pinata

These two images tell a fascinating story 

On the left, we have a server running on a GPU enabled machine that can run local AI models through Ollama, and with x402 monetize that usage

On the right, we have a request being made to that server using the OpenAI SDK and x402-fetch 

Distributed AI is near, and so is the blog post on this experiment

DX Engineer | Head of Developer Relations at /pinata | Building orbiter.host | stevedylan.dev/links | opinions are my own

Admittedly it’s not a complete solution but conceptually it sets up a world where higher compute hardware is more accessible outside of large central providers, and for that hardware to be monetized.

why would you distribute the inference infra? what's the forcing function? def is not economical/private. what is it then? how does on-device come into play here? genuine question.