All Tech Field Day Podcast

AI Needs Specialized Storage

Given the announcements of just about every company in the industry, it appears that AI requires specialized storage to function. In this special episode, recorded prior to AI Field Day, Andy Banta and Karen Lopez join Stephen Foskett to discuss the relationship between storage, data, and AI. We’ve seen lots of companies, including AI Field Day presenters DDN, NetApp, and WEKA, selling their high-performance distributed storage solutions for AI workloads. But is this just the nature of modern storage or is it truly linked to AI systems? It seems that much of this depends on the specifics of the AI application, whether it is used for training, the size and nature of the data set, and the specific use case. We should also consider what we mean by AI. Is it image recognition, autonomous driving, or a massive data set like GPT-3 or DALL-E? Just as with all such architecture questions, the answer is it depends on the specific use case.

On-Premises for Today’s Roundtable:


Andy Banta

Karen Lopez


Stephen Foskett






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About the author

Stephen Foskett

Stephen Foskett is an active participant in the world of enterprise information technology, currently focusing on enterprise storage, server virtualization, networking, and cloud computing. He organizes the popular Tech Field Day event series for Gestalt IT and runs Foskett Services. A long-time voice in the storage industry, Stephen has authored numerous articles for industry publications, and is a popular presenter at industry events. He can be found online at,, and on Twitter at @SFoskett.

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