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Computational storage: What is it and what are its key use cases?

PA Consulting’s Andrew Larssen is quoted in an article on the uses and benefits of computational storage.

The article outlines the basics of computational storage, describing it as a storage subsystem that includes a number of processors, or CPUs, located on the storage media, or their controllers. Andrew explains: “When a computer needs to do calculations on a data set, the data needs to be read from storage into memory and then processed.”

He continues: “As storage sizes normally vastly exceed memory, the data has to be read in chunks. This slows down analytics and makes real-time analytics impossible for most data sets. By having processing capabilities directly in the storage layer, computational storage lets you avoid this.”

The article goes on to discuss the pros and cons of computational storage and concludes with an assessment of the market.

Read the full article on Computer Weekly.

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