4 ms·

thanks! we explain how it scales to larger models in the last section the OP blog post

• bcjdjsndon 4mo ago
  Shame you stopped short of actually benchmarking that scale though, eh?
  • gaeld 4mo ago
    will do - we are a small team and it takes time to implement and optimize a new model, whatever the size.
    • lostmsu 4mo ago
      You don't even need to train the model just to see if you can infer it at the claimed speed
      • gaeld 4mo ago
        True, and for third-party models we'll just re-use their public open weights. There is a time-consuming part, though, that is performed manually by our (human) team: implement the logic of the model in C++ and assembly code in a super-optimized way, co-designed for each specific hardware card. This can take months. We hope to accelerate the process with AI agents, but we're not there yet.
    • bcjdjsndon 4mo ago
      Oh