# What is Inference Server?

It is a specialized server system where artificial intelligence models are run to generate answers to incoming questions.

## Overview
After an artificial intelligence model is trained, it must be kept running continuously so that users can ask it questions and receive answers. An inference server is a powerful computer center that hosts this model, processes incoming data quickly, and returns results. These systems can serve many people simultaneously by optimizing the model's performance.

*Analogy: It is like a chef (the AI model) in a kitchen who knows the recipe, waiting constantly and preparing and serving incoming orders (questions) instantly.*

## How it works
The required model is loaded onto this server, and it is enabled to handle questions coming through a gateway (API). The server translates the incoming question into a language the model understands, runs the model, and sends the generated answer back to the user.

## Where it is used
It is used in the background of AI-powered applications on cloud computing platforms or in the data centers of large companies.

## Commonly confused with
It is not just a computer, but a specialized infrastructure optimized for the model to run.

## Frequently asked questions
**Why isn't a normal computer enough?**
Artificial intelligence models require a lot of processing power and memory, which is why specially equipped servers are needed.

**Is it the same thing as model training?**
No, training is the model's learning process, while inference is the process of using what it has learned.


## Related terms
- [Inference](/en/dictionary/inference/)
- [AI Models](/en/dictionary/ai-models/)
- [Deployment](/en/dictionary/deployment/)

## Related tools
- [Magnitude](/en/discover/magnitude/)
- [SIE](/en/discover/sie/)

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Source: TreScout Dictionary · https://trescout.com/en/dictionary/inference-server/