Equinix, a digital infrastructure company, has introduced its Distributed AI infrastructure to help enterprises manage the growing demands of artificial intelligence (AI). The announcement was made during the company’s first AI Summit, where it outlined new products and services designed to support the development and deployment of advanced AI systems, including agent-based AI.
The Distributed AI framework includes three main components: an AI-ready backbone, a global AI Solutions Lab, and Fabric Intelligence, a software layer to optimize connectivity for AI workloads. Equinix said the infrastructure was designed to address the unique requirements of training, inferencing, and data management across multiple regions.
“As AI becomes more distributed and dynamic, the real challenge is connecting it all securely, efficiently and at scale,” said Jon Lin, chief business officer at Equinix. “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.”
Fabric Intelligence, which will be available in the first quarter of 2026, is designed to automate connectivity decisions and improve network performance for AI and multicloud deployments. The system integrates with orchestration tools, uses live telemetry for monitoring, and adjusts routing dynamically to help enterprises reduce manual work and speed up deployment.
Equinix is also launching a global AI Solutions Lab, located in 20 sites across 10 countries. The lab provides a testing environment for enterprises to collaborate with AI partners, co-develop solutions, and reduce risks associated with adoption. This initiative builds on the company’s ecosystem of more than 2,000 partners, which includes technology providers, cloud platforms, and AI service vendors.
Equinix said it will offer enterprises access to emerging technologies such as the GroqCloud platform starting in 2026. The company said this will allow direct, private access to inference platforms without the need for custom integration, helping organizations scale more quickly with enterprise-grade security.
Equinix expects its Distributed AI infrastructure to support applications such as predictive maintenance in manufacturing, dynamic optimization in retail, and fraud detection in financial services. The offerings are scheduled to roll out in early 2026.