Data and AI Centers
The Sun Rises on Scale-Up Ethernet
Arista and Palo Alto Networks Strengthen Partnersh
Various Dates & Locations
November 19-21
December 9-11
Upcoming webinars and archive
Chip designs are busting out beyond the reticle limits of lithography machines, making chiplets and high-bandwidth, in-package die-to-die interconnects inevitable. And AI training workloads are busting through datacenter walls, making scale out networks to lash together datacenters or even multiple regions into a single, logical datacenter just as inevitable.
Scaling artificial intelligence is not just a compute problem but increasingly a network issue, a reality that Arista Networks addressed Wednesday by unveiling its latest switch family targeted toward AI data centers.
Arista is bulking up its R4 series with speedier models and line cards to advance high-performance networks.
At an analyst day in September, Arista made its case for serving AI datacenters. That includes the crop of neoclouds, the GPU-laden clouds purpose-built for AI.
For Sky Sports to bring the number of its exclusively live Premier League matches for the new 2025/26 season from 128 to at least 215, it needed to bring its best technologists to the table to make the multiple productions work.
Tyson Lamoreaux spent more than two decades at AWS, ending his tenure with oversight of its sprawling networks before joining the company’s satellite-focused Project Kuiper team. He’ll now bring his experiences behind the hyperscale curtain to bear for networking vendor Arista in the AI era.
Arista enables high capacity DC/AI clusters with a dense 800 Gbps R4 system, thereby setting a new benchmark with the introduction of 3.2 Tbps HyperPorts. This offers distributed AI workloads with ultra-capacity for distributed scale-across and multiplanar networking.
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