NVIDIA Virtual GPU Software v19.0

XenServer

Virtual GPU Software R580 for XenServer Release Notes

Release information for all users of NVIDIA virtual GPU software and hardware on XenServer.

These Release Notes summarize current status, information on validated platforms, and known issues with NVIDIA vGPU software and associated hardware on XenServer.

1.1. NVIDIA vGPU Software Driver Versions

Each release in this release family of NVIDIA vGPU software includes a specific version of the NVIDIA Virtual GPU Manager, NVIDIA Windows driver, and NVIDIA Linux driver.

NVIDIA vGPU Software VersionNVIDIA Virtual GPU Manager VersionNVIDIA Windows Driver VersionNVIDIA Linux Driver Version
19.0580.65.05580.88580.65.06

For details of which XenServer releases are supported, see Hypervisor Software Releases.

1.2. Compatibility Requirements for the NVIDIA vGPU Manager and Guest VM Driver

The releases of the NVIDIA vGPU Manager and guest VM drivers that you install must be compatible. If you install an incompatible guest VM driver release for the release of the vGPU Manager that you are using, the NVIDIA vGPU fails to load.

See VM running an incompatible NVIDIA vGPU guest driver fails to initialize vGPU when booted.

Note:

You must use NVIDIA License System with every release in this release family of NVIDIA vGPU software. All releases in this release family of NVIDIA vGPU software are incompatible with all releases of the NVIDIA vGPU software license server.

Compatible NVIDIA vGPU Manager and Guest VM Driver Releases

The following combinations of NVIDIA vGPU Manager and guest VM driver releases are compatible with each other.

  • NVIDIA vGPU Manager with guest VM drivers from the same release
  • NVIDIA vGPU Manager from a later major release branch with guest VM drivers from the previous branch
  • NVIDIA vGPU Manager from a later long-term support branch with guest VM drivers from the previous long-term support branch
Note:

When NVIDIA vGPU Manager is used with guest VM drivers from the previous branch, the combination supports only the features, hardware, and software (including guest OSes) that are supported on both releases.

For example, if vGPU Manager from release 19.0 is used with guest drivers from release 16.4, the combination does not support Windows Server 2019 because NVIDIA vGPU software release 19.0 does not support Windows Server 2019.

The following table lists the specific software releases that are compatible with the components in the NVIDIA vGPU software 19 major release branch.

NVIDIA vGPU Software ComponentReleaseCompatible Software Releases
NVIDIA vGPU Manager19.0
  • Guest VM driver release 19.0
  • All guest VM driver 18.x releases
  • All guest VM driver 16.x releases
Guest VM drivers19.0NVIDIA vGPU Manager release 19.0


Incompatible NVIDIA vGPU Manager and Guest VM Driver Releases

The following combinations of NVIDIA vGPU Manager and guest VM driver releases are incompatible with each other.

  • NVIDIA vGPU Manager from a later major release branch with guest VM drivers from a production branch two or more major releases before the release of the vGPU Manager
  • NVIDIA vGPU Manager from an earlier major release branch with guest VM drivers from a later branch

The following table lists the specific software releases that are incompatible with the components in the NVIDIA vGPU software 19 major release branch.

NVIDIA vGPU Software ComponentReleaseIncompatible Software Releases
NVIDIA vGPU Manager19.0All guest VM driver releases 17.x and earlier, except 16.x releases
Guest VM drivers19.0All NVIDIA vGPU Manager releases 18.x and earlier

1.3. Updates in Release 19.0

New Features in Release 19.0

  • New B-series vGPU profiles with 3 GB of frame buffer on supported GPUs based on the NVIDIA Ada Lovelace and NVIDIA Blackwell GPU architectures
  • Miscellaneous bug fixes

Features Deprecated in Release 19.0

NVIDIA vGPU software 19 is the last release branch to support the following graphics cards:

  • Tesla M10
  • Tesla V100 SXM2
  • Tesla V100 SXM2 32GB
  • Tesla V100 PCIe
  • Tesla V100 PCIe 32GB
  • Tesla V100S PCIe 32GB
  • Tesla V100 FHHL
  • Quadro RTX 6000
  • Quadro RTX 6000 passive
  • Quadro RTX 8000
  • Quadro RTX 8000 passive

Disabling strict round robin policy is deprecated and NVIDIA vGPU software 19 is the last release branch to support it. Support for this feature is planned to be removed in the next major release of NVIDIA vGPU software.

This release family of NVIDIA vGPU software provides support for several NVIDIA GPUs on validated server hardware platforms, XenServer hypervisor software versions, and guest operating systems. It also supports the version of NVIDIA CUDA Toolkit that is compatible with R580 drivers.

2.1. Supported NVIDIA GPUs and Validated Server Platforms

This release of NVIDIA vGPU software on XenServer provides support for several NVIDIA GPUs running on validated server hardware platforms.

For a list of validated server platforms, refer to NVIDIA GRID Certified Servers.

The supported products for each type of NVIDIA vGPU software deployment depend on the GPU.

GPUs Based on the NVIDIA Ada Lovelace Architecture

Note:

The manual placement of vGPUs on GPUs in equal-size mode is not supported on GPUs based on the NVIDIA Ada Lovelace architecture.

