Accelerating Facebook’s infrastructure with application-specific hardware

What this post added

This post details the development and deployment of application-specific hardware (ASICs) for accelerating Facebook's infrastructure, specifically for AI training (Zion), AI inference (Kings Canyon), and video transcoding (Mount Shasta). It highlights the co-design efforts with partners, the adoption of the Open Compute Project (OCP) accelerator module (OAM) standard, and the architectural details of each hardware platform. The post also introduces the Glow compiler as a means to abstract hardware specifics for AI workloads.