February 2026
Intermediate to advanced
384 pages
12h 48m
English
Data storage is a fundamental part of the design of a new AI data center. Storage must be well defined for each phase of the life cycle: data preparation, cleanup, data ingestion, and post-training model storage. Retrieval-augmented generation (RAG) and agentic RAG can utilize storage networks for various types of operations.
The life cycle phases often have different storage requirements in terms of scale, performance, and cost. The target storage media type (such as Flash memory media or a hard drive) sometimes also dictates the type of storage network to be used. Today’s storage systems are primarily based on modern solid-state drive (SSD) Flash memory media; some legacy deployments still use high-capacity ...
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