GPUSR-IOV - XenServer ReleasesMixed vGPU Configuration - XenServer ReleasesSupported NVIDIA vGPU Software Products1, 2, 3
Frame Buffer Size (Mixed-Size Mode)SeriesNVIDIA vGPUGPU Pass Through
NVIDIA L40S

XenServer 8.4

N/A

XenServer 8.4

  • vWS
  • vPC
  • vApps
  • vWS
  • vApps
NVIDIA L40

XenServer 8.4

N/A

XenServer 8.4

  • vWS
  • vPC
  • vApps
  • vWS
  • vApps
NVIDIA L20

XenServer 8.4

N/A

XenServer 8.4

  • vWS
  • vPC
  • vApps
  • vWS
  • vApps
NVIDIA L20 liquid cooled

XenServer 8.4

N/A

XenServer 8.4

  • vWS
  • vPC
  • vApps
  • vWS
  • vApps
NVIDIA L4

XenServer 8.4

N/A

XenServer 8.4

  • vWS
  • vPC
  • vApps
  • vWS
  • vApps
NVIDIA L2

XenServer 8.4

N/A

XenServer 8.4

  • vWS
  • vPC
  • vApps
  • vWS
  • vApps
NVIDIA RTX 6000 Ada

XenServer 8.4

N/A

XenServer 8.4

  • vWS
  • vPC
  • vApps
  • vWS
  • vApps
NVIDIA RTX 5880 Ada

XenServer 8.4

N/A

XenServer 8.4

  • vWS
  • vPC
  • vApps
  • vWS
  • vApps
NVIDIA RTX 5000 Ada

XenServer 8.4

N/A

XenServer 8.4

  • vWS
  • vPC
  • vApps
  • vWS
  • vApps


GPUs Based on the NVIDIA Ampere Architecture

Note:

The manual placement of vGPUs on GPUs in equal-size mode is not supported on GPUs based on the NVIDIA Ampere architecture.

GPUSR-IOV - XenServer ReleasesMixed vGPU Configuration - XenServer ReleasesSupported NVIDIA vGPU Software Products1, 2, 3
Frame Buffer Size (Mixed-Size Mode)SeriesNVIDIA vGPUGPU Pass Through
NVIDIA A404

XenServer 8.4

N/A

XenServer 8.4

  • vWS
  • vPC
  • vApps
  • vWS
  • vApps
NVIDIA A16

XenServer 8.4

N/A

XenServer 8.4

  • vWS
  • vPC
  • vApps
  • vWS
  • vApps
NVIDIA A10

XenServer 8.4

N/A

XenServer 8.4

  • vWS
  • vPC
  • vApps
  • vWS
  • vApps
NVIDIA A2

XenServer 8.4

N/A

XenServer 8.4

  • vWS
  • vPC
  • vApps
  • vWS
  • vApps
NVIDIA RTX A60004

XenServer 8.4

N/A

XenServer 8.4

  • vWS
  • vPC
  • vApps
  • vWS
  • vApps
NVIDIA RTX A55004

XenServer 8.4

N/A

XenServer 8.4

  • vWS
  • vPC
  • vApps
  • vWS
  • vApps
NVIDIA RTX A50004

XenServer 8.4

N/A

XenServer 8.4

  • vWS
  • vPC
  • vApps
  • vWS
  • vApps


GPUs Based on the NVIDIA Turing Architecture

Note:

SR-IOV and the manual placement of vGPUs on GPUs in equal-size mode are not supported on GPUs based on the NVIDIA Turing™ architecture.

GPUMixed vGPU Configuration - XenServer ReleasesSupported NVIDIA vGPU Software Products1, 2, 3
Frame Buffer Size (Mixed-Size Mode)SeriesNVIDIA vGPUGPU Pass Through
Tesla T4

N/A

XenServer 8.4

  • vWS
  • vPC
  • vApps
  • vWS
  • vApps
Quadro RTX 6000 4

N/A

XenServer 8.4

  • vWS
  • vPC
  • vApps
  • vWS
  • vApps
Quadro RTX 6000 passive4

N/A

XenServer 8.4

  • vWS
  • vPC
  • vApps
  • vWS
  • vApps
Quadro RTX 80004

N/A

XenServer 8.4

  • vWS
  • vPC
  • vApps
  • vWS
  • vApps
Quadro RTX 8000 passive4

N/A

XenServer 8.4

  • vWS
  • vPC
  • vApps
  • vWS
  • vApps


GPUs Based on the NVIDIA Volta Architecture

Note:

SR-IOV and the manual placement of vGPUs on GPUs in equal-size mode are not supported on GPUs based on the NVIDIA Volta architecture.

GPUMixed vGPU Configuration - XenServer ReleasesSupported NVIDIA vGPU Software Products1, 2, 3
Frame Buffer Size (Mixed-Size Mode)SeriesNVIDIA vGPUGPU Pass Through
Tesla V100 SXM2

N/A

XenServer 8.4

  • vWS
  • vPC
  • vApps
  • vWS
  • vApps
Tesla V100 SXM2 32GB

N/A

XenServer 8.4

  • vWS
  • vPC
  • vApps
  • vWS
  • vApps
Tesla V100 PCIe

N/A

XenServer 8.4

  • vWS
  • vPC
  • vApps
  • vWS
  • vApps
Tesla V100 PCIe 32GB

N/A

XenServer 8.4

  • vWS
  • vPC
  • vApps
  • vWS
  • vApps
Tesla V100S PCIe 32GB

N/A

XenServer 8.4

  • vWS
  • vPC
  • vApps
  • vWS
  • vApps
Tesla V100 FHHL

N/A

XenServer 8.4

  • vWS
  • vPC
  • vApps
  • vWS
  • vApps


GPUs Based on the NVIDIA Maxwell Graphic Architecture

Note:

The following NVIDIA vGPU software features are not supported on GPUs based on the NVIDIA NVIDIA Maxwell™ graphic architecture:

  • SR-IOV
  • Configuration of vGPUs with different amounts of frame buffer on the same physical GPU (mixed-size mode)
  • Manual placement of vGPUs on GPUs in equal-size mode

GPUMixed vGPU Series Configuration - XenServer ReleasesSupported NVIDIA vGPU Software Products1, 2, 3
NVIDIA vGPUGPU Pass Through
Tesla M10

XenServer 8.4

  • vWS
  • vPC
  • vApps
  • vWS
  • vApps


2.1.1. Support for a Mixture of Time-Sliced vGPU Types on the Same GPU

XenServer supports a mixture of time-sliced vGPUs with the same amount of frame buffer from different virtual GPU series on the same physical GPU. A-series, B-series, and Q-series vGPUs with the same amount of frame buffer, for example, A40-2B and A40-2Q, can reside on the same physical GPU simultaneously. However, vGPUs with different amounts of frame buffer are not supported on the same GPU.

