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sues 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 create a virtual gpu accelerated linux workstation stay organized with collections save and categorize content based on your preferences this tutorial shows how to create a virtual linux workstation running ubuntu 22 04 with an attached display capable gpu google cloud offers four display capable gpus nvidia l4 nvidia t4 nvidia p4 and nvidia p100 to create a windows workstation see the tutorial for creating a virtual gpu accelerated windows workstation note this tutorial helps you create a virtual workstation that can take advantage of hardware graphics acceleration for information about other types of virtual workstations that you can create on google cloud see creating a virtual workstation after you create the virtual workstation you learn how to remotely access it using hp anyware formerly teradici cas using pc over ip pcoip technology a remote desktop protocol widely used in the media and entertainment game development architecture and engineering industries pcoip offers features essential to these types of workloads such as color accuracy support for multiple monitors lossless display and tablet pressure sensitivity this tutorial assumes you are familiar with the linux command line objectives create a compute engine instance with a gpu this instance serves as the foundation for a virtual workstation install nvidia drivers on the virtual workstation install hp anyware software on the virtual workstation connect to the virtual workstation using a pcoip software client note this tutorial does not include advanced security features such as fine grained ssh key management certificate issuance or multi factor authentication mfa a full deployment requires a connection broker and domain controller which help enable a stronger security profile for connecting to virtual workstations costs this tutorial uses the following billable component of google cloud compute engine you can use the pricing calculator to generate a cost estimate based on your projected usage the resources that make up the virtual workstation and the factors that affect cost in this tutorial are 8 vcpus 32 gb ram g2 standard machine type which includes an nvidia l4 virtual workstation gpu 100 gb ssd persistent boot disk internet outbound data transfer costs internet data transfer represents data that streams from your virtual workstation to your local display client and is billed at internet outbound data transfer costs variables that affect data transfer during a pcoip session are bandwidth screen resolution number of display monitors applications used and the type of activity on each monitor the hp anyware session planning guide can help you understand different workload requirements note costs differ depending on region and connection method these estimated costs are based on connection over the public internet with resources located in the us central1 region iowa before you begin this tutorial uses the google cloud cli which you can run from a cloud shell instance launched from the google cloud console if you want to use gcloud cli on your local workstation install the google cloud cli the tutorial shows you how to run commands in cloud shell if you use the gcloud cli on your workstation adjust the instructions accordingly sign in to your google cloud account if you re new to google cloud create an account to evaluate how our products perform in real world scenarios new customers also get 300 in free credits to run test and deploy workloads in the google cloud console on the project selector page select or create a google cloud project roles required to select or create a project select a project selecting a project doesn t require a specific iam role you can select any project that you ve been granted a role on create a project to create a project you need the project creator role roles resourcemanager projectcreator which contains the resourcemanager projects create permission learn how to grant roles note if you don t plan to keep the resources that you create in this procedure create a project instead of selecting an existing project after you finish these steps you can delete the project removing all resources associated with the project go to project selector verify that billing is enabled for your google cloud project enable the compute engine api roles required to enable apis to enable apis you need the serviceusage services enable permission if you created the project then you likely already have this permission through the owner role roles owner otherwise you can get this permission through the service usage admin role roles serviceusage serviceusageadmin learn how to grant roles enable the api in the google cloud console on the project selector page select or create a google cloud project roles required to select or create a project select a project selecting a project doesn t require a specific iam role you can select any project that you ve been granted a role on create a project to create a project you need the project creator role roles resourcemanager projectcreator which contains the resourcemanager projects create permission learn how to grant roles note if you don t plan to keep the resources that you create in this procedure create a project instead of selecting an existing project after you finish these steps you can delete the project removing all resources associated with the project go to project selector verify that billing is enabled for your google cloud project enable the compute engine api roles required to enable apis to enable apis you need the serviceusage services enable permission if you created the project then you likely already have this permission through the owner role roles owner otherwise you can get this permission through the service usage admin role roles serviceusage serviceusageadmin learn how to grant roles enable the api in addition make sure you have the following a google cloud project with quota for nvidia l4 virtual workstation gpus in your selected zone you can get a listing of gpu availability using the gcloud compute accelerator types list command a google chrome browser to access the google cloud console the latest pcoip client software for windows mac or linux to access the virtual workstation an account on help teradici com to download the hp anyware software account registration is free an hp anyware software license you can request a trial license or contact your hp representative and ask for a trial registration code to use for this virtual workstation architecture the