Equinix launches Fabric Intelligence, an AI-native platform for managing network infrastructure. This product is part of the Decentralized AI Hub.
The product is targeted at enterprises running AI workloads across cloud, datacenter, and edge environments, where network operations are often still managed by manual processes or legacy software-defined systems. Fabric Intelligence adds automation and agent AI tools aimed at simplifying deployment, optimization, and maintenance across distributed environments.
It is part of the Equinix Fabric portfolio, which serves more than 4,400 customers worldwide. It also leverages Equinix’s footprint of 280 data centers in 77 metropolitan areas, giving customers access to infrastructure designed to support AI applications in multiple regions.
automation shift
The announcement reflects a broader shift in how companies support AI systems. As enterprises move AI training, inference, and data processing to multicloud and hybrid environments, network teams are under pressure to manage higher traffic volumes, more endpoints, and more stringent requirements for speed and reliability.
Fabric Intelligence is designed to automate how AI workloads connect and operate across different environments. This reduces the need for ongoing manual intervention and allows technology teams to focus on broader operational and development efforts.
According to Omdia, demand for network automation is increasing as organizations adapt to AI-driven operating models. “The whole idea of AI is to speed up processes, and manual processes for network monitoring and management are difficult, if not impossible, to scale effectively,” said Jim Frey, Principal Analyst at Omdia.
“According to our research, 93% of organizations agree that network automation is essential to meet future change, and 88% of organizations agree that effective network automation requires AI itself. With Fabric Intelligence, Equinix provides enterprises with an AI-driven control plane for deploying, activating, and managing multicloud networking, helping them meet the scale and automation needs of the distributed AI era,” said Fry.
product components
This platform includes several components focused on network operations and connectivity.
One element, Fabric Super Agent, is an AI agent that allows customers to manage their network environments through natural language requests in Slack, Microsoft Teams, or the Equinix customer portal. Equinix says this enables users to design, deploy and run networks without relying on complex interfaces or direct API work, reducing deployment timelines from weeks to minutes.
Another component, MCP Server, is a set of management tools aimed at connecting AI systems into complex networks. It supports integration with AI development clients such as Claude Code, OpenAI Codex, VS Code Copilot, and Cursor, allowing developers to work in their preferred software environment.
Fabric Application Connect is positioned as a private connectivity marketplace where enterprises can access AI service providers to provide inference, training, storage, and security services without exposing sensitive data to the public internet. This approach aims to support the secure development and deployment of AI applications and agent workflows.
The fourth major component, Fabric Insights, provides AI-based network monitoring with real-time telemetry to identify anomalies and track network health. It integrates with security information and event management platforms such as Splunk and Datadog, as well as Fabric Super Agent.
enterprise demand
Equinix is marketing the platform to companies that want to expand their use of AI but lack the infrastructure to scale with it. As AI systems move from pilot projects to widespread use in core operations, the challenges become more pronounced, with network delays, fragmented visibility, and long deployment cycles potentially becoming operational constraints.
“Every company is focused on leveraging AI to transform their business, but most lack the infrastructure needed to deploy AI at scale in a way that drives growth,” said John Lin, chief business officer at Equinix.
“As agent AI matures and inference applications proliferate across the enterprise, networking infrastructure must become faster and more flexible than ever before. Fabric Intelligence transforms infrastructure from a constraint to a competitive advantage by enabling customers to spend less time managing complexity and more time driving their business,” said Lin.
Fabric Intelligence is currently available in preview.
