Ever wonder how cities actually get "smart"? It's all about the data infrastructure underneath.

Linker Vision's approach is pretty interesting - they're leveraging NVIDIA's full stack (Metropolis for vision AI, Cosmos for world modeling, and Omniverse for simulation environments) to build connected urban systems. The workflow they're using goes: simulate scenarios first, train AI models on that simulated data, then deploy the agents into real-world operations.

What makes this notable is the closed-loop methodology. Instead of jumping straight to deployment and hoping for the best, they're stress-testing everything in virtual environments first. That simulate-train-deploy cycle means fewer surprises when AI systems hit actual city infrastructure.

The shift from static city planning to data-responsive systems is accelerating. These aren't just dashboards - we're talking autonomous agents making real-time decisions about traffic flow, resource allocation, and infrastructure optimization.