1、AI Data Centers:Scaling Up and Scaling Out2Copyright 2024 AFL.All rights reserved.Executive SummaryThis document provides in-depth commentary on the technical building blocks enabling scaling up and scaling out in modern AI data centers.By highlighting key industry developments and the continuous ev

2、olution of advanced scaling techniques,the authors aim to highlight the need for industry-wide,collaborative approaches to critical aspects of scaling,including AI hardware innovation,modular infrastructure planning,and sophisticated cooling methods.Gain a comprehensive overview of Artifcial Intelli

3、gence(AI),Machine Learning(ML),and Large Language Models(LLMs).This section explains fundamental concepts,including models,training,and inference.Delve into modern strategies for scaling AI data centers,focusing on both scaling up and scaling out.Explore emerging trends such as segmented models,less

4、 frequent synchronization,and extended distributed systems.This section also discusses the growing need for medium and long-haul links in data center interconnect(DCI).Explore signifcant AI milestones,such as the emergence of the transformative Transformer model.This section also highlights trends t

5、owards larger AI models and increased computational power.Learn about innovations in semiconductor technology,chiplets,and packaging techniques.Gain insights into high-bandwidth networking and advanced cooling systems.Introduction to AI and MLWhat you will learn:Scaling AI InfrastructureFuture Trend

6、s in AIEvolution of AI Since 2017Advances in AI Hardware0103050204Alan KeizerSenior Technology Advisor,AFLBen AthertonTechnical Author,AFL Written by“Generative AI has emerged and grown at a scale and speed that has surprised us all.It is built on a platform of multiple technologies,all of which hav