For example, the following combinations of vGPUs are not supported on the same GPU:

  • A40-2Q and A40-4Q
  • A40-2B and A40-4Q

2.1.2. Switching the Mode of a GPU that Supports Multiple Display Modes

Some GPUs support display-off and display-enabled modes but must be used in NVIDIA vGPU software deployments in display-off mode.

The GPUs listed in the following table support multiple display modes. As shown in the table, some GPUs are supplied from the factory in display-off mode, but other GPUs are supplied in a display-enabled mode.

GPUMode as Supplied from the Factory
NVIDIA A40Display-off
NVIDIA L40Display-off
NVIDIA L40SDisplay-off
NVIDIA L20Display-off
NVIDIA L20 liquid cooledDisplay-off
NVIDIA RTX 5000 AdaDisplay enabled
NVIDIA RTX 6000 AdaDisplay enabled
NVIDIA RTX A5000Display enabled
NVIDIA RTX A5500Display enabled
NVIDIA RTX A6000Display enabled

A GPU that is supplied from the factory in display-off mode, such as the NVIDIA A40 GPU, might be in a display-enabled mode if its mode has previously been changed.

To change the mode of a GPU that supports multiple display modes, use the displaymodeselector tool, which you can request from the NVIDIA Display Mode Selector Tool page on the NVIDIA Developer website.

Note:

Only the GPUs listed in the table support the displaymodeselector tool. Other GPUs that support NVIDIA vGPU software do not support the displaymodeselector tool and, unless otherwise stated, do not require display mode switching.

2.2. Hypervisor Software Releases

Reversion to the XenServer Name for Hypervisor Software

Citrix has reverted the name of its hypervisor software for releases after Citrix Hypervisor 8.2 to XenServer.

For more information, visit the XenServer website.

Note:

The name of the Citrix virtual desktop software product and the format of its release numbers remain unchanged.


Supported XenServer Releases

This release family of NVIDIA vGPU software is supported on the XenServer releases listed in the table.

Note:

Support for Citrix Hypervisor requires the Premium Edition (previously Enterprise Edition) of Citrix Hypervisor. For details, see Licensing in the Citrix documentation.

Cumulative update releases for a base release of XenServer are compatible with the base release and can also be used with this version of NVIDIA vGPU software unless expressly stated otherwise.

SoftwareReleases SupportedNotes
XenServer 8.4XenServer 8.4 and all updates to XenServer 8.4.

This release supports XenMotion with vGPU on suitable GPUs as listed in XenMotion with vGPU Support.


Supported Virtual Desktop Software Releases

This release supports only the virtual desktop software releases listed in the table. Except where otherwise stated, HDX 3D Pro mode is supported but not required.

SoftwareReleases Supported

Citrix Virtual Apps and Desktops

Versions 7 2503, 7 2411, 7 2407, 7 2402, 7 2311, 7 2308 7 2305, 7 2303, 7 2212, 7 2209, 7 2206, 7 2203, 7 2112, 7 2109, 7 2106, 7 2103, 7 2012, 7 2009, 7 2006, 7 2003, 7 1912, 7 1909, 7 1906, and 7 1903

XenApp/XenDesktop

Version 7.15

Note:

Version 7.15 is supported only in HDX 3D Pro mode. HDX 3D Pro mode is required to ensure that the NVIDIA GPU can be used unrestricted.

2.3. Guest OS Support

NVIDIA vGPU software supports several Windows releases and Linux distributions as a guest OS. The supported guest operating systems depend on the hypervisor software version.

Note:

Use only a guest OS release that is listed as supported by NVIDIA vGPU software with your virtualization software. To be listed as supported, a guest OS release must be supported not only by NVIDIA vGPU software, but also by your virtualization software. NVIDIA cannot support guest OS releases that your virtualization software does not support.

NVIDIA vGPU software supports only 64-bit guest operating systems. No 32-bit guest operating systems are supported.


2.3.1. Windows Guest OS Support

NVIDIA vGPU software supports only the 64-bit Windows releases listed as a guest OS on XenServer. The releases of XenServer for which a Windows release is supported depend on whether NVIDIA vGPU or pass-through GPU is used.

Note:

If a specific release, even an update release, is not listed, it’s not supported.

Windows Enterprise multi-session is not supported.

XenMotion with vGPU is supported on supported Windows guest OS releases.


2.3.1.1. Windows Guest OS Support in Release 19.0

  • Windows Server 2022
  • Windows 11 24H2 and all Windows 11 releases supported by Microsoft up to and including this release
  • Windows 10 2022 Update (22H2) and all Windows 10 releases supported by Microsoft up to and including this release
    Note:

    The hardware-accelerated GPU scheduling feature introduced in Windows 10 May 2020 Update (2004) is not supported on GPUs based on the Maxwell architecture and is supported only in pass-through mode on GPUs based on later architectures.

2.3.2. Linux Guest OS Support

NVIDIA vGPU software supports only the Linux distributions listed as a guest OS on XenServer. The releases of XenServer for which a Linux release is supported depend on whether NVIDIA vGPU or pass-through GPU is used.

Note:

If a specific release, even an update release, is not listed, it’s not supported.

XenMotion with vGPU is not supported on any Linux guest OS release.

Rocky Linux releases that are compatible with supported Red Hat Enterprise Linux releases are also supported as a guest OS.


