Using Siemens' Digital Twin Composer and NVIDIA Omniverse with computer vision, they recreate every machine, conveyor, and operator path with physics-level accuracy. The actual numbers from early U.S. pilots: 20% increase in throughput, nearly 100% design validation, and 10-15% reductions in capital expenditure.
General Motors announced at GTC 2026 that it's using NVIDIA Omniverse to build digital twins of vehicle production lines. The application covers material handling, transport, and precision welding, with virtual testing happening before physical deployment.
Unilever went a different direction. Working with Collective World and NVIDIA Omniverse, they build photorealistic 3D product models as comprehensive databases covering all variants, languages, lighting setups, and camera angles. Their reported results: 2x faster content creation, 50% lower production costs, and 100% brand consistency across global markets.
What connects them
PepsiCo optimizes factory throughput. GM simulates production lines before building them. Unilever generates marketing assets from a single source of truth. None of these are demos or proofs of concept.
The tooling has converged around NVIDIA Omniverse and Siemens on the simulation side, with Unreal Engine handling interactive visualization and real-time rendering. That split maps to how we've been building enterprise projects since 2014: the game engine handles the visual and interactive layer, the data platform handles the rest.