Content by sherry xu, prashant ranjan, torsten hoefler (1)

Sherry Xu, Prashant Ranjan, and Torsten Hoefler explain how Azure Maia 200 targets efficient, predictable large-scale AI inference by making data movement explicit (SDLA) and extending that approach across an all-Ethernet scale-up network, with performance discussion across realistic matmul and collective-communication workloads.