I totally get where you're coming from with the mining use case being straightforward. However, when it comes to AI, it's a different ball game. Each use case h

I totally get where you're coming from with the mining use case being straightforward. However, when it comes to AI, it's a different ball game. Each use case has its own set of requirements and optimizations, which is why many big mining operations find it challenging to shift towards AI. It's not just about assembling parts; it requires a deeper technical know-how. For mining, the focus is mainly on GPUs, and the specifics like bus speed or other components aren't as critical. You could get by with a basic setup - a $35 CPU, 4GB of RAM, 100meg network, and PXE booting without any local storage. Even older GPUs like the RX470s did the job perfectly until the very end. But what George is working on is something else entirely. It's not just about the number of GPUs; it's about creating a cohesive system where every component plays its part and is configured correctly. This complexity of tying everything together, is what makes it challenging. George is incredibly talented, and the fact that he's been dedicating himself to the tinybox project for a year now really speaks volumes about the intricacies involved. Please don't think I'm trying to be confrontational - that's not my intention in the slightest. I appreciate your perspective, but I'm just trying to offer a different angle based on my own experience in this field. While it might seem that this hardware isn't groundbreaking or that the developments could have been achieved earlier, it's important to recognize the innovation and hard work behind it. This isn't just about putting together existing pieces; it's about creating something that works better as a whole than the sum of its parts. I'm confident that if we were to talk in person, we'd get along just fine.