Best Of 2024: AI Leadership Insights: Managing Data Pipelines
TechStrong.ai, Friday, December 27th, 2024
Mike Vizard: Hello and welcome to the latest edition of the Techstrong AI video series. I'm your host, Mike Vizard. Today we're with David Flynn, who is CEO for Hammerspace, and we're talking about how we're going to get all these data pipelines constructed for all these large language models we hope to deploy one day because well, they don't just magically appear. David, welcome to the show.
David Flynn: Hey. Thanks for having me, Michael. Really appreciate.
Mike Vizard: Let's get started first with, well, how many LLMs do we think that the average enterprise is going to be trying to work with and how big are these things ultimately going to be? Because some people, I think they have it in their heads that each one is petabytes maybe, but turns out maybe they're in terabytes, but what's the current state of the thing?
David Flynn: Yeah. Well, it's true that LLMs language models text is rather compact, so there's not a whole lot of space taken up there. It's when we start going multimodal that I think we see the very large capacity points show up. So I think you have a very valid point that text-based only isn't as storage capacity demanding.