← Glossary
Glossary · inference
inference
Running a trained model to get answers — the phase where AI is actually used, as opposed to trained.
Training builds the model; inference is every request served afterward. When you chat with Claude, that's inference.
It's also where the economics live. Training cost is paid once; inference cost is paid on every single request, forever. Most of the clever systems work in this index — KV caches, batching, speculative decoding, quantization — exists to make inference faster and cheaper, because at scale those pennies per request decide what's viable to build.
In the index
- What Is an Inference Engine, Anyway? — Charles Frye, Modal
- Why Inference Matters 12x More Than Training | YC Paper Club
- How Inference Keeps Up with Our Insatiable Need for Tokens — Cerebras & Gimlet Labs
- Stanford CS336 Language Modeling from Scratch | Spring 2025 | Overview and Tokenization
- Trading Off Compute In Training And Inference