To make 6G a reality, the telecom industry must overcome a fundamental challenge: how to design, train, and validate AI-native networks that are too complex to be tested in the physical world.
The NVIDIA Aerial Omniverse Digital Twin (AODT) solves this by enabling a continuous integration/continuous development (CI/CD)-style workflow where Radio Access Network (RAN) software is trained, simulated, and validated in a physics-accurate environment before field deployment. As discussed in a recent post, this approach bridges the gap between statistical models and real-world network performance.
But the usability of any technology is as important as the technology itself. That’s why NVIDIA designed AODT not just as a powerful simulation platform, but with a modular and accessible architecture that partners and developers can easily integrate into their own workflows.
Within two years of its launch, AODT’s modular architecture is growing an ecosystem of commercial partner products, making high-fidelity simulation accessible from desktops to the cloud. This blog post spotlights five NVIDIA partners using the modular AODT platform to build commercial solutions. From RAN digital twins and cloud-scale channel simulations to high-fidelity network planning, these solutions provide a unified foundation to plan, build, and test AI-native 6G networks.
