NVIDIA, Telecom Leaders Build AI Grids to Optimize Inference on Distributed Networks
Nvidia AI Blog / 3/18/2026
📰 NewsDeveloper Stack & InfrastructureSignals & Early TrendsIndustry & Market Moves
Key Points
- AI grids turn telecom networks into geographically distributed computing platforms by running AI inference closer to users, devices, and data, enabling new monetizable AI services at the edge.
- AT&T, Cisco, and NVIDIA are collaborating to build an AI grid for IoT, enabling mission-critical, real-time applications such as public-safety use cases with Linker Vision.
- Operators oversee about 100,000 distributed network data centers and have the potential to unlock more than 100 gigawatts of new AI capacity, transforming existing real estate, power, and connectivity into AI capacity.
- AI-RAN enables full integration of AI into the radio access network as a workload and edge inference platform on the grid.
- This shift is a structural change in how AI is delivered, placing telecom networks at the center of scaling AI rather than merely carrying its traffic.
As AI‑native applications scale to more users, agents and devices, the telecommunications network is becoming the next frontier for distributing AI. At NVIDIA GTC 2026, leading operators in the U.S. and Asia showed that this shift is underway, announcing AI grids — geographically distributed and interconnected AI infrastructure — using their network footprint to power […]
Continue reading this article on the original site.
Read original →
