February 2026
Intermediate to advanced
384 pages
12h 48m
English
AI applications rely on large amounts of data to train and test their models, as well as to provide inputs and outputs for their operations. Data centers are facilities that house computing, storage, and networking equipment to enable the processing and distribution of data. There are two main types of data centers that support AI/ML applications: AI training data centers and AI inference data centers.
AI training data centers are data centers that are designed to perform the training of AI models. Training is the process of teaching an AI model to perform a specific task by providing it with labeled data, such as images, text, ...
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