Skip to content
ITG Now
Follow

Home › AI glossary › Inference

What is inference in AI?

Short answer

Inference is when a trained AI model is used to answer a question or make something, as opposed to learning.

  • Category Models
  • Updated 20 Oct 2026
Share

Inference, explained simply

Every time you send a message to a chatbot, the model runs once to answer. That run is inference.

Training happens once, in big data centers. Inference happens every time anyone uses the model.

That is why running popular AI costs real money. It adds up across millions of chats.

On ITG Now, our free tool guides explain how to run inference on your own computer with local tools.

TrainingLatencyTokens per secondGPULocal AIAI model

Where you'll see it on ITG Now

Questions people ask about Inference

Inference vs training: what is the difference?

Training teaches the model. Inference uses what it learned to give you an answer.

Can I do inference on my own laptop?

Yes, for small and medium models. Bigger ones need more memory and a good graphics card.

Sources

Last updated

Share

Browse all 200 AI terms