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Capturing configuration data for filing a bug report. Capturing configuration data by running nvidia-bug-report. Allocation Strategies. Maximizing Performance. Configuring the Xorg Server on the Linux Server. Installing and Configuring x11vnc on the Linux Server. Opening a dom0 shell. Accessing the dom0 shell through XenCenter. Accessing the dom0 shell through an SSH client. Copying files to dom0. Copying files by using an SCP client.

Copying files by using a CIFS-mounted file system. Changing dom0 vCPU Default configuration. Changing the number of dom0 vCPUs. Pinning dom0 vCPUs. How GPU locality is determined. Management objects for GPUs. Listing the pgpu Objects Present on a Platform. Viewing Detailed Information About a pgpu Object.

Listing the vgpu-type Objects Present on a Platform. Viewing Detailed Information About a vgpu-type Object. Listing the gpu-group Objects Present on a Platform. Viewing Detailed Information About a gpu-group Object. Creating a vGPU Using xe. Controlling vGPU allocation. Citrix Hypervisor Performance Tuning. Citrix Hypervisor Tools. Using Remote Graphics. Disabling Console VGA. Configure the platform for remote access. Note: Citrix Hypervisor provides a specific setting to allow the primary display adapter to be used for GPU pass through deployments.

Figure 1. Note: These APIs are backwards compatible. Older versions of the API are also supported. These tools are supported only in Linux guest VMs. Note: Unified memory is disabled by default. Additional vWS Features In addition to the features of vPC and vApps , vWS provides the following features: Workstation-specific graphics features and accelerations Certified drivers for professional applications GPU pass through for workstation or professional 3D graphics In pass-through mode, vWS supports multiple virtual display heads at resolutions up to 8K and flexible virtual display resolutions based on the number of available pixels.

The Ubuntu guest operating system is supported. Troubleshooting provides guidance on troubleshooting. Figure 2. Figure 3.

Figure 4. Series Optimal Workload Q-series Virtual workstations for creative and technical professionals who require the performance and features of Quadro technology C-series Compute-intensive server workloads, such as artificial intelligence AI , deep learning, or high-performance computing HPC 2 , 3 B-series Virtual desktops for business professionals and knowledge workers A-series App streaming or session-based solutions for virtual applications users 6.

The type of license required depends on the vGPU type. A-series vGPU types require a vApps license. Virtual Display Resolutions for Q-series and B-series vGPUs Instead of a fixed maximum resolution per display, Q-series and B-series vGPUs support a maximum combined resolution based on the number of available pixels, which is determined by their frame buffer size.

The number of virtual displays that you can use depends on a combination of the following factors: Virtual GPU series GPU architecture vGPU frame buffer size Display resolution Note: You cannot use more than the maximum number of displays that a vGPU supports even if the combined resolution of the displays is less than the number of available pixels from the vGPU.

Figure 5. Preparing packages for installation Figure 7. Figure 8. Running the nvidia-smi command should produce a listing of the GPUs in your platform. A Volatile Uncorr. Note: If you are using Citrix Hypervisor 8. Figure 9. For each vGPU for which you want to set plugin parameters, perform this task in a command shell in the Citrix Hypervisor dom0 domain. Do not perform this task on a system where an existing version isn’t already installed. If you perform this task on a system where an existing version isn’t already installed, the Xorg service when required fails to start after the NVIDIA vGPU software driver is installed.

If you do not change the default graphics type, VMs to which a vGPU is assigned fail to start and the following error message is displayed: The amount of graphics resource available in the parent resource pool is insufficient for the operation. Note: If you are using a supported version of VMware vSphere earlier than 6.

Figure Shared default graphics type. Host graphics settings for vGPU. Shared graphics type. Graphics device settings for a physical GPU. Shared direct graphics type. VM settings for vGPU. The VM is powered off. Make the mdev device file that you created to represent the vGPU persistent.

If your release does not include the mdevctl command, you can use standard features of the operating system to automate the re-creation of this device file when the host is booted. For example, you can write a custom script that is executed when the host is rebooted. Enable the virtual functions for the physical GPU in the sysfs file system.