2.3.2.1. Linux Guest OS Support in Release 19.0

  • Deprecated: CentOS Linux 8 (2105)
  • Red Hat Enterprise Linux 8.10
  • Ubuntu 20.04 LTS

2.4. NVIDIA CUDA Toolkit Version Support

The releases in this release family of NVIDIA vGPU software support NVIDIA CUDA Toolkit 13.0.

To build a CUDA application, the system must have the NVIDIA CUDA Toolkit and the libraries required for linking. For details of the components of NVIDIA CUDA Toolkit, refer to NVIDIA CUDA Toolkit 12.8 Release Notes.

To run a CUDA application, the system must have a CUDA-enabled GPU and an NVIDIA display driver that is compatible with the NVIDIA CUDA Toolkit release that was used to build the application. If the application relies on dynamic linking for libraries, the system must also have the correct version of these libraries.

For more information about NVIDIA CUDA Toolkit, refer to CUDA Toolkit Documentation 13.0.

Note:

If you are using NVIDIA vGPU software with CUDA on Linux, avoid conflicting installation methods by installing CUDA from a distribution-independent runfile package. Do not install CUDA from a distribution-specific RPM or Deb package.

To ensure that the NVIDIA vGPU software graphics driver is not overwritten when CUDA is installed, deselect the CUDA driver when selecting the CUDA components to install.

For more information, see NVIDIA CUDA Installation Guide for Linux.

2.5. XenMotion with vGPU Support

XenMotion with vGPU is supported on all supported GPUs, but only on a subset of supported XenServer releases and guest operating systems.

Limitations with XenMotion with vGPU Support

vGPU migration is disabled for a VM for which any of the following NVIDIA CUDA Toolkit features is enabled:

  • Unified memory
  • Debuggers
  • Profilers

Supported Hypervisor Software Releases

XenServer 8.4

Supported Guest OS Releases

Windows only. XenMotion with vGPU is not supported on Linux.

Known Issues with XenMotion with vGPU Support

Use CaseAffected GPUsIssue
Simultaneous migration of multiple VMsAll GPUs that support XenMotion with vGPUHypervisor host reboots when multiple cloned VMs are simultaneously powered on or migrated
Migration between hosts with different ECC memory configurationAll GPUs that support XenMotion with vGPUMigration of VMs configured with vGPU stops before the migration is complete

2.6. Multiple vGPU Support

To support applications and workloads that are compute or graphics intensive, multiple vGPUs can be added to a single VM. The assignment of more than one vGPU to a VM is supported only on a subset of vGPUs and hypervisor software releases.

2.6.1. vGPUs that Support Multiple vGPUs Assigned to a VM

Only Q-series vGPUs that are allocated all of the physical GPU's frame buffer are supported.

Multiple vGPU Support on the NVIDIA Ada Lovelace Architecture

BoardvGPU
NVIDIA L40SL40S-48Q
NVIDIA L40L40-48Q

NVIDIA L20

NVIDIA L20 liquid cooled

L20-48Q
NVIDIA L4L4-24Q
NVIDIA L2L2-24Q
NVIDIA RTX 6000 AdaRTX 6000 Ada-48Q
NVIDIA RTX 5880 AdaRTX 5880 Ada-48Q
NVIDIA RTX 5000 AdaRTX 5000 Ada-32Q


Multiple vGPU Support on the NVIDIA Ampere GPU Architecture

BoardvGPU
NVIDIA A40A40-48Q See Note (1).
NVIDIA A16A16-16Q See Note (1).
NVIDIA A10A10-24Q See Note (1).
NVIDIA A2A2-16Q See Note (1).
NVIDIA RTX A6000A6000-48Q See Note (1).
NVIDIA RTX A5500A5500-24Q See Note (1).
NVIDIA RTX A5000A5000-24Q See Note (1).


Multiple vGPU Support on the NVIDIA Turing GPU Architecture

BoardvGPU
Tesla T4T4-16Q
Quadro RTX 6000RTX6000-24Q
Quadro RTX 6000 passiveRTX6000P-24Q
Quadro RTX 8000RTX8000-48Q
Quadro RTX 8000 passiveRTX8000P-48Q


Multiple vGPU Support on the NVIDIA Volta GPU Architecture

BoardvGPU
Tesla V100 SXM2 32GBV100DX-32Q
Tesla V100 PCIe 32GBV100D-32Q
Tesla V100S PCIe 32GBV100S-32Q
Tesla V100 SXM2V100X-16Q
Tesla V100 PCIeV100-16Q
Tesla V100 FHHLV100L-16Q


Multiple vGPU Support on the NVIDIA Maxwell GPU Architecture

BoardvGPU
Tesla M10M10-8Q


Note:
  1. This type of vGPU cannot be assigned with other types of vGPU to the same VM.

2.6.2. Maximum Number of vGPUs Supported per VM

NVIDIA vGPU software supports up to a maximum of 16 vGPUs per VM.

2.6.3. Hypervisor Releases that Support Multiple vGPUs Assigned to a VM

All hypervisor releases that support NVIDIA vGPU software are supported.

2.7. Peer-to-Peer CUDA Transfers over NVLink Support

Peer-to-peer CUDA transfers enable device memory between vGPUs on different GPUs that are assigned to the same VM to be accessed from within the CUDA kernels. NVLink is a high-bandwidth interconnect that enables fast communication between such vGPUs. Peer-to-Peer CUDA transfers over NVLink are supported only on a subset of vGPUs, XenServer releases, and guest OS releases.

2.7.1. vGPUs that Support Peer-to-Peer CUDA Transfers

Only Q-series time-sliced vGPUs that are allocated all of the physical GPU's frame buffer on physical GPUs that support NVLink are supported.

