The rapid growth of AI workloads is driving demand for larger, more complex data center infrastructure, making scalable network architecture and high-density optical connectivity increasingly important. However, expanding AI training clusters across multiple buildings introduces new challenges for cabling design, network topology and infrastructure deployment.

This white paper from AFL examines how to scale AI training infrastructure to 128K-class accelerator clusters, extending an established cabling framework to support rack-based compute, three-tier network fabrics and campus-scale deployments.

Download now to:

• Examine cabling strategies, high-fiber-count backbone trunks and optical connectivity for high-density deployments
• Explore how rack-based compute and multi-building architectures influence fiber distribution, network design and installation
• Identify key considerations for managing cable pathways, coordinating cooling infrastructure and maintaining scalability as AI clusters grow