Equinix has unveiled a new Distributed AI Infrastructure to help enterprises accelerate AI adoption. It connects training and inference workloads more efficiently across global locations.
Announced at the company’s inaugural AI Summit, the platform brings together an AI-ready backbone, enhanced Fabric Intelligence software, and a network of geographically distributed AI Solutions Labs. These labs span 20 locations across 10 countries. Equinix says the initiative reflects the shift from monolithic, centralised infrastructure to inherently distributed AI systems. These systems require low-latency connectivity, secure data handling, and scalable networking.
“This is the infrastructure AI has been waiting for. As AI becomes more distributed and dynamic, the real challenge is connecting it all—securely, efficiently and at scale,” Jon Lin, Chief Business Officer at Equinix said.
The new capabilities will leverage Equinix’s 270+ data centres in 77 markets. This will provide enterprises with proximity to data sources, users, and ecosystem partners. Fabric Intelligence, expected in Q1 2026, will add real-time automation, routing optimisation, and AI-aware orchestration. These features will enhance Equinix’s existing interconnection fabric.
Customers will also gain private access to inference platforms such as GroqCloud. Ian Andrews, Chief Revenue Officer at Groq, described it as enabling businesses to “run AI workloads closer to where data is generated.” This improves responsiveness and simplifies operations at scale.
The initiative positions Equinix as a neutral, foundational player in the global AI race, bridging the gap between hyperscale cloud providers, AI model developers, and enterprise users.