# Inference Instance configuration

## Select your model

### How to select Public model?

#### Model catalog

If you want to infere with one of the best-known models, you can select it in our catalog of pre-charged models list.

<figure><img src="/files/pFtCCZCakH256rMBYu7v" alt=""><figcaption></figcaption></figure>

#### Public custom model

If you want to select a custom model that is publicly hosted on Docker Hub, for example, click "New Deployment" and fill your docker tag in the "Public Model" text field.

<figure><img src="/files/9YCxgg1zSur8Hec74BYE" alt=""><figcaption></figcaption></figure>

<figure><img src="/files/2caIZ9sy9qGaHCxnahs1" alt=""><figcaption></figcaption></figure>

### How to use Private custom model?

If you want to deploy a private custom template, you'll need to create a registry. Click on “Private Model", and add your Registry informations.

<figure><img src="/files/jmzdypH2nmooQ8sGQa7u" alt=""><figcaption></figcaption></figure>

To create a registry, perform the **following steps**:

{% stepper %}
{% step %}

### Registry name

Give your registry a name consisting of lowercase Latin characters, which can be separated by dashes.
{% endstep %}

{% step %}

### Location link

Provide the link to the location where your AI model is stored. We’ll use this URL to retrieve the model during deployment.
{% endstep %}

{% step %}

### Username

Specify the username you use to access the storage location of your AI model.
{% endstep %}

{% step %}

### Password

Enter the password required to access the model.
{% endstep %}
{% endstepper %}


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