How to Build an AI-Ready Data Center: Cisco Nexus Hyperfabric Architecture Guide
A C-Suite & Network Architect Blueprint to Eliminating GPU Bottlenecks, Automating Lossless Ethernet, and Scaling Enterprise GenAI. The Enterprise AI Paradox Enterprise IT leadership faces a costly bottleneck: organizations invest millions in high-performance GPUs, yet those GPUs spend 30% to 40% of their compute cycles idling . The culprit is rarely compute capacity or storage—it is network congestion . Traditional data center networks built for web traffic cannot handle the synchronized “east-west” traffic bursts required by Large Language Model (LLM) training and real-time agentic inferencing. Without a specialized, low-latency, lossless fabric, expensive compute clusters run well below capacity. TRADITIONAL DATA CENTER AI-READY HYPERFABRIC DATA CENTER ┌───────────────────────────────────────┐ ┌───────────────────────────────────────┐ │ Inconsistent Latency & Dropped Packets│ │800G Lossless Ethernet (RoC...