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lization for a virtual workstation you can add an nvidia rtx virtual workstation license to your vm for more information about pricing see gpu pricing to set up an nvidia rtx virtual workstation you need to do the following create a vm that has a visualization capable gpu attached and virtual workstation enabled for g2 and g4 vms see create a gpu vm for graphics workloads for n1 vms see create an n1 vm with attached gpus install a driver for the virtual workstation after you create your virtual workstation you can connect to it using a remote desktop protocol such as windows remote desktop protocol rdp hp anyware or vmware horizon view before you begin if you haven t already set up authentication authentication verifies your identity for access to google cloud services and apis to run code or samples from a local development environment you can authenticate to compute engine by selecting one of the following options select the tab for how you plan to use the samples on this page console when you use the google cloud console to access google cloud services and apis you don t need to set up authentication gcloud install the google cloud cli after installation initialize the google cloud cli by running the following command gcloud init if you re using an external identity provider idp you must first sign in to the gcloud cli with your federated identity note if you installed the gcloud cli previously make sure you have the latest version by running gcloud components update set a default region and zone rest to use the rest api samples on this page in a local development environment you use the credentials you provide to the gcloud cli install the google cloud cli if you re using an external identity provider idp you must first sign in to the gcloud cli with your federated identity for more information see authenticate for using rest in the google cloud authentication documentation recommended minimum nvidia virtual gpu software nvidia rtx virtual workstations vws are supported on the following machine series g4 you can enable nvidia rtx pro 6000 vws on these machine types g2 you can enable nvidia l4 vws on these machine types n1 you can enable nvidia t4 v100 or p100 vws gpus on these machine types the following table provides the recommended nvidia virtual gpu software software for these machine types nvidia vgpu software version supported machine series and gpu model recommended nvidia driver linux recommended nvidia driver windows vgpu branch type vgpu software eos date 20 g4 rtx pro 6000 g2 l4 n1 t4 p100 latest r595 driver latest r595 driver production branch march 2027 19 g4 rtx pro 6000 g2 l4 n1 t4 v100 p100 latest r580 driver latest r580 driver long term support branch july 2028 limitations for ubuntu 24 04 nvidia rtx virtual workstations the available nvidia grid driver versions might not fully support direct rendering infrastructure 3 dri3 this lack of full support can affect gpu acceleration for certain desktop applications and virtual desktop environments such as virtual network computing vnc and chromium if you need to run these applications use ubuntu 22 04 automated driver installation you can use an open source script from github to automate the installation of rtx virtual workstation drivers this is the same script used for regular driver installation it automatically detects that your instance has rtx virtual workstation enabled and installs the correct driver linux use these instructions to install gpu drivers on a running compute instance supported operating systems the linux installation script was tested on the following operating systems debian 12 and 13 red hat enterprise linux rhel 8 9 and 10 rocky linux 8 9 and 10 ubuntu 22 and 24 if you use this script on other operating systems the installation might fail this script can install nvidia driver as well as cuda toolkit to install the gpu drivers and cuda toolkit complete the following steps if you have version 2 38 0 or later of the ops agent collecting gpu metrics on your compute instance you must stop the agent before you can install or upgrade your gpu drivers using this installation script to stop the ops agent run the following command sudo systemctl stop google cloud ops agent ensure that python 3 is installed on your operating system download the installation script curl l https storage googleapis com compute gpu installation us installer latest cuda_installer pyz output cuda_installer pyz run the installation script sudo python3 cuda_installer pyz install_driver the script takes several minutes to run it might restart your compute instance when the compute instance restarts run the script again with the same parameters to continue the installation verify the installation see verify the gpu driver install you can also use this tool to install the cuda toolkit to install the cuda toolkit run the following command sudo python3 cuda_installer pyz install_cuda the script takes several minutes to run it might restart your compute instance if the compute instance restarts run the script again to continue the installation verify the cuda toolkit installation python3 cuda_installer pyz verify_cuda after you complete the installation you must reboot the compute instance linux startup script use these instructions to install gpu drivers during startup of a compute instance supported operating systems the linux installation script was tested on the following operating systems debian 12 and 13 red hat enterprise linux rhel 8 9 and 10 rocky linux 8 9 and 10 ubuntu 22 and 24 if you use this script on other operating systems the installation might fail this script can install nvidia driver as well as cuda toolkit to automate the driver and cuda toolkit installation use the following startup script bin bash if test f opt google cuda installer then exit fi mkdir p opt google cuda installer cd opt google cuda installer exit if test f cuda_installation then exit fi curl fssl o https storage googleapis com compute gpu installation us installer latest cuda_installer pyz python3 cuda_installer pyz install_cuda to install only the driver without cuda toolkit replace install_cuda in the last line of the script with install_driver windows this installation script can be used on gpu instances that have secure boot enabled it supports windows server 2019 and later this script installs an nvidia rtx virtual workstation vws compatible driver if you don t have a vws license vws features won t be available on your instance open a powershell terminal as an administrator then complete the following steps download the script invoke webrequest https github com googlecloudplatform compute gpu installation raw main windows install_gpu_driver ps1 outfile c install_gpu_driver ps1 run the script c install_gpu_driver ps1 the script takes several minutes to run no command prompts are given during the installation process after the script exits the driver is installed this script installs the drivers in the following default location on your vm c program files nvidia corporation verify the installation see verify the gpu driver install windows automated to automatically install gpu drivers on windows machine first boot set the sysprep specialize script url metadata key for the new instance to https github com googlecloudplatform compute gpu installation raw