Podcast: AI data needs scalable flash, but also needs to be fair

In this podcast, we talk to Quantum’s enterprise products and solutions manager, Tim Sherbak, about the impacts of artificial intelligence (AI) on data storage, and in particular about the difficulties of data storage over long periods and with very large volumes of data.

We talk about the technical requirements AI places on storage, which could include the need for all-flash in a highly scalable architecture and the need to aggregate throughput over multiple and single streams.

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