following diagram shows the components used in this tutorial to deploy a single virtual workstation optional components shown in the diagram include different ways to connect to your virtual workstation shared storage an additional instance for serving third party licenses and additional infrastructure representing a render or compute farm choose a region an important factor when you deploy a virtual workstation is the latency between your location and the instance you create the lower the latency the better the experience therefore you want to work in a region that s geographically closest to you to learn more about where the different gpus are available see gpu regions and zones availability open cloud shell if you re using the gcloud cli open a terminal window on your computer go to cloud shell get a list of the zones in which gpus are available gcloud compute accelerator types list take note of the region and zone that s physically closest to you set the zone that you want to work with gcloud config set compute zone zone replace zone with the name of the zone you re using such as us west1 b choose a machine type nvidia l4 gpus are attached to the g2 machine type virtual machines with one or more gpus have a maximum number of vcpus for each gpu you add to the instance for example each nvidia l4 gpu lets you have up to 32 vcpus and up to 128 gb of memory in your instance machine type to see the available vcpu and memory ranges for different gpu configurations see the gpus list the example in this tutorial consists of an 8 vcpu g2 virtual workstation which is well under the limit of 32 vcpus for a single nvidia l4 gpu create the virtual workstation note there are some restrictions to keep in mind when creating a virtual workstation with attached gpus restrictions that apply to this tutorial have been addressed but it s a good idea to familiarize yourself with these restrictions before you create your virtual workstation in cloud shell create the compute engine virtual workstation instance gcloud compute instances create vm_name zone zone machine type machine_type accelerator type accelerator count num gpus maintenance policy terminate image project ubuntu os cloud image family ubuntu 2204 lts boot disk size size boot disk type type network network replace the following vm_name is the name of your workstation zone is the zone in which to create the vm machine_type is the predefined or custom machine configuration accelerator is the type of gpu you want to attach such as nvidia l4 vws num gpus is the number of gpus to attach to the vm size is the size of the boot disk in gigabytes type is the type of boot disk to get a list of available disk types run gcloud compute disk types list network is the network in which to create the vm for example gcloud compute instances create test workstation zone us west1 b machine type g2 standard 8 accelerator type nvidia l4 vws count 1 maintenance policy terminate image project ubuntu os cloud image family ubuntu 2204 lts boot disk size 100 boot disk type pd ssd network default after the virtual workstation is created the machine status is displayed the output looks similar to the following name test workstation zone us west1 b machine_type g2 standard 8 preemptible internal_ip 10 138 xx xxx external_ip xx xxx xxx xxx status running note the virtual workstation s external ip address you will use it later in the tutorial you can retrieve the external ip address of your virtual workstation at any time using the google cloud console sign in to your virtual workstation after you create the virtual workstation you sign in to the machine so that you can configure it in cloud shell connect to the new virtual workstation gcloud compute ssh vm_name set your account password logging into a virtual workstation using the pcoip software client requires a user password sudo passwd whoami when you re prompted enter a password you will use this password later in the tutorial to log on to your virtual workstation with the hp anyware pcoip client install the base libraries the default google cloud ubuntu 22 04 image is a minimal installation of ubuntu the next step is to install libraries that are necessary to run your virtual workstation as a graphics workstation update the software repositories sudo apt update install the base components sudo apt install y build essential sudo apt install y libvulkan1 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 install the nvidia driver nvidia l4 nvidia t4 nvidia p4 and nvidia p100 gpus work on google cloud only with qualified nvidia rtx virtual workstation drivers for visualization workloads these drivers can be downloaded from a public google cloud storage bucket to install the latest nvidia rtx virtual workstation driver follow the instructions steps 3 and 4 only reboot the workstation sudo reboot install the desktop environment a desktop environment is necessary to run your virtual workstation as a graphics workstation for this tutorial you install the kde plasma desktop install the desktop environment sudo apt update sudo apt y install kubuntu desktop sudo apt y install dialog reboot the workstation sudo reboot install hp anyware software hp anyware software provides a graphics agent that runs on your virtual workstation delivering the desktop to your hardware or software client note installation may differ if you choose a different linux distribution for more information see hp anyware graphics agent for linux installation guide when the virtual workstation has restarted in cloud shell reconnect to the virtual workstation gcloud compute ssh vm_name add the teradici software repository curl 1slf https dl anyware hp com token pcoip agent cfg setup bash deb sh sudo e distro ubuntu codename jammy bash replace the following token is the download token you can retrieve from the hp anyware graphics agent for linux page under downloads and scripts update the software repositories sudo apt update optional install usb dependencies if you need to support usb devices other than keyboards mice and pointer devices note if you skip this step usb redirection is disabled that means you can t use bridged usb devices sudo apt y install usb vhci dkms install the hp anyware software sudo apt y install pcoip agent graphics register the anyware graphics agent to use the anyware graphics agent you must have an hp anyware license in cloud shell activate your hp anyware software license pcoip register host registration code registration code replace registration code with the code provided to you by hp teradici in...
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