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New Whitepaper

The proximity paradox – Businesses are rethinking networks and infrastructure for emerging technologies

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For providers of network services and connectivity, aligning deployments at core and edge locations with AI-ready infrastructure can reduce latency and position networks at the center of emerging AI ecosystems. This whitepaper examines why placing digital infrastructure closer to users and clouds is essential for next-generation AI, managed network services and enterprise connectivity.

Highlights:

  • Proximity ensures faster AI performance and reduced latency, helping service providers tap new growth opportunities cost-efficiently and securely.
  • Edge infrastructure supports real-time data processing, empowering innovations and value-added services for your customers.
  • Real-life example: How Verizon drives competitive advantage with Equinix’s hybrid multicloud networking solutions to empower its 5G and smart delivery services.
Proximity isn’t just about speed; it’s the catalyst for AI innovation and operational breakthroughs across industries.
The proximity paradox
Equinix Whitepaper, April 2025

Frequently Asked Questions

 

The distance between users, data and compute directly affects latency and user experience, which are core metrics for your managed network services. Infrastructure proximity is key to delivering high-performance enterprise connectivity.

By deploying AI-ready infrastructure closer to data sources and interconnection points, you can support demanding AI workloads for your customers while maintaining predictable performance and efficient resource use.

Equinix’s hybrid multicloud networking solutions allow service providers to interconnect multiple clouds and edge locations on a consistent platform. This ensures traffic takes the most efficient, low-latency path between AI applications and users.

Yes. Locating network infrastructure near key markets enables service providers to offer differentiated edge, cloud and AI connectivity services tailored to local performance needs, creating new revenue streams.

Assessing where latency matters most and identifying workloads that require AI-optimized environments is crucial. Service providers should determine how to extend secure, high-performance connectivity across core, edge and multicloud locations without adding operational complexity.

Hybrid Multicloud Networking Edge Computing Digital Transformation