# AI Inference

AI inference is the process of using a trained model to make decisions, generate predictions, or return outputs based on new input data. It’s what happens **after** a model is trained — when it’s put into action to respond to prompts, classify content, detect objects, or generate media.

From chatbots and search assistants to facial recognition systems and generative image/video tools, inference is at the core of real-world AI applications.

Pictor enables you to run inference workloads at scale using a decentralized GPU network. Instead of managing your own servers or paying for expensive cloud inference instances, you can tap into global idle compute power via Pictor to serve your model efficiently and affordably.

<figure><img src="/files/sAReJiVKv6GLKoOO3qhD" alt=""><figcaption></figcaption></figure>

{% hint style="info" %}
Pictor's AI Inference services will be available soon! Stay tuned!
{% endhint %}


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# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.pictor.network/docs/pictor-ecosystem/ai-inference.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.