Peer-to-Peer CUDA Transfer Support on the NVIDIA Ampere GPU Architecture

BoardvGPU
NVIDIA A40A40-48Q
NVIDIA A10A10-24Q
NVIDIA RTX A6000A6000-48Q
NVIDIA RTX A5500A5500-24Q
NVIDIA RTX A5000A5000-24Q


Peer-to-Peer CUDA Transfer Support on the NVIDIA Turing GPU Architecture

BoardvGPU
Quadro RTX 6000RTX6000-24Q
Quadro RTX 6000 passiveRTX6000P-24Q
Quadro RTX 8000RTX8000-48Q
Quadro RTX 8000 passiveRTX8000P-48Q


Peer-to-Peer CUDA Transfer Support on the NVIDIA Volta GPU Architecture

BoardvGPU
Tesla V100 SXM2 32GBV100DX-32Q
Tesla V100 SXM2V100X-16Q

2.7.2. Hypervisor Releases that Support Peer-to-Peer CUDA Transfers

Peer-to-Peer CUDA transfers over NVLink are supported on all hypervisor releases that support the assignment of more than one vGPU to a VM. For details, see Multiple vGPU Support.

2.7.3. Guest OS Releases that Support Peer-to-Peer CUDA Transfers

Linux only. Peer-to-Peer CUDA transfers over NVLink are not supported on Windows.

2.7.4. Limitations on Support for Peer-to-Peer CUDA Transfers

  • NVSwitch is not supported. Only direct connections are supported.
  • PCIe is not supported.
  • SLI is not supported.

2.8. Unified Memory Support

Unified memory is a single memory address space that is accessible from any CPU or GPU in a system. It creates a pool of managed memory that is shared between the CPU and GPU to provide a simple way to allocate and access data that can be used by code running on any CPU or GPU in the system. Unified memory is supported only on a subset of vGPUs and guest OS releases.

Note:

Unified memory is disabled by default. If used, you must enable unified memory individually for each vGPU that requires it by setting a vGPU plugin parameter. NVIDIA CUDA Toolkit profilers are supported and can be enabled on a VM for which unified memory is enabled.


2.8.1. vGPUs that Support Unified Memory

On single-instance GPUs, only Q-series vGPUs that are allocated all of the physical GPU's frame buffer on physical GPUs that support unified memory are supported.

Unified Memory Support on the NVIDIA Ada Lovelace GPU Architecture

BoardvGPU
NVIDIA L40L40-48Q
NVIDIA L40SL40S-48Q

NVIDIA L20

NVIDIA L20 liquid cooled

L20-48Q
NVIDIA L4L4-24Q
NVIDIA L2L2-24Q
NVIDIA RTX 6000 AdaRTX 6000 Ada-48Q
NVIDIA RTX 5880 AdaRTX 5880 Ada-48Q
NVIDIA RTX 5000 AdaRTX 5000 Ada-32Q


Unified Memory Support on the NVIDIA Ampere GPU Architecture

BoardvGPU
NVIDIA A40A40-48Q
NVIDIA A16A16-16Q
NVIDIA A10A10-24Q
NVIDIA A2A2-16Q
NVIDIA RTX A6000A6000-48Q
NVIDIA RTX A5500A5500-24Q
NVIDIA RTX A5000A5000-24Q

2.8.2. Guest OS Releases that Support Unified Memory

Linux only. Unified memory is not supported on Windows.

2.8.3. Limitations on Support for Unified Memory

  • Only Q-series vGPUs that are allocated all of the physical GPU's frame buffer on physical GPUs that support unified memory are supported. Fractional time-sliced vGPUs are not supported.
  • When unified memory is enabled for a VM, XenMotion with vGPU is disabled for the VM.

2.9. NVIDIA Deep Learning Super Sampling (DLSS) Support

NVIDIA vGPU software supports NVIDIA DLSS on NVIDIA RTX Virtual Workstation.

Supported DLSS versions: 2.0. Version 1.0 is not supported.

Supported GPUs:

  • NVIDIA L40
  • NVIDIA L40S
  • NVIDIA L20
  • NVIDIA L20 liquid cooled
  • NVIDIA L4
  • NVIDIA L2
  • NVIDIA RTX 6000 Ada
  • NVIDIA RTX 5880 Ada
  • NVIDIA RTX 5000 Ada
  • NVIDIA A40
  • NVIDIA A16
  • NVIDIA A2
  • NVIDIA A10
  • NVIDIA RTX A6000
  • NVIDIA RTX A5500
  • NVIDIA RTX A5000
  • Tesla T4
  • Quadro RTX 8000
  • Quadro RTX 8000 passive
  • Quadro RTX 6000
  • Quadro RTX 6000 passive
Note:

NVIDIA graphics driver components that DLSS requires are installed only if a supported GPU is detected during installation of the driver. Therefore, if the creation of VM templates includes driver installation, the template should be created from a VM that is configured with a supported GPU while the driver is being installed.

Supported applications: only applications that use nvngx_dlss.dll version 2.0.18 or newer

Known product limitations for this release of NVIDIA vGPU software are described in the following sections.

3.1. vGPUs of different sizes on the same GPU are not supported

XenServer supports a mixture of time-sliced vGPUs with the same amount of frame buffer from different virtual GPU series on the same physical GPU. A-series, B-series, and Q-series vGPUs with the same amount of frame buffer, for example, A40-2B and A40-2Q, can reside on the same physical GPU simultaneously. However, vGPUs with different amounts of frame buffer are not supported on the same GPU.

3.2. NVENC does not support resolutions greater than 4096×4096

Description

The NVIDIA hardware-based H.264 video encoder (NVENC) does not support resolutions greater than 4096×4096. This restriction applies to all NVIDIA GPU architectures and is imposed by the GPU encoder hardware itself, not by NVIDIA vGPU software. The maximum supported resolution for each encoding scheme is listed in the documentation for NVIDIA Video Codec SDK. This limitation affects any remoting tool where H.264 encoding is used with a resolution greater than 4096×4096. Most supported remoting tools fall back to software encoding in such scenarios.