Note: Before performing this step, ensure that the GPU is not being used by any other processes, such as CUDA applications, monitoring applications, or the nvidia-smi command. The virtual functions for the physical GPU in the sysfs file system are disabled after the hypervisor host is rebooted or if the driver is reloaded or upgraded.

Note: Only one mdev device file can be created on a virtual function. Not all Linux with KVM hypervisor releases include the mdevctl command.

Before you begin, ensure that the following prerequisites are met: You have the domain, bus, slot, and function of the GPU where the vGPU that you want to delete resides. Before you begin, ensure that you have the domain, bus, slot, and function of the GPU that you are preparing for use with vGPU. You have root user privileges on your hypervisor host machine. In this situation, stop all processes that are using the GPU and retry the command.

Note: If you are using VMware vSphere, omit this task. After the VM is booted and guest driver is installed, one compute instance is automatically created in the VM. To avoid an inconsistent state between a guest VM and the hypervisor host, do not create compute instances from the hypervisor on a GPU instance on which an active guest VM is running.

Note: Additional compute instances that have been created in a VM are destroyed when the VM is shut down or rebooted. After the shutdown or reboot, only one compute instance remains in the VM. Perform this task in your hypervisor command shell. ECC memory can be enabled or disabled for individual VMs. For a physical GPU, perform this task from the hypervisor host. Note: You cannot use more than four displays even if the combined resolution of the displays is less than the number of available pixels from the GPU.

Do not assign pass-through GPUs using the legacy other-config:pci parameter setting. This mechanism is not supported alongside the XenCenter UI and xe vgpu mechanisms, and attempts to use it may lead to undefined results. A virtual disk has been created. Before you begin, ensure that you have the domain, bus, slot, and function of the GPU that you are preparing for use in pass-through mode.

Ensure that the following prerequisites are met: Windows Server with Desktop Experience and the Hyper-V role are installed and configured on your server platform, and a VM is created. Note: You can assign a pass-through GPU and, if present, its audio device to only one virtual machine at a time.

Update xorg. When booted on a supported GPU, a vGPU initially operates at full capability but its performance is degraded over time if the VM fails to obtain a license.

If the performance of a vGPU has been degraded, the full capability of the vGPU is restored when a license is acquired. The ports in your firewall or proxy to allow HTTPS traffic between the service instance and the licensed client must be open. For a DLS instance, ports , 80, , and must be open.

Configuring a Licensed Client on Windows Perform this task from the client. Note: If you are upgrading an existing driver, this value is already set. The folder is mapped locally on the client to the path specified in the ClientConfigTokenPath registry value. Configuring a Licensed Client on Linux Perform this task from the client. To prevent a segmentation fault in DBus code from causing the nvidia-gridd service from exiting, the GUI for licensing must be disabled with these OS versions.

This policy generally leads to higher performance because it attempts to minimize sharing of physical GPUs, but it may artificially limit the total number of vGPUs that can run. This policy generally leads to higher density of vGPUs, particularly when different types of vGPUs are being run, but may result in lower performance because it attempts to maximize sharing of physical GPUs. Each hypervisor uses a different GPU allocation policy by default.

Citrix Hypervisor uses the depth-first allocation policy. The VM is running. ECC memory configuration enabled or disabled on both the source and destination hosts must be identical. A required migration feature is not supported on the “Source” host ‘ host-name ‘. A warning or error occurred when migrating the virtual machine. Virtual machine relocation, or power on after relocation or cloning can fail if vGPU resources are not available on the destination host. Perform this task in the VMware vSphere web client.

Ensure that the following prerequisites are met: You have root user privileges in the guest VM. The GPU instance is not being used by any other processes, such as CUDA applications, monitoring applications, or the nvidia-smi command. Perform this task in a guest VM command shell. Note: If the GPU instance is being used by another process, this command fails. In this situation, stop all processes that are using the GPU instance and retry the command.

Perform this task for each vGPU that requires unified memory by using the xe command. Multiple CUDA contexts cannot be profiled simultaneously.

