AI Storage: NAS vs SAN vs Object For Training And Inference
ComputerWeekly, Friday, May 23rd, 2025
Artificial intelligence operations can place different demands on storage during training, inference, and so on. We look at NAS, SAN and object storage for AI and how to balance them for AI projects
Artificial intelligence (AI) relies on vast amounts of data.
Enterprises that take on AI projects, especially for large language models (LLMs) and generative AI (GenAI), need to capture large volumes of data for model training as well as to store outputs from AI-enabled systems.
That data, however, is unlikely to be in a single system or location. Customers will draw on multiple data sources, including structured data in databases and often unstructured data. Some of these information sources will be on-premises and others in the cloud.