# OS Images

## FPT Images

FPT Image is a custom image built by FPT that you can use to get started quickly with any of the GPU VM available. This image comes with several components needed for AI workloads and selects Ubuntu as the Operating System (OS).

The versions of the installed dependencies are optimized for compatibility and might not be the latest versions available.

<figure><img src="/files/BLj1vCIARBKRpKUiXjuN" alt=""><figcaption></figcaption></figure>

| Image name                  | Description                                                                                                                                                     | Dependencies                                                                                                                                           |
| --------------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------ |
| UBUNTU 22.04 GPU            | Ubuntu version 22.04 and essential NVIDIA GPU drivers                                                                                                           | <p>NVIDIA Driver 560.35.03<br>NVIDIA CUDA Toolkit 12.6.85<br>NVIDIA Fabric Manager (NVSwitch Driver) 560.35<br>NVIDIA Datacenter GPU Manager 3.3.9</p> |
| AIML UBUNTU 24.04           | Ubuntu version 24.04 and essential NVIDIA GPU drivers                                                                                                           | <p>NVIDIA Driver 575<br>NVIDIA CUDA Toolkit 12.9<br>NVIDIA Container Toolkit 1.18.2</p>                                                                |
| AIML UBUNTU 24.04 8GPU      | <p>Ubuntu version 24.04 and essential software for AI/ML workloads.</p><p>Features NVLink interconnect on <strong>8x GPU flavors.</strong></p>                  | <p>NVIDIA Driver 575<br>NVIDIA CUDA Toolkit 12.9<br>NVIDIA Container Toolkit 1.18.2</p><p>NVIDIA Fabric Manager 575</p>                                |
| INFERENCE UBUNTU 24.04      | Ubuntu version 24.04, Deploy any model faster with production-grade-performance                                                                                 | <p>NVIDIA Driver 575.51.03<br>NVIDIA CUDA Toolkit 12.9<br>NVIDIA Container Toolkit 1.18.2<br>Docker CE<br>vLLM 0.10.2</p>                              |
| INFERENCE UBUNTU 24.04 8GPU | <p>Ubuntu version 24.04, Deploy any model faster with production-grade performance. </p><p>Features NVLink interconnect on <strong>8x GPU flavors.</strong></p> | <p>NVIDIA Driver 575<br>NVIDIA CUDA Toolkit 12.9<br>NVIDIA Container Toolkit 1.18.2</p><p>NVIDIA Fabric Manager 575</p>                                |

## Custom images <a href="#gpuvmosimages-customimages" id="gpuvmosimages-customimages"></a>

You can create GPU VMs based on custom images, which lets you migrate and scale your workloads without spending time recreating your environment from scratch.

<figure><img src="/files/bA0vy0KdMjcEK1CTELRW" alt=""><figcaption></figcaption></figure>

### Upload a Custom Image <a href="#gpuvmosimages-uploadacustomimage" id="gpuvmosimages-uploadacustomimage"></a>

Only the **QCOW** file format is supported for uploading GPU VMs here. For other file formats, please contact us for further assistance.

{% stepper %}
{% step %}
From the menu, select **Compute Engine > Custom Image**. Then click **Upload Image**.
{% endstep %}

{% step %}
Enter the required information and choose the file from your machine. Click **Upload** to begin the upload process.

<figure><img src="/files/Hq7kaM07zTjxX0i8NNCa" alt=""><figcaption></figcaption></figure>
{% endstep %}
{% endstepper %}

### Delete a Custom Image <a href="#gpuvmosimages-deleteacustomimage" id="gpuvmosimages-deleteacustomimage"></a>

If you no longer need a Custom Image, you can delete it by following these steps:

{% stepper %}
{% step %}
From the menu, select **Custom Image**, then under the **Actions** menu for the image you wish to delete, click **Delete**.
{% endstep %}

{% step %}
A confirmation pop-up will appear. To proceed with the deletion, click **Delete Custom Image**.
{% endstep %}
{% endstepper %}


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