Debuts Fabric Intelligence with real-time awareness and automation for AI and multicloud workloads to enable faster inferencing and edge-to-cloud connectivity
As businesses look to deploy next-generation AI tools, such as AI agents, enterprises need to rethink their existing IT architecture. Equinix’s Distributed AI has been engineered from the ground up to support the scale, speed and complexity of modern intelligent systems—including the evolution from static models to autonomous, agentic AI capable of reasoning, acting and learning independently. Unlike traditional applications, AI is inherently distributed, with distinct infrastructure requirements for training, inferencing and data sovereignty. Meeting these needs requires a new kind of infrastructure globally distributed, deeply interconnected and built for performance at scale. With a fully programmable, AI-optimized network linking 270+ data centers across 77 markets, Equinix is uniquely positioned to unify these environments across geographies, enabling intelligent systems to operate reliably, securely and everywhere they need to be.
“This is the infrastructure AI has been waiting for,” said Jon Lin, Chief Business Officer at Equinix. “As AI becomes more distributed and dynamic, the real challenge is connecting it all securely, efficiently and at scale. That’s where Equinix comes in. Our global platform provides the boundless connectivity enterprises need to move data and inference closer to users, unlock new capabilities and accelerate innovation wherever opportunity exists.”
Key announcements from Equinix’s inaugural AI Summit include:
Fabric Intelligence:
- A software layer that enhances Equinix Fabric®, an on-demand global interconnection service, with real-time awareness and automation for AI and multicloud workloads.
- Available in Q1 2026, Fabric Intelligence integrates with AI orchestration tools to automate connectivity decisions, taps into live telemetry for deep observability, and dynamically adjusts routing and segmentation to optimize performance and simplify network operations. By making the network responsive to workload demands, Fabric Intelligence helps enterprises reduce manual effort, accelerate deployment and keep pace with the scale and speed of AI.
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AI Solutions Lab at Equinix Solution Validation Center® facilities:
- Equinix is launching a global AI Solutions Lab across 20 locations in 10 countries, giving enterprises a dynamic environment to collaborate with leading AI partners.
- Available today, enterprises can use the AI Solutions Lab to connect to the expansive Equinix AI partner ecosystem. This collaboration can help to de-risk AI adoption, co-innovate solutions, and to move faster from idea to operational AI deployment.
Expansion of Equinix’s AI ecosystem:
- Now one of the most comprehensive vendor-neutral AI ecosystems in the industry, with more than 2,000 partners worldwide, making next-generation AI inferencing services discoverable and actionable through the new Fabric Intelligence.
- Providing enterprises access to cutting-edge technology, including the GroqCloud™ platform in Q1 2026, to enable direct, private access to leading-edge inference platforms without custom builds so they can connect and scale AI services faster with enterprise-grade performance and security.
With Equinix’s Distributed AI infrastructure, enterprises will be able to support use cases like real-time decision-making for predictive maintenance in manufacturing, dynamic retail optimization and faster fraud detection in financial services. By enabling AI at the edge and across regions, Equinix helps organizations run scalable, compliant and low-latency AI workloads wherever they’re needed. These products are expected to become available in the first quarter of 2026.
“Enterprises that fail to adopt a distributed AI strategy will find themselves at a competitive disadvantage in an increasingly intelligent and automated world,” said Dave McCarthy, Research Vice President, Cloud and Edge Services, Worldwide Infrastructure Research at IDC. “Equinix’s platform accelerates this shift by offering instant access to AI infrastructure, low-latency cloud connectivity, enhanced data privacy, and proximity to users all within a rich, neutral partner ecosystem.”
“As AI shifts from centralized training to distributed inference, organizations need infrastructure that can support fast, dependable access to compute across regions,” said Ian Andrews, Chief Revenue Officer at Groq. “GroqCloud, together with Equinix‘s platform, enables businesses to run AI workloads closer to where data is generated improving responsiveness and simplifying operations at scale.”
Source: PRNewswire