ai data center

Higher Radix Switches Unlock Efficiency Gains Across AI Data Centers

Higher RADIX Switching Drives Faster Training and Lowers Inference Costs IntroductionAI cluster expansion increases the networking demand and requires a new networking scale to expand with the number of XPU/GPUs efficiently. Higher radix switches meet this need directly. Newer advanced designs integrate more ports per ASIC and deliver higher aggregate… Read More »Higher Radix Switches Unlock Efficiency Gains Across AI Data Centers

In the AI Era, Ethernet Set to Surge in Scale-Out and Ramp in Scale-Up

How Ethernet is Poised to Expand in the Entire AI Networking Landscape IntroductionIn the rapidly evolving world of AI infrastructure, the debate between scale-up and scale-out architectures has shaped market dynamics. As we enter 2026, Ethernet’s trajectory suggests it will surge in Scale-Out and move from proof-of-concept to production in… Read More »In the AI Era, Ethernet Set to Surge in Scale-Out and Ramp in Scale-Up

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