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Model Serving & Economics

Inference cost

The expense of running a trained model to generate outputs.

Example

The serving bill includes processor time, memory, hosting, and provider charges.

Why it matters

Tracking it helps teams keep a useful AI feature financially sustainable.

You'll hear it

“The model is trained, but running it still costs us money.”

Can you control it?

Set by the team

The people building or running the AI choose this setup. An everyday user generally needs their help to change how this part works.

Common questions

Does a downloaded model run for free?
No. Equipment, electricity and maintenance can still cost money even when the model has no purchase price.
Why can a longer answer be more expensive?
Producing more text generally requires more processing, even when the question is short.
Can serving more people reduce the cost per person?
Sometimes. Sharing equipment efficiently can help, but total spending usually rises as use grows.

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