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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3
Network Design Considerations
Background Introduction
As we discussed in Chapter 1, “Wonders in the Workload,” processing AI/ML workloads involves three stages: data gathering and preprocessing, model selection and training, and deployment and monitoring.
Figure 3-1 illustrates the different stages of processing AI/ML workloads. Initially, data is gathered from various sources. In inference, the quality of data is directly proportional to the quality of the results. (You have probably seen instances in social media where AI model results are way off from the expectation—sometimes in a humorous way.) In the preprocessing phase, any data that contains errors, missing values, or inconsistencies is either corrected or removed. The data is then ...
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