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If you have virtual disks in your on-premises environment with software and
configurations that you need, occasionally referred to as golden disks or
golden images, you can save time by importing those virtual disks into
GDC air-gapped appliance and using the resulting image to create virtual
machines. The import tool supports RAW and QCOW image formats.
Before you begin
Before continuing, ensure that you have the following:
The gdcloud CLI
downloaded, installed, and configured. All CLI commands for
GDC use the gdcloud or kubectl CLI, and require
an operating system (OS) environment.
Access to the Management API server. Follow the CLI steps in
Sign in
to sign in to the Management API server.
Request permissions and access
To perform the tasks listed in this page, you must have the Project
VirtualMachine Admin and Project VirtualMachine Image Admin roles. Follow the
steps to either
verify
or have your Project IAM Admin
assign
you the Project VirtualMachine Admin (project-vm-admin) and the Project
VirtualMachine Image Admin (project-vm-image-admin) roles in the namespace
of the project where the VM resides.
For VM operations using the GDC console or the gdcloud CLI,
request your Project IAM Admin to assign you the roles listed in the previous
paragraph and the Project Viewer (project-viewer) role.
To get the permissions you need to import images, ask your Organization IAM
Admin to grant you the Project VirtualMachine Image Admin
(project-vm-image-admin) role for your project.
gdcloud
Use the gdcloud compute images import command to create a bootable image.
The import command ensures that the disk has the required packages,
including the guest environment, which is required to configure credentials
for connecting to the instance using secure shell (SSH) on Linux and Remote
Desktop Protocol (RDP) on Windows.
On Linux, the command also installs packages for network time protocol (NTP)
and cloud-init for the instance to run properly in
GDC.
You can import virtual disk files directly from your workstation. The import
tool automatically uploads the file to an object storage bucket in your
project.
IMAGE_NAME: the name of your destination image. The
name must be no longer than 35 characters.
SOURCE_FILE: your virtual disk file. This file is a
local file on your workstation. You can provide an absolute or relative
path.
IMAGE_OS: the OS on the disk to import.
TIMEOUT: the time an import can last before it fails
with "TIMEOUT". For example, if you specify 2h, the process fails after 2 hours.
The default timeout is 1h.
The upload operation can take an extended period of time depending on the size
of your virtual disk and the speed of your network connection. The import
operation can take tens of minutes to run depending on the size of the disk.
API
Before starting the import process with the API, you need to upload your
virtual disk to an object storage bucket named vm-images-bucket. To create
an object storage bucket, see
Create storage buckets for projects.
To import a virtual disk through the API, do the following:
Create a VirtualMachineImageImport object in the Management API server to start the
image import process:
The name of the image to import. The name must be no longer than 35 characters.
PROJECT_ID
The project ID for the project where you want to import the image.
SOURCE_FILE
The name of the source file that contains the upload of the virtual disk to object storage. This value is the section of the object storage path after vm-images-bucket/.
OPERATING_SYSTEM
The OS on the disk to import.
DISK_SIZE
The minimum size a disk must have to be created with this image. We recommend that at least a 20% buffer is used on top of the file system size of the original image. For example: use at least 12 GiB for a virtual disk with original file system size 10 GiB.
Monitor the progress of the import by querying the status of the
VirtualMachineImageImport object:
The import process involves uploading your virtual disk file to object storage.
