AI Chip Architectures

A comprehensive technical reference covers AI chip architectures including GPU clusters, TPUs, transformer ASICs, and memory subsystems used in modern AI inference and training. The resource explains design trade-offs and how architectural choices affect real-world workload performance. It is aimed at engineers who need to understand the hardware layer beneath AI software stacks.