> For the complete documentation index, see [llms.txt](https://docs.usd.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.usd.ai/depositor/faq/gpu-loans.md).

# GPU Loans

<details>

<summary>How many loans are live?</summary>

You can check can the status of all the loans on the “Reserves” page of the USD.AI app [https://app.usd.ai/reserves ](https://app.usd.ai/reserves)

</details>

<details>

<summary>Why aren't there more loans?</summary>

The loan process can take as little as a few days or as long as a few months depending on its complexity and in these early stages, the protocol is being more prudent to ensure users and USD.AI is not negatively impacted.&#x20;

The 2 main stages of a loan are:

1. Underwriting = evaluating business, assets, legal, etc
2. Install = receiving hardware, installing, verifying

</details>

<details>

<summary>GPUs depreciate fast. How is that risk handled?</summary>

See [Risks & Mitigants](/usdai/risks-and-mitigants.md) section

</details>


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## 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, and the optional `goal` query parameter:

```
GET https://docs.usd.ai/depositor/faq/gpu-loans.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

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.
