How to Test 1.6T Ethernet AI Fabrics

AresONE 1600GE
+ AresONE 1600GE

AI Fabric Validation

Ethernet-based AI data center networks must support massive volumes of east-west traffic across modern switch fabrics. As hyperscalers, AI infrastructure vendors, and cloud operators scale AI networks, validation helps determine how those fabrics perform under realistic traffic conditions before production deployment.

System validation is difficult because collective communication patterns such as all-to-all, incast, and many-to-many traffic flows can expose congestion, latency, uneven traffic distribution, and scalability issues that may not appear under simpler test conditions. Recreating these traffic patterns in the lab is essential for evaluating production-scale AI fabric behavior.

AI Fabric Test Solution

Validating Ethernet-based AI fabrics requires a way to recreate realistic AI traffic patterns before network deployment. The Keysight AI Fabric Test Solution combines the AresONE 1600GE platform with IxNetwork software to generate realistic Remote Direct Memory Access over Converged Ethernet version 2 (RoCEv2) traffic and exercise AI fabrics at scale. This enables engineers to evaluate fabric scalability, congestion behavior, latency, and throughput under realistic conditions without requiring large GPU clusters in the lab.

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