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by using compact placement policies optimize tcp network communication optimize tcp network performance optimize tcp network resiliency benchmark higher bandwidth vms optimize app latency with load balancing use dpdk to improve network performance network performance and gpu vms networking and gpu machines use higher network bandwidth patterns for using multiple host nics troubleshoot general tips troubleshoot connectivity troubleshoot rdp troubleshoot ssh troubleshoot os login troubleshoot vms troubleshoot vm operations troubleshoot vm creation troubleshoot resource availability errors troubleshoot bulk api vm creation troubleshoot vm reboots and shutdowns troubleshoot vm suspension troubleshoot vm updates troubleshoot unresponsive vms troubleshoot vm startup troubleshoot fstab errors troubleshoot kernel panic collecting core dumps rescue an inaccessible vm troubleshoot cpu bus locks troubleshoot cpu soft lockups troubleshoot vm configurations troubleshoot arm vms troubleshoot gpu vms troubleshoot nvidia gpu errors generate a nvidia bug report for blackwell gpus troubleshoot nested virtualization troubleshoot using vm screenshots troubleshoot sole tenant nodes troubleshoot vm performance issues troubleshoot sudoers files troubleshoot windows vms troubleshoot windows vms collecting diagnostic information troubleshoot using the serial console troubleshoot using the serial console viewing serial port output troubleshoot instance groups troubleshoot managed instance groups migs troubleshoot os management troubleshoot licenses troubleshoot image import and export troubleshooting sles pay as you go registration troubleshooting ubuntu pro registration troubleshoot metadata server troubleshoot metadata server troubleshoot networking issues troubleshoot common networking issues troubleshoot network drivers troubleshoot vm performance issues troubleshoot storage troubleshoot disk creation troubleshoot full disks and disk resizing troubleshoot disk encryption troubleshoot nvme disks troubleshoot instant snapshots troubleshoot standard snapshots troubleshoot reservations and commitments troubleshoot reservation creation troubleshoot reservation consumption troubleshooting reservation monitoring troubleshoot reservation updates troubleshoot future reservation creation and updates troubleshoot automatic commitment renewal troubleshoot quota errors troubleshoot concurrent operation quota errors troubleshoot workload authentication troubleshoot default service accounts troubleshoot workload to workload authentication ai and ml application development application hosting compute data analytics and pipelines databases distributed hybrid and multicloud industry solutions migration networking observability and monitoring security storage access and resources management costs and usage management infrastructure as code sdk languages frameworks and tools home documentation compute compute engine guides send feedback install drivers for nvidia rtx virtual workstations vws stay organized with collections save and categorize content based on your preferences linux windows if you need gpus for hardware accelerated graphics on a remote desktop or for gaming you can create virtual workstations that use nvidia rtx virtual workstations vws formerly known as nvidia grid nvidia rtx virtual workstations are ideal for running workloads that use apis such as vulkan opengl or direct3d on a cloud remote desktop when you select a gpu that supports visualization 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 ...
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