Siddharth Patel

AI Hardware Accelerators for Large Language Models: Architectures and the Memory Wall

This review surveys the full landscape of AI hardware accelerators for LLMs, including general-purpose GPUs, custom ASICs, reconfigurable FPGAs, processing-in-memory and near-memory architectures, and emerging neuromorphic and photonic approaches across cloud and edge deployment.