Overview

An AI Grid is a set of geographically distributed, interconnected AI infrastructure nodes that operate as a unified intelligence platform. It enables secure placement of workloads where they run best, balancing performance, cost, and latency across sites.

Figure 1. NVIDIA AI Grid reference design overview showing distributed AI infrastructure unified into a single intelligent platform for creating, distributing, and consuming AI services.

The AI Grid is defined by four architectural pillars that transform fragmented infrastructure into a seamless intelligence fabric:

• Distributed: Accelerated computing is embedded across a mesh of telco and content delivery provider sites, moving processing closer to where data is generated and intelligence is consumed.

• Interconnected: A high‑speed, low‑latency networking fabric links these sites so that data, models, and workloads can move efficiently and securely across the grid.

• Orchestrated: An intelligent control plane continuously evaluates SLAs, latency, cost, and policy to perform real‑time, workload‑aware routing and placement.

• Unified: A consistent deployment model ensures that applications behave identically whether they run in a centralized AI factory, a regional hub, or an edge node.