Frontier training algo author trains MoE across continents on 25 Gbps

andersonbcdefg · x · 2026-11-03

Rohan Anil, developer of training algorithms behind frontier models, published an 18-minute writeup from CoreAuto: they trained a sparse 3B MoE across two differently-sized clusters with different GPUs nearly halfway around the world over a 25 Gbps bidirectional link. They also replaced all-reduce with pairwise butterfly mixing between eight learners, matching standard training quality. The piece is both a position paper and a call to action for truly distributed learning, eyeing compute islands and in-space training.

Related event: Rohan Anil shows MoE training across continents over 25Gbps links(6 posts)→

Original post →

More from Infra

Infra channel →