# 1. Prerequisite

:desktop:**Hardware:**&#x20;

Our solutions was developed with minial requirements. given the use of non deep learning algorithms there are no hard hardware requirements. for relative small amounts of data a VM with 4C CPU and 8GB ram are more than enough. If you are eager to use our auto encoder implementation we recommend a more sophisticated system with at least 16GB VRAM.<br>

:floppy\_disk:**Software:**\
We recommend the deploymend  via Docker. Altough a baremetal deployment is possible, we designed our solution with containerization in mind. Our solution is a statless inference system. Theres no additional software needed, nor do we use additional docker containers.&#x20;

:test\_tube: **Test-system:**\
Ubuntu 22.04 with docker / docker-compose.&#x20;


---

# 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://jmu-isgroup.gitbook.io/anomalydetection.ml/installation-and-use/1.-prerequisite.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.
