# AI Model Hosting

AI Model Hosting is the process of making a trained AI model accessible to other users or applications, typically through an API. Once hosted, the model can receive input, process it, and return predictions in real time. This enables use cases like chatbots, image generation, object detection, and more.

Pictor provides the compute layer needed to host these models, using a decentralized GPU network contributed by global Worker nodes. Instead of buying and maintaining your own on-prem GPU servers, you can deploy your model on Pictor Network and run it at scale with minimal setup.

Just bring your trained and ready model. Pictor Network supplies the compute infrastructure.

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

{% hint style="info" %}
Pictor's AI Model Hosting services will be available soon.
{% 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-model-hosting.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.
