Eridu's High-Radix AI Networking Switch

TL;DR

The Full Story

AI training clusters are hitting a network bottleneck. As GPU counts scale from hundreds to tens of thousands, multi-tier switch fabrics become the performance ceiling. Each tier adds 500-1000ns of latency — for all-reduce operations across thousands of GPUs, this compounds into significant training time overhead.

Eridu's high-radix switch offers enough port density (128 ports at 800 Gb/s each) to connect large GPU clusters with a single tier of switches, minimizing latency and maximizing bisection bandwidth.

So What? — Market Impact

The AI networking market is projected to reach $25B by 2027. Eridu's GPU-vendor-independent approach offers hyperscalers supply chain diversification from NVIDIA Spectrum. At 10,000+ GPU scale, flat topologies can deliver 5-10% faster training times.

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