Workaround

If your GPU is based on a GPU architecture later than the NVIDIA Maxwell® architecture, use H.265 encoding. H.265 is more efficient than H.264 encoding and has a maximum resolution of 8192×8192. On GPUs based on the NVIDIA Maxwell architecture, H.265 has the same maximum resolution as H.264, namely 4096×4096.

Note:

Resolutions greater than 4096×4096 are supported only by the H.265 decoder that 64-bit client applications use. The H.265 decoder that 32-bit applications use supports a maximum resolution of 4096×4096.

Because the client-side Workspace App on Windows is a 32-bit application, resolutions greater than 4096×4096 are not supported for Windows clients of Citrix Virtual Apps and Desktops. Therefore, if you are using a Windows client with Citrix Virtual Apps and Desktops, ensure that you are using H.264 hardware encoding with the default Use video codec for compression Citrix graphics policy setting, namely Actively Changing Regions. This policy setting encodes only actively changing regions of the screen (for example, a window in which a video is playing). Provided that the number of pixels along any edge of the actively changing region does not exceed 4096, H.264 encoding is offloaded to the NVENC hardware encoder.

3.3. Nested Virtualization Is Not Supported by NVIDIA vGPU

In general, NVIDIA vGPU deployments do not support nested virtualization, that is, running a hypervisor in a guest VM. For example, enabling the Hyper-V role in a guest VM running the Windows Server OS is not supported because it entails enabling nested virtualization. Similarly, enabling Windows Hypervisor Platform is not supported because it requires the Hyper-V role to be enabled.

3.4. Issues occur when the channels allocated to a vGPU are exhausted

Description

Issues occur when the channels allocated to a vGPU are exhausted and the guest VM to which the vGPU is assigned fails to allocate a channel to the vGPU. A physical GPU has a fixed number of channels and the number of channels allocated to each vGPU is inversely proportional to the maximum number of vGPUs allowed on the physical GPU.

When the channels allocated to a vGPU are exhausted and the guest VM fails to allocate a channel, the following errors are reported on the hypervisor host or in an NVIDIA bug report:

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Jun 26 08:01:25 srvxen06f vgpu-3[14276]: error: vmiop_log: (0x0): Guest attempted to allocate channel above its max channel limit 0xfb Jun 26 08:01:25 srvxen06f vgpu-3[14276]: error: vmiop_log: (0x0): VGPU message 6 failed, result code: 0x1a Jun 26 08:01:25 srvxen06f vgpu-3[14276]: error: vmiop_log: (0x0): 0xc1d004a1, 0xff0e0000, 0xff0400fb, 0xc36f, Jun 26 08:01:25 srvxen06f vgpu-3[14276]: error: vmiop_log: (0x0): 0x1, 0xff1fe314, 0xff1fe038, 0x100b6f000, 0x1000, Jun 26 08:01:25 srvxen06f vgpu-3[14276]: error: vmiop_log: (0x0): 0x80000000, 0xff0e0200, 0x0, 0x0, (Not logged), Jun 26 08:01:25 srvxen06f vgpu-3[14276]: error: vmiop_log: (0x0): 0x1, 0x0 Jun 26 08:01:25 srvxen06f vgpu-3[14276]: error: vmiop_log: (0x0): , 0x0


Workaround

Use a vGPU type with more frame buffer, thereby reducing the maximum number of vGPUs allowed on the physical GPU. As a result, the number of channels allocated to each vGPU is increased.

3.5. Total frame buffer for vGPUs is less than the total frame buffer on the physical GPU

Some of the physical GPU's frame buffer is used by the hypervisor on behalf of the VM for allocations that the guest OS would otherwise have made in its own frame buffer. The frame buffer used by the hypervisor is not available for vGPUs on the physical GPU. In NVIDIA vGPU deployments, frame buffer for the guest OS is reserved in advance, whereas in bare-metal deployments, frame buffer for the guest OS is reserved on the basis of the runtime needs of applications.

If error-correcting code (ECC) memory is enabled on a physical GPU that does not have HBM2 memory, the amount of frame buffer that is usable by vGPUs is further reduced. All types of vGPU are affected, not just vGPUs that support ECC memory.

On all GPUs that support ECC memory and, therefore, dynamic page retirement, additional frame buffer is allocated for dynamic page retirement. The amount that is allocated is inversely proportional to the maximum number of vGPUs per physical GPU. All GPUs that support ECC memory are affected, even GPUs that have HBM2 memory or for which ECC memory is disabled.

The approximate amount of frame buffer that NVIDIA vGPU software reserves can be calculated from the following formula:

max-reserved-fb = vgpu-profile-size-in-mb÷16 + 16 + ecc-adjustments + page-retirement-allocation + compression-adjustment

max-reserved-fb
The maximum total amount of reserved frame buffer in Mbytes that is not available for vGPUs.
vgpu-profile-size-in-mb
The amount of frame buffer in Mbytes allocated to a single vGPU. This amount depends on the vGPU type. For example, for the T4-16Q vGPU type, vgpu-profile-size-in-mb is 16384.
ecc-adjustments
The amount of frame buffer in Mbytes that is not usable by vGPUs when ECC is enabled on a physical GPU that does not have HBM2 memory.
  • If ECC is enabled on a physical GPU that does not have HBM2 memory ecc-adjustments is fb-without-ecc/16, which is equivalent to 64 Mbytes for every Gbyte of frame buffer assigned to the vGPU. fb-without-ecc is total amount of frame buffer with ECC disabled.
  • If ECC is disabled or the GPU has HBM2 memory, ecc-adjustments is 0.
page-retirement-allocation
The amount of frame buffer in Mbytes that is reserved for dynamic page retirement.
  • On GPUs based on the NVIDIA Maxwell GPU architecture, page-retirement-allocation = 4÷max-vgpus-per-gpu.
  • On GPUs based on NVIDIA GPU architectures after the Maxwell architecture, page-retirement-allocation = 128÷max-vgpus-per-gpu
max-vgpus-per-gpu
The maximum number of vGPUs that can be created simultaneously on a physical GPU. This number varies according to the vGPU type. For example, for the T4-16Q vGPU type, max-vgpus-per-gpu is 1.
compression-adjustment

