Physical AI—AI systems that perceive, reason, and act in physically grounded simulated environments—is changing how teams design and validate robots and industrial systems, long before anything ships to the factory floor. At GTC 2026 , NVIDIA highlighted physical AI as a key direction for robotics and digital twins , where policies are trained and validated against physically grounded environments. To make NVIDIA Omniverse easier to integrate into existing applications, NVIDIA is adding a modular, library‑based architecture alongside the existing platform. Core Omniverse components—RTX rendering, PhysX‑based simulation, and data storage pipelines—are being exposed as standalone, headless‑first C APIs with C++ and Python bindings: ovrtx , ovphysx , and ovstorage .…