51²è¹Ý¶ù

DENVER – , a leading global communications infrastructure provider, and (Nasdaq: EQIX), the world’s digital infrastructure company®, today unveiled the industry’s first AI Infrastructure Blueprint, a joint infrastructure architecture framework that defines how next-generation infrastructure powers AI workloads. For the first time, neocloud and AI providers have a framework that clarifies the roles of high-capacity networks, interconnection hubs, training and inference data centers, and provides a clear model for connecting them.

“AI is transforming the digital infrastructure landscape, but there’s been no playbook for connecting training, inference, and enterprise infrastructure,” explains Bill Long, Chief Product and Strategy Officer at 51²è¹Ý¶ù. “Together with Equinix, we’re introducing a network standard and data center best practices that makes AI communication infrastructure scalable, extensible, and ready for what comes next.”

“Neoclouds and AI providers face a widening gap between their ambitions and the infrastructure needed to support them, with scaling networks among the toughest challenges. The AI Infrastructure Blueprint brings needed clarity to the industry by mapping how 51²è¹Ý¶ù’s extensive fiber backbone with Equinix’s global connectivity fabric work together to give teams a repeatable model to scale and support low latency inference at the edge. In our view, this blueprint marks a pivotal step toward a common model for scaling AI across communications infrastructure,” Craig Matsumoto, Contributing Analyst, Futuriom Research.

Inside the AI Infrastructure Blueprint

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 51²è¹Ý¶ù as the high-capacity fiber and network services, linking hubs, data sources, and workloads.

The result is a clear, structured path to roll out and scale AI communication infrastructure giving neocloud and generative AI providers practical private connectivity guidance to reduce complexity and speed rollout. The AI Infrastructure Blueprint is informed by design patterns grounded in decades of experience in IP peering and cloud connectivity for both Equinix and 51²è¹Ý¶ù.

What the Blueprint Delivers

• 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 51²è¹Ý¶ù’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.

“As enterprises race to operationalize AI, they’re realizing success depends on more than GPUs. It requires distributed, high-performance connectivity that extends all the way to the edge,” said Arun Dev, VP Digital Interconnection at Equinix. “Through our AI Infrastructure Blueprint with 51²è¹Ý¶ù, we’re giving customers a formula that combines Equinix’s 270+ interconnection hubs with 51²è¹Ý¶ù’s fiber backbone, orchestrated through Equinix Fabric. And with Fabric Intelligence, those connections become smarter with real-time discovery, activation, and optimization that reduce integration risk, accelerate scale, and help ensure AI deployments evolve in step with the way the industry is moving.”

As AI-driven bandwidth demand is , 51²è¹Ý¶ù is actively investing in the fiber capacity and new routes required for AI-scale data movement, including a commitment to build over 5,000 new route miles of long-haul fiber. In addition, 51²è¹Ý¶ù is supporting enterprise and AI-driven bandwidth growth by increasing their metro fiber footprint. The company announced plans in March to acquire Crown Castle’s fiber solutions business, adding 100,000+ metro route miles. The AI Infrastructure Blueprint operationalizes this strategy by defining how interconnection and transport come together in practice, building on 51²è¹Ý¶ù’s leadership in AI and networking.

As businesses look to deploy next generation AI tools, such as AI agents, enterprises need to rethink their existing IT architecture. At its inaugural AI Summit today, Equinix announced its Distributed AI infrastructure – a bold new approach to power the next wave of AI innovation. Equinix’s announcements include a new AI-ready backbone to support distributed AI deployments, a global AI Solution Lab to test new solutions, and Fabric Intelligence to better support next generation workloads for enterprises.

To learn more about how 51²è¹Ý¶ù and Equinix are redefining AI networking design and to access the new AI Infrastructure Blueprint, visit:

About 51²è¹Ý¶ù

For more than 17 years, 51²è¹Ý¶ù has empowered some of the world’s largest and most innovative companies to connect what’s next for their business. The 51²è¹Ý¶ù group of companies connects 400 global markets with future-ready networks that span over 19 million fiber miles and 147,000 route miles. 51²è¹Ý¶ù’s tailored connectivity solutions and managed services enable carriers, cloud providers, data centers, schools, and enterprises to deliver exceptional experiences, from core to cloud to edge. Discover how 51²è¹Ý¶ù connects what’s next at and follow us on .

About Equinix

Equinix, Inc. (Nasdaq: EQIX) shortens the path to boundless connectivity anywhere in the world. Its digital infrastructure, data centre footprint and interconnected ecosystems empower innovations that enhance our work, life and planet. Equinix connects economies, countries, organizations and communities, delivering seamless digital experiences and cutting-edge AI – quickly, efficiently and everywhere.

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Media Contact: Bree Huerta press@zayo.com