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:





Panelists



Andy Banta



Karen Lopez



Moderator



Stephen Foskett





Twitter



@AndyBanta



@DataChick



Twitter



@SFoskett





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