Inference cost at scale with napkin math (13 minute read) (opens in new tab)  ⚡KV Cache  Content type: Blog

You need the following information to work out the dollar price-per-user: GPU hardware specs, context length, active parameter count of the model, and product-specific factors. The specifics of the model architecture matter surprisingly little, unless it's something entirely different, like diffusion. This post shows how to work out the math on paper. The exercise should reveal how various optimizations in inference engines help SaaS products remain profitable.