Equinix launches Fabric Intelligence for AI networking

Equinix has launched Fabric Intelligence, an AI-native platform for managing network infrastructure. The product is part of its Distributed AI Hub.

The offering targets enterprises running AI workloads across clouds, data centres and edge environments, where network operations are often still managed through manual processes and older software-defined systems. Fabric Intelligence adds automation and agentic AI tools intended to simplify deployment, optimisation and maintenance across distributed environments.

It sits within the Equinix Fabric portfolio, which serves more than 4,400 customers worldwide. It also draws on Equinix's footprint of 280 data centres across 77 metropolitan areas, giving customers access to infrastructure designed to support AI applications in multiple regions.

Automation Shift

The launch reflects a broader shift in how companies are supporting AI systems. As businesses move more AI training, inference and data processing into multi-cloud and hybrid environments, network teams are under pressure to manage higher traffic volumes, more endpoints, and stricter requirements for speed and reliability.

Fabric Intelligence is designed to automate how AI workloads connect and operate across different environments. That reduces the need for constant manual intervention and allows technology teams to focus on broader operational and development work.

According to Omdia, demand for network automation is rising as organisations adapt to AI-led operating models. "The whole concept of AI is to make processes faster, and manual processes for network monitoring and management are difficult, if not impossible, to scale effectively," said Jim Frey, principal analyst at Omdia.

"Our research shows 93% of organisations agree that network automation will be essential for keeping pace with future change, and 88% also agree that AI itself will be required for effective network automation. With Fabric Intelligence, Equinix is providing enterprises the AI-driven control plane for deploying, activating, and managing multi-cloud networking, to help them meet the scale and automation needs of the distributed AI era," Frey said.

Product Components

The platform includes several components focused on network operations and connectivity.

One element, Fabric Super Agent, is an AI agent that lets customers manage networking environments through natural language requests in Slack, Microsoft Teams or the Equinix customer portal. Equinix says this can cut deployment timelines from weeks to minutes by allowing users to design, deploy and run networks without relying on complex interfaces or direct API work.

Another component, MCP Server, is a set of management tools intended to connect AI systems to complex networks. It supports integration with AI development clients including Claude Code, OpenAI Codex, VS Code Copilot and Cursor, allowing developers to work within their preferred software environment.

Fabric Application Connect is positioned as a private connectivity marketplace through which enterprises can reach AI service providers for inference, training, storage and security services without exposing sensitive data to the public internet. The approach is intended to support the secure development and deployment of AI applications and agentic workflows.

The fourth main component, Fabric Insights, provides AI-based network monitoring using real-time telemetry to identify anomalies and track network health. It integrates with security information and event management platforms including Splunk and Datadog, as well as with Fabric Super Agent.

Enterprise Demand

Equinix is pitching the platform at businesses that want to expand their use of AI but lack infrastructure that can scale with it. That challenge has become more visible as AI systems move from pilot projects into broader use in core operations, where network delays, fragmented visibility and long deployment cycles can become operational constraints.

"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," said Jon Lin, chief business officer at Equinix.

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

Fabric Intelligence is currently available in preview.