Digital infrastructure firm Equinix has launched a new platform called the Distributed AI Hub, aimed at helping enterprises manage and secure increasingly complex artificial-intelligence systems across multiple environments.
The company said the hub provides a unified framework for connecting AI infrastructure providers — including model developers, GPU cloud platforms, data services, and networking and security tools — through private, low-latency connectivity across its global network of 280 data centers.
Equinix said enterprises are increasingly deploying AI systems across different locations such as public clouds, private data centers, and edge environments, creating fragmented workflows that can slow innovation and complicate governance.
The new hub is intended to allow organizations to run AI workloads where they perform best without having to redesign their architecture or move large volumes of data.
“AI isn’t centralized — but the right infrastructure can make it run as seamlessly as if it were,” said Jon Lin, chief business officer at Equinix.
“Equinix is the neutral ground where AI, cloud and networking infrastructure converge. We are providing enterprises the freedom to build and scale AI wherever their data, partners, and teams already live, while running inference close to the data and users that depend on it, without the operational drag that comes from stitching together complex, distributed systems.”
The Distributed AI Hub also integrates with Palo Alto Networks’ Prisma AIRS platform to provide real-time security monitoring for AI workloads and interactions with external tools and data sources.
The security service will also be available through Equinix Network Edge so companies can manage AI-driven security closer to users and applications.
Industry analysts say enterprises are moving toward distributed infrastructure to support AI applications.
“Enterprises are racing to deploy agentic AI but are finding that their existing infrastructure was never designed for the complexities of distributed intelligence,” said Mary Johnston Turner, research vice president for digital infrastructure strategies at IDC, noting that the firm expects 80% of enterprises to deploy distributed edge infrastructure by 2027 to improve AI performance and responsiveness.
The Distributed AI Hub is now available globally across Equinix’s 280 data-center locations, allowing companies to deploy AI infrastructure using a consistent architecture worldwide.
