February 2026
Intermediate to advanced
384 pages
12h 48m
English
book
AI Data Center Network Design and Technologies
by Mahesh Subramaniam, Michal Styszynski, Himanshu Tambakuwala
Content preview from AI Data Center Network Design and Technologies
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Appendix A
Questions and Answers
Chapter 1: Wonders in the Workload
The following questions are designed to test your understanding of the content covered in Chapter 1. Following the questions, answers are provided so you can verify your conclusions.
Questions
1. How does the data lifecycle influence AI model performance in data centers?
2. Explain the iterative process of training an AI model, including the roles of forward and backward propagation.
3. What are the main types of parallelism in AI training, and how do they address scalability challenges?
4. Define job completion time (JCT) and discuss its significance in AI/ML clusters.
5. How does tail latency affect distributed AI training, and what architectural features help mitigate it? ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.