main windows install_gpu_driver ps1 for more information about using startup scripts on windows machines see use startup scripts on windows vms this script installs the drivers in the following default location on your vm c program files nvidia corporation manual driver installation manual installation is an alternative to using the automated installation script you might choose this method if you need to use a specific driver version required by your application if you are operating in a restricted network environment with limited outbound connectivity or if you require more granular control over the installation process for troubleshooting complete the following steps on your vm for linux operating systems install the build tools for your linux version centos or rhel sudo yum group install development tools debian or ubuntu install the build tools sudo apt update sudo apt install y build essential sudo apt install y libvulkan1 if you are using ubuntu 22 04 update the gcc version for the nvidia driver sudo apt install y gcc 12 sudo apt install y linux headers uname r sudo update alternatives install usr bin gcc gcc usr bin gcc 12 12 sudo update alternatives config gcc sles sles 12 sudo zypper install t pattern devel_basis sudo zypper install gcc8 sles 15 sudo suseconnect p sle module development tools 15 x86_64 sudo zypper install gcc8 for linux operating systems install the linux kernel headers see pre installation actions for your operating system in the nvidia documentation for all operating systems install drivers caution the drivers provided in this section are for use with compute engine only if you need drivers for other platforms see the nvidia driver download page linux identify the driver version that you need to download for a full list of nvidia rtx virtual workstation drivers that you can use on compute engine see drivers for nvidia rtx virtual workstations vws from this table copy the filename for your required driver download the driver by running the following command gcloud storage cp gs nvidia drivers us public grid filename replace filename with the filename that you identified in the previous step for example to download the vgpu 20 1 driver run the following command gcloud storage cp gs nvidia drivers us public grid vgpu20 1 nvidia linux x86_64 595 71 05 grid run start the installer by running the following command sudo bash driver_name replace driver_name with the driver that you downloaded in the previous step for example to start the installer for the vgpu 20 1 driver run the following command sudo bash nvidia linux x86_64 595 71 05 grid run during the installation choose the following options if you are prompted to install 32 bit binaries select yes if you are prompted to modify the x org file select no windows server identify the driver version that you need to download for a full list of nvidia rtx virtual workstation drivers that you can use on compute engine see drivers for nvidia rtx virtual workstations vws from this table copy the filename for your required driver download the driver by opening a powershell and running the following command in this command replace filename with the filename that you identified in the previous step gcloud storage cp gs nvidia drivers us public grid filename for example to download the vgpu 20 1 driver installer open powershell and run the following command gcloud storage cp gs nvidia drivers us public grid vgpu20 1 596 36_grid_win10_win11_server2022_server_2025_dch_64bit_international exe run the installer and choose the express installation after the installation is complete restart the vm when you restart you are disconnected from your session reconnect to your instance using rdp or a pcoip client this step is only required for linux based nvidia rtx virtual workstation with attached t4 or l4 gpus if you installed an nvidia 510 or later driver you need to disable the gsp firmware see disabling gsp firmware in the nvidia documentation when completing this step keep the following in mind use sudo to run the commands to create and update the configuration file to reboot the vm you can use sudo reboot or stop and start the vm verify that the driver is installed linux after you install the drivers verify that the driver is installed and that the nvidia rtx virtual workstation license is active to verify the driver installation run the following command nvidia smi the output of the command looks similar to the following nvidia smi 595 71 05 driver version 595 71 05 cuda version 13 2 gpu name persistence m bus id disp a volatile uncorr ecc fan temp perf pwr usage cap memory usage gpu util compute m mig m 0 nvidia l4 on 00000000 00 03 0 off 0 n a 43c p8 13w 72w 1mib 23034mib 0 default n a processes gpu gi ci pid type process name gpu memory id id usage no running processes found to verify the nvidia rtx virtual workstation license run the following command nvidia smi q to validate gpu acceleration for desktop applications look for the vgpu software licensed product section in the output on a properly licensed nvidia rtx virtual workstation vm you should see the following vgpu software licensed product product name nvidia rtx virtual workstation license status licensed expiry permanent this output indicates that the driver is functioning and able to provide accelerated graphics if you see a different output the driver is not licensed for nvidia rtx virtual workstation and you won t get gpu acceleration for example if the vm wasn t created with the correct accelerator type that enables vws you might see the following output vgpu software licensed product product name nvidia virtual applications license status licensed expiry n a this can happen if the vm was not created with the nvidia rtx virtual workstation license enabled to resolve this issue you must recreate your vm using a gpu model that supports nvidia rtx virtual workstation and make sure to enable the virtual workstation when you attach the gpus for detailed instructions review the create an instance instruction for your machine type windows server connect to your windows instance using rdp or a pcoip client right click the desktop and select nvidia control panel in the nvidia control panel from the help menu select system information the information shows the gpu that the vm is using and the driver version what s next to monitor gpu performance see monitor gpu performance to handle gpu host maintenance see handling gpu host maintenance events to improve network performance see use higher network bandwidth send feedback except as otherwise noted the content of this page is licensed under the creative commons attribution 4 0 license and code samples are licensed under the apache 2 0 license for details see the google developers site policies java is a registered trademark of oracle and or its affiliates last updated 2026 07 14 utc need to tell us more 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 2026 07 14 utc products and pricing see all products google cloud pricing google cloud marketplace contact sales support community forums support release notes system status resources github getting started with google cloud code samples cloud architecture center training and certification engage blog events x twitter google cloud on youtube google cloud tech on youtube about 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