Neoscalers are reshaping the AI economy, but scaling GPU clusters and distributed infrastructure requires more than compute—it demands ultra-low latency, high capacity, and power-efficient optical networking. This eBook explores the challenges of scaling capacity with demand, managing latency performance, operating within power and cooling limits, and maximizing reliability. It outlines how coherent optics, programmable photonics, intelligent software control, and lifecycle services combine to help neoscalers design, deploy, operate, and evolve AI-ready networks.
Accelerating AI Growth: Optical Networking Breakthroughs for Neoscalers
Related
View more insightsBlog
Three phases of AI opportunity for Middle East operators
AI will do more than just add more traffic to operator networks. Ciena’s Pete Hall explains why it will change who operators sell to, where demand appears first, and how connectivity is monetized.
ReadBlog
Scaling AI in Australia: The network imperative
Australia’s AI opportunity will depend on more than data centres and compute. As deployments scale, flexible, high-capacity connectivity will determine how quickly service providers can help turn that opportunity into reality. Ciena’s Pradap
ReadBlog
The GCC’s scale across AI future: Connecting GPU clusters across data centers
Ciena’s Omar Alsaied examines why the GCC’s AI ambitions are shifting the network from supporting infrastructure to strategic architecture, as scale across designs help distributed GPU sites operate as one coherent AI training platform.
Read


