Home Setting up a Cloud Image template and Cloud Init

Setting up a Cloud Image template and Cloud Init

What is a ‘Cloud Image’?

Cloud Images are lightweight, faster, certified cloud-ready versions of operating systems. They have Cloud Init pre-installed, meaning they can be configured using ‘Cloud Config’.

This works great combination with setting up a GPU server in Proxmox.

Getting Started

First, you’ll want to decide which version of Ubuntu you’d like. We generally recommend 18.04LTS or 20.04LTS for AI applications.

Once you’ve decided, copy one of the URL’s from here.

Next, login to your Proxmox server and download it, being sure to use the URL of the version of your choosing:

wget https://cloud-images.ubuntu.com/bionic/current/bionic-server-cloudimg-amd64.img

Create a VM

Next, let’s create a virtual machine

qm create 8000 --memory 4096 --core 4 --name ubuntu-cloud --net0 virtio,bridge=vmbr0

Import the new disk to local-lvm storage (or whichever disk you prefer)

qm importdisk 8000 focal-server-cloudimg-amd64.img local-lvm

Attach the new disk to the virtual machine as a scsi drive on the scsi controller

qm set 8000 --scsihw virtio-scsi-pci --scsi0 local-lvm:vm-8000-disk-0

Add a ‘cloud init’ drive:

qm set 8000 --ide2 local-lvm:cloudinit

Make the cloud init drive bootable and restrict BIOS to boot from disk only:

qm set 8000 --boot c --bootdisk scsi0

Add a serial console:

qm set 8000 --serial0 socket --vga serial0

Setting up hardware

If you’d like to make any hardware changes at this point, you should do so in the GUI. However, do not start the VM.

It’s best to keep the minimum amount of resources possible, as this will serve as a template. So don’t attach any GPU’s yet, and we recommend you keep the storage capacity low, as we can always expand this later.

Copy - Paste

Now let’s create a template:

qm template 6000

and clone it:

qm clone 6000 135 --name noor1 --full

(Replace noor1 with any name you want to give the VM, and 6000 with any ID)

For pre-built, pre-configured GPU servers for AI, be sure to visit:


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