The amount of frame buffer in Mbytes that is reserved for the higher compression overhead in vGPU types with 12 Gbytes or more of frame buffer on GPUs based on the Turing architecture.

compression-adjustment depends on the vGPU type as shown in the following table.

vGPU TypeCompression Adjustment (MB)

T4-16Q

T4-16C

T4-16A

28

RTX6000-12Q

RTX6000-12C

RTX6000-12A

32

RTX6000-24Q

RTX6000-24C

RTX6000-24A

104

RTX6000P-12Q

RTX6000P-12C

RTX6000P-12A

32

RTX6000P-24Q

RTX6000P-24C

RTX6000P-24A

104

RTX8000-12Q

RTX8000-12C

RTX8000-12A

32

RTX8000-16Q

RTX8000-16C

RTX8000-16A

64

RTX8000-24Q

RTX8000-24C

RTX8000-24A

96

RTX8000-48Q

RTX8000-48C

RTX8000-48A

238

RTX8000P-12Q

RTX8000P-12C

RTX8000P-12A

32

RTX8000P-16Q

RTX8000P-16C

RTX8000P-16A

64

RTX8000P-24Q

RTX8000P-24C

RTX8000P-24A

96

RTX8000P-48Q

RTX8000P-48C

RTX8000P-48A

238

For all other vGPU types, compression-adjustment is 0.

Note:

In VMs running Windows Server 2012 R2, which supports Windows Display Driver Model (WDDM) 1.x, an additional 48 Mbytes of frame buffer are reserved and not available for vGPUs.

3.6. Issues may occur with graphics-intensive OpenCL applications on vGPU types with limited frame buffer

Description

Issues may occur when graphics-intensive OpenCL applications are used with vGPU types that have limited frame buffer. These issues occur when the applications demand more frame buffer than is allocated to the vGPU.

For example, these issues may occur with the Adobe Photoshop and LuxMark OpenCL Benchmark applications:

  • When the image resolution and size are changed in Adobe Photoshop, a program error may occur or Photoshop may display a message about a problem with the graphics hardware and a suggestion to disable OpenCL.
  • When the LuxMark OpenCL Benchmark application is run, XID error 31 may occur.

Workaround

For graphics-intensive OpenCL applications, use a vGPU type with more frame buffer.

Description

In pass through mode, all GPUs connected to each other through NVLink must be assigned to the same VM. If a subset of GPUs connected to each other through NVLink is passed through to a VM, unrecoverable error XID 74 occurs when the VM is booted. This error corrupts the NVLink state on the physical GPUs and, as a result, the NVLink bridge between the GPUs is unusable.

Workaround

Restore the NVLink state on the physical GPUs by resetting the GPUs or rebooting the hypervisor host.

3.8. vGPU profiles with 512 Mbytes or less of frame buffer support only 1 virtual display head on Windows 10

Description

To reduce the possibility of memory exhaustion, vGPU profiles with 512 Mbytes or less of frame buffer support only 1 virtual display head on a Windows 10 guest OS.

The following vGPU profiles have 512 Mbytes or less of frame buffer:

  • Tesla M10-0B
  • Tesla M10-0Q

Workaround

Use a profile that supports more than 1 virtual display head and has at least 1 Gbyte of frame buffer.

3.9. NVENC requires at least 1 Gbyte of frame buffer

Description

Using the frame buffer for the NVIDIA hardware-based H.264/HEVC video encoder (NVENC) may cause memory exhaustion with vGPU profiles that have 512 Mbytes or less of frame buffer. To reduce the possibility of memory exhaustion, NVENC is disabled on profiles that have 512 Mbytes or less of frame buffer. Application GPU acceleration remains fully supported and available for all profiles, including profiles with 512 MBytes or less of frame buffer. NVENC support from both Citrix and VMware is a recent feature and, if you are using an older version, you should experience no change in functionality.

The following vGPU profiles have 512 Mbytes or less of frame buffer:

  • Tesla M10-0B
  • Tesla M10-0Q

Workaround

If you require NVENC to be enabled, use a profile that has at least 1 Gbyte of frame buffer.

3.10. VM running an incompatible NVIDIA vGPU guest driver fails to initialize vGPU when booted

Description

A VM running a version of the NVIDIA guest VM driver that is incompatible with the current release of Virtual GPU Manager will fail to initialize vGPU when booted on a XenServer platform running that release of Virtual GPU Manager.

A guest VM driver is incompatible with the current release of Virtual GPU Manager in either of the following situations:

  • The guest driver is from a release in a branch two or more major releases before the current release, for example release 9.4.

    In this situation, the XenServer VM’s /var/log/messages log file reports the following error:

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    vmiop_log: (0x0): Incompatible Guest/Host drivers: Guest VGX version is older than the minimum version supported by the Host. Disabling vGPU.

  • The guest driver is from a later release than the Virtual GPU Manager.

    In this situation, the XenServer VM’s /var/log/messages log file reports the following error:

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    vmiop_log: (0x0): Incompatible Guest/Host drivers: Guest VGX version is newer than the maximum version supported by the Host. Disabling vGPU.

In either situation, the VM boots in standard VGA mode with reduced resolution and color depth. The NVIDIA virtual GPU is present in Windows Device Manager but displays a warning sign, and the following device status:

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Windows has stopped this device because it has reported problems. (Code 43)


Resolution

Install a release of the NVIDIA guest VM driver that is compatible with current release of Virtual GPU Manager.

