Jeff Denworth, (@JeffDenworth, Co-Founder of @VAST_Data) talks about building data platforms for new AI application demands.

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VAST Data (homepage)
Understanding AI IO performance (whitepaper)

Topic 1 - Welcome to the show. Before we jump into VAST Data, let’s talk a little bit about your background and then what led you to start the company.

Topic 2 - As we talk about datacenter or cloud architectures, right now GPUs are king. This is causing a complete rethinking of data center architectures. But what is this doing to the storage side of the equation?

Topic 3 - To a certain extent (in the context of AI), GPUs are this massive change from CPUs in that cost almost isn’t considered because of the great fear of falling behind in AI model building/usage. But storage has always been a performance+price discussion. Does that discussion still exist when companies must choose all-flash storage to keep up with GPU IO demands?

Topic 4 - We’ve obviously seen a lot of new innovation around GenAI models over the last couple years, but what have you seen from Enterprise companies in terms of real adoption, AI use-cases, etc?

Topic 5 - How are you finding Enterprise companies balancing the current requirements around infrastructure modernization (maybe driven by new VMware licensing, etc.) with AI demands?

Topic 6 - Do you find that data platform teams are having to make many adjustments to their environments or skills, especially since all-flash technology has been around for at least a decade?

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The Evolution of Data Platforms