Q From you guys, ah, maybe tell us a little bit about the business aspect of this, the commercial, the go-to-market, who's an ideal customer, or how did you start build the customer base?
A So we, ah, I mean, I kind of mentioned at the beginning, we came at this from running GPUs in data centers, largely, um, and, you know, over the course of the last few years, the biggest group that has kind of come, or basically the, the two biggest groups were, ah, you know, crypto miners and, Machine learning practitioners, ah, one of them actually really needed compute, the other one just pretended to need compute. Um, and so, you know, we've been, for the last three years, kind of, seen this space evolve, and, you know, I, I do believe that the challenges here are mostly infrastructural. So, our team is not really, ah, you know, deep AI practitioners. It's mostly systems engineers, network engineers, you know, people that are, that are kind of looking at best practices from software development methodologies, and trying to apply that to this emerging space that has, you know, Data scientists, mathematicians, statisticians, and people that aren't, you know, traditionally versed in, ah, you know, software development methodology, which is different. I mean, I think you see a lot of vertical AI companies coming from, ah, you know, a PhD in AI with a vertical focus that will do really well, ah, and what we're trying, and that was sort of the point about wide and deep. You know, I think there are companies that are going to go super deep, and I think we're interested in sort of …
AI assessment note: “the two biggest groups were, ah, you know, crypto miners and, Machine learning practitioners”