How Meta is creating custom silicon for AI

This post details the development of Meta's custom AI silicon, MTIA (Meta Training and Inference Accelerator). It highlights the challenges of designing hardware for rapidly evolving AI software, the advantage of in-house silicon and software teams for co-design, and the significance of MTIA v1 as Meta's first-generation ML accelerator. The post also discusses learnings from the development process, future directions for AI silicon design (addressing memory and inter-chip communication bottlenecks), and the importance of a collaborative, hands-on team culture.