AI inference demands more dynamic connectivity: Here’s the opportunity for service providers

As AI adoption drives rapid growth in inference alongside continued training demand, enterprise traffic is becoming more distributed, dynamic, and unpredictable. Ciena’s Paulina Gomez explores how service providers can respond with more agile, on-demand connectivity to turn the evolving needs of AI into a new growth opportunity.

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Video

Understanding scale-up and scale-out networks

AI model training depends on dedicated networking architectures designed for different performance requirements. In this video, Spencer Giacalone, Senior Director of Cloud and AI Architecture, explains the roles of scale-up and scale-out networks, why both are essential for AI infrastructure, and how technologies such as NVLink, RoCEv2, and emerging standards enable efficient, high-performance AI networks. He also discusses how Ciena’s Nitro and Vesta products support next-generation XPU connectivity.

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Webinar

The next phase of AI connectivity: How CSPs can capitalize on emerging demand with NTT, Omdia, and Ciena

In this webinar, explore how AI demand is driving new connectivity requirements across edge, metro, and long-haul networks—from high-capacity wavelength services and dedicated AI connectivity to flexible, on-demand service offerings.

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Application Note

Enabling data center connectivity with coherent routing

Explore five practical use cases for enabling data center and AI-driven deployments with coherent routing. Covering colocation providers, service providers, enterprises, and neoscalers, this application note connects market shifts such as AI growth, cloud expansion, and expanding data center footprints to specific network architectures and deployment approaches.

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