The networking stack for AI infrastructure is being upgraded simultaneously — from backend intra-cluster connections to frontend switch-to-switch links. Facilities that can't support high-speed networking become bottlenecks that throttle hardware worth tens of millions per rack. This episode examines the cabling requirements for AI-scale compute.

Key topics covered:

• Backend connections migrating to 1.6T and 3.2T speeds
• NVIDIA Blackwell's 400-800 Gbps interconnect requirements
• SN-MT and MMC connectors tripling fiber density
• Fiber vs copper tradeoffs for AI networking
• Supply chain constraints on high-speed cabling

Related keywords: data center cabling, high-speed interconnects, GPU networking, InfiniBand data centers, fiber optic AI, structured cabling AI

Brought to you by Spring Street Management Group.]]>