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The boundaries of AI infrastructure are expanding beyond individual facilities, creating new challenges for connectivity across campuses and regional deployments. Different environments introduce different priorities, from maximizing fiber capacity between nearby buildings to maintaining resilient, high-capacity links across much longer routes. While the objective remains the same, connecting AI resources efficiently, the solutions needed can vary depending on the distance involved. Choosing the right connectivity approach starts with understanding the unique constraints of each environment. Key topics of discussion include:

• Why extending AI infrastructure across geography requires a different approach to network design
• How connectivity requirements evolve from campus to regional and long-haul AI deployments
• Practical approaches to increasing capacity while simplifying deployment
• How established and emerging fiber technologies address different connectivity challenges