In a rapidly evolving AI world, SRv6 stands out as a core player, enabling innovations that will shape the way we design AI infrastructures.

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SRv6 (Segment Routing over IPv6) has evolved from simplifying 5G service provider networks to becoming critical for AI infrastructure. Originally developed to eliminate MPLS complexity and enable network slicing for 5G, SRv6 now addresses AI training challenges like synchronized GPU communication, elephant flows, and scale-across architectures. Its stateless operation and source-driven path control enable deterministic traffic placement for RDMA workloads, unified frontend/backend network management, and seamless multi-datacenter connectivity without per-flow state. Hyperscalers are deploying SRv6 in AI backend networks for fine-grained path control and fabric resiliency.

SRv6: From 5G networks to AI infrastructure—a journey of innovation

The genesis of SRv6: A quest for network simplification

Rapid adoption across service provider networks

The AI infrastructure challenge: A new frontier

Dive deeper into SRv6 and segment routing with helpful tutorials, scientific papers, and more