Zayo and Equinix unveiled the industry’s first AI Infrastructure Blueprint, a joint infrastructure architecture framework that defines how next-generation infrastructure powers AI workloads.
AI at scale spans training locations, distributed inference, and network and interconnection nodes that link them. The AI Infrastructure Blueprint provides a clear infrastructure architecture framework for how these pieces fit together: Equinix as the neutral interconnection hubs for connecting networks, training and inference infrastructure; and Zayo as the high-capacity fiber and network services, linking hubs, data sources, and workloads.
The Blueprint includes:
- Validated blueprints at scale: Scalable reference designs that focus on the network elements that matter at scale, reducing trial and error and shortening time to market for AI training and inference.
- Guidance that scales: Practical direction across key network layers and elements, informed by Equinix and Zayo’s cloud connectivity and IP peering experience, to help organizations design for long-term AI growth.
- A shared language for the AI ecosystem: Common terminology that aligns customers, partners, and vendors across the AI networking stack.
Read more here.