By launching an AI-native operational layer to manage network infrastructure, Equinix’s new Fabric Intelligence offering aims to enable businesses to deploy AI-powered networking across their operations.
This is a shift away from legacy software-defined networking design to simplify the complexities of today’s AI workflows, Equinix said. The product is designed to introduce smart automation for deploying, optimising and maintaining global infrastructure.
The end goal? To offer organisations a more resilient, efficient and adaptive backbone for their AI workloads.
“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. “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.”
Equinix Fabric Intelligence arrives as global interest in agentic AI and AI agents has piqued. These autonomous agents can manage networking environments, often without human intervention, to improve efficiencies and resilience for customers.
McKinsey has already predicted that AI agents could add US$2.6 to $4.4 trillion in value annually across various business use cases.
Likewise, according to Omdia, 93% of organisations have agreed that network automation will be necessary for keeping pace with future change. 88% surveyed by Omdia agreed that AI itself will be critical for effective network automation.
“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.
He added: “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.”
Inside Fabric Intelligence, the Fabric Super Agent is designed to help customers autonomously manage their networking environments. It uses simple natural language requests through Slack and Microsoft Teams platforms, or the Equinix customer portal.
The company said the agent will successfully reduce deployment timelines from weeks to minutes and remove the need for workers to use complex interfaces.
Fabric Intelligence perhaps also speaks to how the networking sector continues to rely on legacy architectures that slow innovation progress down. With AI surging worldwide, operators are having to confront processes and infrastructure that wasn’t designed for today’s speeds.
“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,” Equinix said via its announcement. “AI demands ‑real-time, adaptive networking—driving a shift to AI-assisted network operations that interpret telemetry and respond dynamically.”
It added: “The result is a widening gap between the speed of AI and the networks expected to support it.”
Providing a suite of AI-native solutions, Equinix hopes that businesses can better deploy and manage their infrastructure and gain better insights. Alongside its global portfolio of data centres, the company is powering up its AI advancements – having recently joined the Agentic AI Foundation (AAIF) to drive transparent and collaborative developments in agentic AI.
Lin added: “As agentic AI matures and inferencing applications proliferate across the enterprise, networking infrastructure needs to be faster and more flexible than ever before.”
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