# Create GPU Enabled Flavors

After configuring passthrough GPU or vGPU hosts, create GPU enabled flavors and deploy virtual machines with dedicated GPU access.

#### Step 1: Create GPU flavors

Create VM flavors that include either passthrough GPU or vGPU specifications. Users select these flavors when deploying VMs that need exclusive GPU access.

1. Navigate to **Virtual Machines** > **Flavors** in the product\_acronym console.
2. Select **Create Flavor**.
3. Enter a **Name** for your flavor (for example, "gpu-passthrough-l4-large").
4. Configure the basic resources:

* **vCPUs**: Number of virtual CPUs
* **RAM**: Amount of memory in MB
* **Disk**: Storage size in GB

5. Toggle **Enable GPU** to **On**.
6. You can select either:

* **GPU Mode**: **Passthrough**.
* **GPU Mode: vGPU**.

7. If you choose **GPU Mode**: **Passthrough:**

* Select the **GPU Model** that matches your host configuration.
* Set **Number of GPUs** to 1 or more. For passthrough mode, each VM gets exclusive access to the specified number of physical GPUs.

8. If you choose **GPU Mode: vGPU**

* Set **Number of vGPUs** to 1 or more.

9. Select **Create Flavor**.

Your GPU flavor is now available for VM deployment.

#### Step 2: Deploy VMs with passthrough or vGPU support

Deploy virtual machines with exclusive GPU access using passthrough or vGPU flavors.

1. Navigate to **Virtual Machines** in the <code class="expression">space.vars.product\_acronym</code> console.
2. Select **Create VM** and then on **Name** enter a name for your VM.
3. Select **Boot VM From** the list.
4. Select a **GPU-enabled cluster** with GPU mode from the cluster dropdown.
5. Select **GPU flavor** from the flavor dropdown.
6. Configure the VM settings:

* **Network**: Configure network settings as needed.
* **VM Spec**: Configure additional specifications for your VM.

6. Select **Deploy VM**.

You may be required to wait for the VM to deploy. The system validates that the selected GPU flavor has available capacity on the host. After the VM is successfully deployed, your VM is now running with shared GPU access.

{% hint style="info" %}
**NOTE**

For vGPU choose an image with GPU **GRID GUEST** drivers pre-installed, or plan to install drivers after VM creation to utilize GPU acceleration for your workloads.
{% endhint %}