If you use the gdcloud CLI, the object is cleaned up when the command
finishes, whether or not it was successful. If the command is interrupted, or
the image import is done with the API, the virtual disk file might remain in
the object storage bucket named vm-images-bucket until you manually delete
the file.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-09-04 UTC."],[[["\u003cp\u003eYou can import existing virtual disks (golden disks/images) from your on-premises environment into the GDC air-gapped appliance, saving time when creating new virtual machines.\u003c/p\u003e\n"],["\u003cp\u003eThe import tool supports both RAW and QCOW image formats and can be done through the \u003ccode\u003egdcloud\u003c/code\u003e CLI or the Virtual Machine Manager API, requiring the "Project VirtualMachine Image Admin" role.\u003c/p\u003e\n"],["\u003cp\u003eThe \u003ccode\u003egdcloud\u003c/code\u003e CLI allows direct import from your workstation, while the API requires you to first upload the virtual disk to an object storage bucket named \u003ccode\u003evm-images-bucket\u003c/code\u003e.\u003c/p\u003e\n"],["\u003cp\u003eThe \u003ccode\u003eimport\u003c/code\u003e command via the \u003ccode\u003egdcloud\u003c/code\u003e CLI ensures the disk has necessary packages, such as the guest environment for SSH or RDP and on Linux packages for NTP and \u003ccode\u003ecloud-init\u003c/code\u003e, for proper instance operation in GDC.\u003c/p\u003e\n"],["\u003cp\u003eAfter a successful import, a virtual machine instance can be created that utilizes the imported image.\u003c/p\u003e\n"]]],[],null,["# Import virtual disks\n\nIf you have virtual disks in your on-premises environment with software and\nconfigurations that you need, occasionally referred to as *golden disks* or\n*golden images*, you can save time by importing those virtual disks into\nGDC air-gapped appliance and using the resulting image to create virtual\nmachines. The import tool supports RAW and QCOW image formats.\n\nBefore you begin\n----------------\n\nBefore continuing, ensure that you have the following:\n\n- The [gdcloud CLI](/distributed-cloud/hosted/docs/latest/appliance/resources/gdcloud-overview) downloaded, installed, and configured. All CLI commands for GDC use the `gdcloud` or `kubectl` CLI, and require an operating system (OS) environment.\n\n\u003c!-- --\u003e\n\n- Access to the Management API server. Follow the CLI steps in\n [Sign in](/distributed-cloud/hosted/docs/latest/appliance/application/ao-user/iam/sign-in#cli)\n to sign in to the Management API server.\n\n | **Note:** Record the path to the generated file, such as `/tmp/org-1-admin-kubeconfig.yaml`. Use the path to replace \u003cvar translate=\"no\"\u003eMANAGEMENT_API_SERVER_KUBECONFIG\u003c/var\u003e in these instructions.\n\n### Request permissions and access\n\nTo perform the tasks listed in this page, you must have the Project\nVirtualMachine Admin and Project VirtualMachine Image Admin roles. Follow the\nsteps to either\n[verify](/distributed-cloud/hosted/docs/latest/appliance/application/ao-user/vms/preparation#verify-user-access)\nor have your Project IAM Admin\n[assign](/distributed-cloud/hosted/docs/latest/appliance/application/ao-user/vms/preparation#grant-user-access-vm-resources)\nyou the Project VirtualMachine Admin (`project-vm-admin`) and the Project\nVirtualMachine Image Admin (`project-vm-image-admin`) roles in the namespace\nof the project where the VM resides.\n\nFor VM operations using the GDC console or the gdcloud CLI,\nrequest your Project IAM Admin to assign you the roles listed in the previous\nparagraph and the Project Viewer (`project-viewer`) role.\n\nImport virtual disks\n--------------------\n\nYou can import your virtual disks using either the\ngdcloud CLI or the\n[Virtual Machine Manager API](/distributed-cloud/hosted/docs/latest/appliance/apis/service/virtualmachine/vmm-api-overview).\n\nTo get the permissions you need to import images, ask your Organization IAM\nAdmin to grant you the Project VirtualMachine Image Admin\n(`project-vm-image-admin`) role for your project. \n\n### gdcloud\n\nUse the `gdcloud compute images import` command to create a bootable image.\n\nThe `import` command ensures that the disk has the required packages,\nincluding the guest environment, which is required to configure credentials\nfor connecting to the instance using secure shell (SSH) on Linux and Remote\nDesktop Protocol (RDP) on Windows.\n\nOn Linux, the command also installs packages for network time protocol (NTP)\nand `cloud-init` for the instance to run properly in\nGDC.