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2026 Buyer's Guide

Enterprise
AI Networking

Your GPU budget is decided. Your compute is ordered. Now comes the part most organizations underestimate: the network fabric that determines whether those GPUs run at full capacity — or idle waiting for data.

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Market Context

The Numbers Behind the Shift

Why This Is Different

All-Reduce Synchronization — Why Standard Ethernet Fails

SPINE SWITCH ToR Switch A ToR Switch B Adaptive routing distributes load GPU 0 H100/B200 GPU 1 H100/B200 GPU 2 MI300X GPU 3 MI300X GPU 4 H100/B200 GPU 5 H100/B200 GPU 6 Gaudi 3 GPU 7 Gaudi 3 All 4 GPUs burst simultaneously → Gradient sync step N All-Reduce: every GPU transmits gradients simultaneously. One dropped packet at any point stalls the entire step across all GPUs.

The Arista fabric is NIC-vendor agnostic — NVIDIA, AMD MI300X, and Intel Gaudi all supported on the same physical switches

Decision Framework

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Answer five questions. Get a specific recommendation for your cluster profile — with the rationale your engineering team needs to defend the decision.

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    Reference Architectures

    Configuration Baseline

    Common Failure Modes — Diagnose Before You Tune

    Platform Comparison

    Pre-Build Checklist

    Quick Reference

    Go Deeper — Technical Detail Pages

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