How The Economics Of Inference Can Maximize AI Value
NVIDIA News, Friday, April 25th, 2025
Understanding the cost of AI in production can help users achieve high-quality performance and profitability.
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 which incur a cost.