06/16/2026
The race to build larger, faster AI infrastructure is accelerating every day. Hyperscalers are spending tens of billions of dollars on GPU clusters, custom silicon, and data center campuses. But one challenge is moving interconnection to the center of every serious infrastructure conversation.The network connecting your compute is no longer a secondary concern. For AI workloads, it is the constraint that determines whether your hardware investment actually delivers. The race to build larger, faster AI infrastructure is accelerating every day. Hyperscalers are spending tens of billions of dollars on GPU clusters, custom silicon, and data center campuses. But one challenge is moving interconnection to the center of every serious infrastructure conversation.The network connecting your compute is no longer a secondary concern. For AI workloads, it is the constraint that determines whether your hardware investment actually delivers. The race to build larger, faster AI infrastructure is accelerating every day. Hyperscalers are spending tens of billions of dollars on GPU clusters, custom silicon, and data center campuses. But one challenge is moving interconnection to the center of every serious infrastructure conversation.The network connecting your compute is no longer a secondary concern. For AI workloads, it is the constraint that determines whether your hardware investment actually delivers. The race to build larger, faster AI infrastructure is accelerating every day. Hyperscalers are spending tens of billions of dollars on GPU clusters, custom silicon, and data center campuses. But one challenge is moving interconnection to the center of every serious infrastructure conversation.The network connecting your compute is no longer a secondary concern. For AI workloads, it is the constraint that determines whether your hardware investment actually delivers. Learn more here: https://zurl.co/0uLFC
If you are building hyperscale AI infrastructure and the network is part of the conversation, FD-IX.ai is worth talking to early