Profiling data is collected separately for each context. You can monitor the performance of pass-through GPUs only from within the guest VM that is using them. Help Information Command A list of subcommands supported by the nvidia-smi tool. FBC session type FBC session flags Capture mode Maximum horizontal resolution supported by the session Maximum vertical resolution supported by the session Horizontal resolution requested by the caller in the capture call Vertical resolution requested by the caller in the capture call Moving average of new frames captured per second by the session Moving average new frame capture latency in microseconds for the session To modify the reporting frequency, use the —l or –loop option.

Map Class. To use nvidia-smi to retrieve statistics for the total resource usage by all applications running in the VM, run the following command: nvidia-smi dmon The following example shows the result of running nvidia-smi dmon from within a Windows guest VM.

Using nvidia-smi from a Windows guest VM to get total resource usage by all applications. Using nvidia-smi from a Windows guest VM to get resource usage by individual applications. For workloads that require maximum throughput, a longer time slice is optimal.

Typically, these workloads are applications that must complete their work as quickly as possible and do not require responsiveness, such as CUDA applications. A longer time slice increases throughput by preventing frequent switching between VMs.

For convenience, the documentation below includes instructions on installing podman on RHEL 8. On RHEL 8, check if the container-tools module is available:. Now, proceed to install the container-tools module, which will install podman :.

Once, podman is installed, check the version:. For podman , we need to use the nvidia-container-toolkit package. Once the package installation is complete, ensure that the hook has been added:. To be able to run rootless containers with podman , we need the following configuration change to the NVIDIA runtime:. If the user running the containers is a privileged user e. Warning If you are migrating fron nvidia-docker 1. See also Follow the official instructions for more details and post-install actions.

Note Note that in some cases the downloaded list file may contain URLs that do not seem to match the expected value of distribution which is expected as packages may be used for all compatible distributions. As an examples: For distribution values of ubuntu Note If running apt update after configuring repositories raises an error regarding a conflict in the Signed-By option, see the relevant troubleshooting section. A Volatile Uncorr. MIG M. This message shows that your installation appears to be working correctly.

To generate this message, Docker took the following steps: 1. The Docker client contacted the Docker daemon. The Docker daemon pulled the “hello-world” image from the Docker Hub. The Docker daemon created a new container from that image which runs the executable that produces the output you are currently reading. The Docker daemon streamed that output to the Docker client, which sent it to your terminal. See also More information is available in the KB article. Docker version 1. Hello from Docker!

Note On POWER ppc64le platforms, the following package should be used: nvidia-container-hook instead of nvidia-container-toolkit. From Wikipedia, the free encyclopedia. Hosted hypervisor for Windows and Linux. Current operating systems compatibility matrix [95] [96] [97] Operating system Workstation release Windows 11 Bibcode : CSE ISSN S2CID Retrieved 23 July VMware Workstation 9 Documentation Center. Retrieved 12 December Archived from the original on Retrieved Retrieved 11 May Download site for VMware Player 7.

Retrieved 13 April The Register. ARS Technica. Archived from the original on 13 October Retrieved 8 November Archived from the original on 27 November Archived from the original on 1 August Archived from the original on 13 February Archived from the original on 8 August Retrieved 24 August Retrieved 11 December Retrieved 1 June Retrieved 8 September Retrieved 29 October Retrieved 14 November Retrieved 14 March Retrieved 2 April VMware Knowledge Base. September 25, Retrieved January 26, September 24, September 21, Retrieved December 2, Katz January 16, October 15, Retrieved 27 April Retrieved 19 October VMware Workstation v14 September continued to be free for non-commercial use.

VMware, Inc. VMware Workstation 12 Player is a streamlined desktop virtualization application that runs one or more operating systems on the same computer without rebooting. Archived from the original on 11 October Retrieved 28 January Retrieved 2 June Virtualization software. Comparison of platform virtualization software. Docker lmctfy rkt. Rump kernel User-mode Linux vkernel. BrandZ cgroups chroot namespaces seccomp.

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