Content by sdighe (2)

sdighe explains how large-scale AI training and inference are pushing datacenter networks to evolve, and why networking now needs to be designed as part of the AI system. The post highlights open specifications like Multipath Reliable Connection (MRC), plus industry efforts around optical interconnects and Ethernet scale-up networking.

Saurabh Dighe presents a deep technical examination of Microsoft’s Maia 200 silicon, revealing its purpose-built innovations for AI inference at Azure scale and how its hardware and SDK empower developers and cloud AI workloads.