Turn Distributed Capacity into AI Infrastructure

For service providers, AI creates a familiar strategic question. Will the network carry someone else’s value, or will it become the platform on which that value is created? Inference gives service providers a strong opportunity to choose the second path. They already have assets that the AI economy needs: distributed facilities, power, trusted infrastructure, and reach in the regions where enterprises and governments operate.

Those assets become more valuable when they can operate as one system. An inference request may have suitable capacity near by, yet still travel farther than necessary because the network does not have enough context about the workload. The best destination may depend on latency, available throughput, cost, or a jurisdictional requirement. Conventional reachability alone does not express all those needs.

At NVIDIA GTC Berlin, Cisco is introducing a blueprint for AI Inference Routing, one of several areas where Cisco and NVIDIA are working together for…