Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

YouTube

Data Centers of the Future: Adapting Infrastructure for AI-ML Computing

Open Compute Project via YouTube

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore a 13-minute conference talk from Google experts Varun Sakalkar and Mike Lau discussing how AI-ML technology evolution shapes the future of data center infrastructure. Dive into Google's computing infrastructure development, focusing on system-level architecture and the critical co-design approach from chip to data center scale. Learn about adapting infrastructure for high-power chips while maintaining warehouse-scale topology availability. Discover new developments in power delivery, liquid cooling, automation, serviceability, and data center architecture supporting next-generation AI-ML technologies. Gain insights into business and energy trends, onsite power solutions, and the concept of viewing data centers as machines, all through the lens of Google's ML mindset and innovative approaches to server and storage solutions.

Syllabus

Intro
Codesign
Scaling
Availability
High Power
Servers and Storage
ML Systems
Next Generation Power
ML Mindset
Data Center as Machine
Business Trends
Energy Trends
OnSite Power
Conclusion

Taught by

Open Compute Project

Reviews

Start your review of Data Centers of the Future: Adapting Infrastructure for AI-ML Computing

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.