Equinix launches AI-native operational layer to manage network infrastructure

Equinix has made Equinix Fabric Intelligence, an AI-native operational layer designed to manage network infrastructure, available to the public.

Fabric Intelligence, part of the Equinix Fabric portfolio, is made up of four components.

The first is Fabric Super Agent, described by the company as an “AI super-agent” that aims to help customers autonomously manage their networking environments using simple natural language requests through Slack, Microsoft Teams or the Equinix Customer Portal.

A set of AI-ready management tools to simplify connecting AI systems to complex networks is included, alongside Model Context Protocol (MCP) servers that let customers integrate with AI clients like Claude Code, OpenAI Codex, VS Code Copilot and Cursor, allowing developers to work with their preferred agents inside their network operations environment.

Fabric Application Connect is a private, dedicated connectivity marketplace that allows enterprises to access AI service providers that offer inference, training, storage, security and other foundational AI components without exposing sensitive data to the public internet, the company states.

Fabric Insights is AI-powered network monitoring that analyses real-time telemetry to predict anomalies and manage network health. The service integrates directly with security information and event management (SIEM) platforms like Splunk and Datadog, as well as Fabric Super Agent.

Jon Lin, chief business officer at Equinix, said all enterprises are focused on leveraging AI to transform their business, but most lack the infrastructure needed to deploy it at scale in ways that drive their growth.

“As agentic AI matures and inferencing applications proliferate across the enterprise, networking infrastructure needs to be faster and more flexible than ever before,” he said.

“Fabric Intelligence turns infrastructure from a constraint to a competitive advantage by enabling our customers to spend less time managing complexity and more time moving their business forward.”