> For the complete documentation index, see [llms.txt](https://nx.docs.scailable.net/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://nx.docs.scailable.net/nx-ai-manager-v4.x/for-data-scientists/introduction.md).

# Introduction

 This section of our documentation describes how to create vision models that can be easily deployed to your edge devices running Nx Meta Server. 

{% hint style="info" %}
This section of the docs focuses on creating models. Once you have a model ready in ONNX format, you [can find instructions on uploading it to the Nx Cloud platform here](/nx-ai-manager-v4.x/nx-ai-cloud/upload-your-model.md). 
{% endhint %}

## High-level process

Our standard process for creating and uploading your models to the Nx AI Cloud is to:

1. Create a model using your favorite training tools. You can create an [ONNX model/pipeline from scratch](/nx-ai-manager-v4.x/for-data-scientists/custom-model-creation.md) or import a model using one of the training tools we integrate with.
   1. If you create your ONNX from scratch, ensure the [resulting ONNX graph is proper](/nx-ai-manager-v4.x/for-data-scientists/onnx-requirements.md).
2. Once you have your model ready, you can upload it to the Nx AI Cloud platform; we will automatically convert it to several different device-type optimized versions and ensure that it can be deployed to any edge device running the Nx AI manager efficiently.

{% @mermaid/diagram content="graph TD
A(Train model using your favourite training tools)
subgraph ONNX
B\[Ensure Nx ONNX specs]
end
C(Upload to platform)
D(Automatic conversion to different representations)
E(Manage deployment)
A-->B
B-->C
C-->D
D-->E
" %}

In this section of the docs, you can find the following:

* General [information and resources regarding ONNX](/nx-ai-manager-v4.x/for-data-scientists/about-onnx.md).
* Details on how to [generate your own ONNX graphs](/nx-ai-manager-v4.x/for-data-scientists/custom-model-creation.md) and how to check your ONNX graph.
* Details on how to import models that have been [exported from various model training platforms](/nx-ai-manager-v4.x/for-data-scientists/importing-models.md).