Glossary

Inference

Beginner

Using a trained neural network to answer a question, recognize a picture or write text.

Novice

Running a trained model forward to get an output. It happens every time someone uses the model, so its total cost over a model’s life can exceed training’s, and it usually has a response-time limit.

Expert

Forward pass only (2N2N FLOPs per token), with latency targets per request. Small batches and the sequential decode loop make it far more often memory-bound than training.

Explained in What the workload needs (Architectures).

See also: Training.

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