Inside the AI Fabric: Scaling the Networks Behind Tomorrow's AI Factories



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Summary
Artificial intelligence is fundamentally changing how data centers are designed. As AI factories evolve from clusters of thousands of GPUs to infrastructures supporting hundreds of thousands of accelerators, the network fabric has become one of the defining constraints on performance, scalability, power efficiency, and cost. Building these environments requires more than faster optics. Operators must balance scale-up architectures within AI clusters, scale-out networking across massive GPU fabrics, and increasingly scale-across strategies that connect distributed training environments into a unified AI infrastructure. At the same time, technologies including co-packaged optics (CPO), linear pluggable optics (LPO), silicon photonics, optical engines, advanced packaging, and next-generation Ethernet are rapidly reshaping what's possible inside the data center. Our panelists explore which technologies are ready for deployment, where the industry's biggest bottlenecks remain, how networks are validated and operated at unprecedented scale, and which architectural decisions organizations should make now to prepare for the next generation of AI infrastructure. Attendees will gain practical insight into the optical and networking innovations enabling tomorrow's AI factories, while hearing firsthand how operators are balancing immediate deployment requirements with long-term architectural roadmaps.






