Equinix, Inc. has launched Equinix Fabric Intelligence, an AI-native operational layer to manage network infrastructure.
Fabric Intelligence enables enterprises to deploy AI-powered networking across their operations, a shift from legacy software-defined networking design to simplify the complexities of today’s AI workflows. Powering the Equinix Distributed AI Hub, Fabric Intelligence introduces smart automation for deploying, optimising and maintaining global infrastructure, giving organisations a more resilient, efficient and adaptive backbone for their AI workloads.
“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.”
AI thrives in dynamic, connected environments, but many enterprises rely on slow, rigid legacy network architectures that were never designed for the speed and complexity of today’s intelligence systems. As AI adoption continues to accelerate, traditional network operations teams are struggling to keep up. Manual workflows can create bottlenecks, long deployment cycles hamper growth, and visibility gaps compound the challenge. AI demands real-time, adaptive networking – driving a shift to AI-assisted network operations that interpret telemetry and respond dynamically. The result is a widening gap between the speed of AI and the networks expected to support it.
Fabric Intelligence automates how AI workloads connect and operate across clouds, data centers and edge environments. It provides organizations with a smarter way to manage the complexity of AI by automating how their connections are set up, adjusted and maintained across these distributed environments. As a result, distributed systems run reliably without constant manual effort, freeing teams to focus on strategic business priorities, such as building new AI capabilities and scaling operations.
“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.”
Fabric Intelligence provides a suite of AI-native solutions enabling enterprises to design, deploy and manage their infrastructure using intuitive tools like natural language, automated agentic workflows and powerful predictive insights. Combined with Equinix’s global infrastructure of 280 high-performance data centers in 77 metros around the world, Equinix is helping to accelerate enterprise adoption of AI tools and next-generation infrastructure. Earlier this year, Equinix also joined the Agentic AI Foundation (AAIF), the open foundation driving the transparent and collaborative evolution of agentic AI, as a Gold member. This commitment will help build an open, secure and infrastructure‑ready foundation for the global autonomous economy.
Fabric Intelligence, part of the Equinix Fabric portfolio with more than 4,400 customers worldwide, is made up of the following components:
Fabric Super Agent
- An AI superagent that helps customers autonomously manage their networking environments using simple natural language requests through Slack, Microsoft Teams or the Equinix Customer Portal.
- Fabric Super Agent reduces deployment timelines from weeks to minutes, removing the need to navigate complex interfaces or understand APIs by helping users design, deploy and operate their networks with automated recommendations, configuration support and real-time performance insights.
MCP Server
- A set of AI-ready management tools to simplify connecting AI systems to complex networks, enabling high-performance, low-latency service creation and testing.
- Model Context Protocol (MCP) servers let customers integrate with top 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
- 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. This enables secure development and deployment of next-generation AI applications and agentic workflows.
Fabric Insights
- AI-powered network monitoring that analyses real-time telemetry to predict anomalies and manage network health. Integrates directly with security information and event management (SIEM) platforms like Splunk and Datadog as well as Fabric Super Agent.
