3 ms·
Shame you stopped short of actually benchmarking that scale though, eh?
by bcjdjsndon 5mo ago
Shame you stopped short of actually benchmarking that scale though, eh?
- gaeld 5mo agowill do - we are a small team and it takes time to implement and optimize a new model, whatever the size.
- lostmsu 5mo agoYou don't even need to train the model just to see if you can infer it at the claimed speed
- gaeld 5mo agoTrue, 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 5mo agoOh