\n\nYou can import virtual disk files directly from your workstation. The import\ntool automatically uploads the file to an object storage bucket in your\nproject. \n\n gdcloud compute images import \u003cvar translate=\"no\"\u003eIMAGE_NAME\u003c/var\u003e \\\n --source-file=\u003cvar translate=\"no\"\u003eSOURCE_FILE\u003c/var\u003e \\\n --os=\u003cvar translate=\"no\"\u003eIMAGE_OS\u003c/var\u003e \\\n --timeout=\u003cvar translate=\"no\"\u003eTIMEOUT\u003c/var\u003e\n\nReplace the following variables:\n\n- \u003cvar translate=\"no\"\u003eIMAGE_NAME\u003c/var\u003e: the name of your destination image. The name must be no longer than 35 characters.\n- \u003cvar translate=\"no\"\u003eSOURCE_FILE\u003c/var\u003e: your virtual disk file. This file is a local file on your workstation. You can provide an absolute or relative path.\n- \u003cvar translate=\"no\"\u003eIMAGE_OS\u003c/var\u003e: the OS on the disk to import.\n- \u003cvar translate=\"no\"\u003eTIMEOUT\u003c/var\u003e: the time an import can last before it fails with \"TIMEOUT\". For example, if you specify `2h`, the process fails after 2 hours. The default timeout is `1h`.\n\nThe upload operation can take an extended period of time depending on the size\nof your virtual disk and the speed of your network connection. The import\noperation can take tens of minutes to run depending on the size of the disk.\n\n\u003cbr /\u003e\n\n### API\n\nBefore starting the import process with the API, you need to upload your\nvirtual disk to an object storage bucket named `vm-images-bucket`. To create\nan object storage bucket, see\n[Create storage buckets for projects](/distributed-cloud/hosted/docs/latest/appliance/application/ao-user/create-storage-buckets).\n\nTo import a virtual disk through the API, do the following:\n\n1. Create a `VirtualMachineImageImport` object in the Management API server to start the\n image import process:\n\n kubectl --kubeconfig \u003cvar translate=\"no\"\u003eMANAGEMENT_API_SERVER_KUBECONFIG\u003c/var\u003e \\\n apply -n \u003cvar translate=\"no\"\u003ePROJECT_ID\u003c/var\u003e -f - \u003c\u003cEOF\n apiVersion: virtualmachine.gdc.goog/v1\n kind: VirtualMachineImageImport\n metadata:\n name: \u003cvar translate=\"no\"\u003e\u003cspan class=\"devsite-syntax-l devsite-syntax-l-Scalar devsite-syntax-l-Scalar-Plain\"\u003eIMAGE_NAME\u003c/span\u003e\u003c/var\u003e\n namespace: \u003cvar translate=\"no\"\u003e\u003cspan class=\"devsite-syntax-l devsite-syntax-l-Scalar devsite-syntax-l-Scalar-Plain\"\u003ePROJECT_ID\u003c/span\u003e\u003c/var\u003e\n spec:\n source:\n objectStorage:\n bucketRef:\n name: vm-images-bucket\n objectName: \u003cvar translate=\"no\"\u003e\u003cspan class=\"devsite-syntax-l devsite-syntax-l-Scalar devsite-syntax-l-Scalar-Plain\"\u003eSOURCE_FILE\u003c/span\u003e\u003c/var\u003e\n imageMetadata:\n name: \u003cvar translate=\"no\"\u003e\u003cspan class=\"devsite-syntax-l devsite-syntax-l-Scalar devsite-syntax-l-Scalar-Plain\"\u003eIMAGE_NAME\u003c/span\u003e\u003c/var\u003e\n operatingSystem: \u003cvar translate=\"no\"\u003e\u003cspan class=\"devsite-syntax-l devsite-syntax-l-Scalar devsite-syntax-l-Scalar-Plain\"\u003eOPERATING_SYSTEM\u003c/span\u003e\u003c/var\u003e\n minimumDiskSize: \u003cvar translate=\"no\"\u003e\u003cspan class=\"devsite-syntax-l devsite-syntax-l-Scalar devsite-syntax-l-Scalar-Plain\"\u003eDISK_SIZE\u003c/span\u003e\u003c/var\u003e\n EOF\n\n Replace the following variables:\n\n2. Monitor the progress of the import by querying the status of the\n `VirtualMachineImageImport` object:\n\n kubectl --kubeconfig \u003cvar translate=\"no\"\u003eMANAGEMENT_API_SERVER_KUBECONFIG\u003c/var\u003e \\\n get virtualmachineimageimport --namespace \u003cvar translate=\"no\"\u003ePROJECT_ID\u003c/var\u003e \\\n \u003cvar translate=\"no\"\u003eIMAGE_NAME\u003c/var\u003e -o jsonpath='{.status}'\n\n### Clean up resources\n\nThe import process involves uploading your virtual disk file to object storage.\nIf you use the gdcloud CLI, the object is cleaned up when the command\nfinishes, whether or not it was successful. If the command is interrupted, or\nthe image import is done with the API, the virtual disk file might remain in\nthe object storage bucket named `vm-images-bucket` until you manually delete\nthe file.\n\nWhat's next\n-----------\n\nCreate a new VM instance that uses your image in the page,\n[Create and start a VM](/distributed-cloud/hosted/docs/latest/appliance/application/ao-user/vms/create-a-vm/create-and-start)."]]