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Full Stack Security and AI Job-ID-aware Segmentation: Cisco Raises the Bar for AI Fabric Efficiency

IntroductionAI clusters deliver value only when GPUs stay productive. Too many installations still run below 30-50% utilization because networks cannot keep up with job dynamics, tenant sprawl, and constant workload movement. While that number improves with time, those early idle times can quickly move to millions of dollars of waste… Read More »Full Stack Security and AI Job-ID-aware Segmentation: Cisco Raises the Bar for AI Fabric Efficiency

The Widening Chasm: XPU Data Hunger Outpaces Network Infrastructure

Why Networking Scale Matters for AI’s Next Phase Introduction:The AI infrastructure boom shows no signs of slowing. Hyperscalers, neoclouds, sovereign clouds, and enterprises are pouring hundreds of billions into GPU and XPU clusters to fuel ever-larger models. Amazon’s CAPEX guide was $200B for 2026, and a slew of fresh capital… Read More »The Widening Chasm: XPU Data Hunger Outpaces Network Infrastructure

AI Fabrics for Neo and Sovereign Clouds: Why Non-Blocking Design Matters

Introduction AI Ethernet Switching provides the backbone for connecting GPUs. We discussed the different types of AI fabrics and the advantages Ethernet had in our previous blog. The fabrics are key to how Neoclouds and Sovereign Clouds build next-generation AI clusters. Idle GPUs and congestion costs are significant. This blog… Read More »AI Fabrics for Neo and Sovereign Clouds: Why Non-Blocking Design Matters