How Distributed AI Training Changes the Network Between Datacenters

Large-scale AI training is spreading across multiple datacenters, with Google, Microsoft, AWS, Meta, and CoreWeave cited as examples. Because synchronized GPU clusters must exchange data in bursts, inter-site links can become a bottleneck, which Cisco estimates may require aggregate bandwidth about 14x a conventional DCI baseline.