inference costs

Inference costs refer to the computational resources, time, and energy required to run a trained machine learning model and generate predictions (inferences) from input data. These costs depend on factors such as model complexity, hardware efficiency, and the scale of deployment, and they are distinct from training costs, which are incurred during the model’s initial learning process.