Cloud-native AI infrastructure faces a "physical wall" of power and land limits. To solve this, NTT and SKT built a "Nationwide GPU Fabric", merging a 1,000km+ high-speed L2 network (IOWN APN) with Kubernetes and KubeVirt to operate distributed DCs (Sapporo to Fukuoka) as a single cluster.

We deep-dive into the architecture, performance, and future of GPU orchestration beyond a single DC.

- Distributed vs. Traditional DCs: Achievable workloads and trade-offs across a 1,000km+ fabric from Sapporo to Fukuoka.
- Fabric-Aware Topology Alignment: We demonstrate how our solution maps long-haul IOWN APN constraints into KubeVirt VMs, maintaining high-performance GPU peer communication (NCCL) across 1,000km as a single, virtualized cluster.
- DRA Feature: We share KubeVirt’s static limits and the potential of DRA for dynamic orchestration.

Attendees walk away with a concrete blueprint to shatter the "walls" of a single DC — a scalable solution for global urban AI infrastructure challenges.