It has become a central player in the buildout of AI infrastructure, providing sophisticated chips to leading AI model developers including OpenAI and Meta.
But when we look at all the extra stuff in the Clean/Hex/Onion trio that has been added around that core concept, these architectures don’t look so simple anymore (see images below). I must admit that the Hexagonal one, at least in the original paper, looks the most straightforward. However, just like for the others, there are long debates over the Internet how these architectures should be implemented, what each element means, how to implement each layer, etc. A lot of failed or overengineered implementations happened due to such misunderstandings.
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