Explore a comprehensive survey on hardware accelerators for Large Language Models (LLMs) in this 51-minute session featuring Professor Christoforos Kachris from the University of West Attica. Delve into the paper's thorough examination of existing hardware accelerators designed to enhance LLM performance and energy efficiency. Gain insights into a wide spectrum of accelerator technologies, including GPUs, FPGAs, and specialized custom designs. Learn about the latest advancements in AI hardware acceleration and their potential impact on the future of LLM deployment. Discover additional resources for staying updated on AI research, industry trends, and the AI deployment stack through recommended readings and social media channels.
A Survey on Hardware Accelerators for Large Language Models
Overview
Syllabus
A Survey on Hardware Accelerators for LLMs
Taught by
Unify
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