How the Economics of Inference Can Maximize AI Value

As AI models evolve and adoption grows, enterprises must perform a delicate balancing act to achieve maximum value.

That’s because inference — the process of running data through a model to get an output — offers a different computational challenge than training a model.

Pretraining a model — the process of ingesting data, breaking it down into tokens and finding patterns — is essentially a one-time cost. But in inference, every prompt to a model generates tokens, each of…