# AI Training

Pictor provides decentralized GPU infrastructure to support a wide range of AI model training needs — from building models from scratch to fine-tuning pre-trained ones.

AI developers, machine learning engineers, and research teams can access high-performance GPUs on demand, customize their environments, and maintain full control over the entire training pipeline. Whether scaling foundation models or running smaller, iterative experiments, Pictor offers the flexibility and compute power to meet diverse AI workflows.

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

{% hint style="info" %}
Pictor AI Training will be updated soon. Stayed 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-training.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.