3.11. Single vGPU benchmark scores are lower than pass-through GPU

Description

A single vGPU configured on a physical GPU produces lower benchmark scores than the physical GPU run in pass-through mode.

Aside from performance differences that may be attributed to a vGPU’s smaller frame buffer size, vGPU incorporates a performance balancing feature known as Frame Rate Limiter (FRL). On vGPUs that use the best-effort scheduler, FRL is enabled. On vGPUs that use the fixed share or equal share scheduler, FRL is disabled.

FRL is used to ensure balanced performance across multiple vGPUs that are resident on the same physical GPU. The FRL setting is designed to give good interactive remote graphics experience but may reduce scores in benchmarks that depend on measuring frame rendering rates, as compared to the same benchmarks running on a pass-through GPU.

Resolution

FRL is controlled by an internal vGPU setting. On vGPUs that use the best-effort scheduler, NVIDIA does not validate vGPU with FRL disabled, but for validation of benchmark performance, FRL can be temporarily disabled by specifying frame_rate_limiter=0 in the extra_args parameter for the group to which the vGPU belongs:

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[root@xenserver ~]# xe vgpu-param-set uuid=vgpu-uuid extra_args=frame_rate_limiter=0

The setting takes effect the next time the VM is started or rebooted.

With this setting in place, the VM’s vGPU will run without any frame rate limit. The FRL can be reverted back to its default setting in one of the following ways:

  • Removing the extra_args key the from group to which the vGPU belongs
  • Removing frame_rate_limiter=0 from the extra_args or vgpu_extra_args key
  • Setting frame_rate_limiter=1. For example:
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    [root@xenserver ~]# xe vgpu-param-set uuid=vgpu-uuid extra_args=frame_rate_limiter=1

3.12. nvidia-smi fails to operate when all GPUs are assigned to GPU pass-through mode

Description

If all GPUs in the platform are assigned to VMs in pass-through mode, nvidia-smi will return an error:

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[root@xenserver-vgx-test ~]# nvidia-smi Failed to initialize NVML: Unknown Error

This is because GPUs operating in pass-through mode are not visible to nvidia-smi and the NVIDIA kernel driver operating in the XenServerdom0.

To confirm that all GPUs are operating in pass-through mode, use XenCenter’s GPU tab to review current GPU assignment:

citrix-xencenter-gpu-tab.png


Resolution

N/A

3.13. Windows Aero is disabled on Citrix Virtual Apps and Desktops session using 3 or 4 monitors in 2560×1600 resolution

Description

Windows Aero may be disabled when Citrix Virtual Apps and Desktops is connected to a VM with a vGPU or passthrough GPU, with 3 or 4 monitors at 2560×1600 resolution.

This limitation is a limitation of Windows 7. For details, see the Microsoft knowledge base article Desktop background disappears with very large extended desktop on Windows 7.

3.14. VMs configured with large memory fail to initialize vGPU when booted

Description

When starting multiple VMs configured with large amounts of RAM (typically more than 32GB per VM), a VM may fail to initialize vGPU. In this scenario, the VM boots in standard VGA mode with reduced resolution and color depth. The NVIDIA vGPU software GPU is present in Windows Device Manager but displays a warning sign, and the following device status:

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Windows has stopped this device because it has reported problems. (Code 43)

When this error occurs, VGPU message failed messages and XID error messages are written to the XenServer VM’s /var/log/messages log file.

Resolution

vGPU reserves a portion of the VM’s framebuffer for use in GPU mapping of VM system memory. The reservation is sufficient to support up to 32GB of system memory, and may be increased to accommodate up to 64GB by specifying enable_large_sys_mem=1 in the vGPU's plugin parameters:

  • Citrix Hypervisor 8.1 or later: Specify enable_large_sys_mem=1 in the extra_args parameter for the group to which the vGPU belongs:
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    [root@xenserver ~]# xe vgpu-param-set uuid=vgpu-uuid extra_args=enable_large_sys_mem=1

  • Citrix Hypervisor earlier than 8.1: Specify enable_large_sys_mem=1 in the VM’s platform:vgpu_extra_args parameter:
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    [root@xenserver ~]# xe vm-param-set uuid=vm-uuid platform:vgpu_extra_args="enable_large_sys_mem=1"

The setting takes effect the next time the VM is started or rebooted. With this setting in place, less GPU FB is available to applications running in the VM. To accommodate system memory larger than 64GB, the reservation can be further increased by specifying extra_fb_reservation in the VM’s platform:vgpu_extra_args parameter, and setting its value to the desired reservation size in megabytes. The default value of 64M is sufficient to support 64GB of RAM. We recommend adding 2M of reservation for each additional 1GB of system memory. For example, to support 96GB of RAM, set extra_fb_reservation to 128:

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extra_args="enable_large_sys_mem=1,extra_fb_reservation=128"

The reservation can be reverted back to its default setting in one of the following ways:

  • Removing the extra_args key the from group to which the vGPU belongs
  • Removing enable_large_sys_mem from the extra_args or vgpu_extra_args key
  • Setting enable_large_sys_mem=0

3.15. vGPU host driver RPM upgrade fails

Description

Upgrading vGPU host driver RPM fails with an error message about failed dependencies on the console.

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[root@xenserver ~]# rpm –U NVIDIA-vGPU-xenserver-6.5-352.46.x86_64.rpm error: Failed dependencies:        NVIDIA-vgx-xenserver conflicts with NVIDIA-vGPU-xenserver-6.5-352.46.x86_64 [root@xenserver ~]#


Resolution

Uninstall the older vGPU RPM before installing the latest driver.

Use the following command to uninstall the older vGPU RPM:

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[root@xenserver ~]# rpm –e NVIDIA-vgx-xenserver

Only resolved issues that have been previously noted as known issues or had a noticeable user impact are listed. The summary and description for each resolved issue indicate the effect of the issue on NVIDIA vGPU software before the issue was resolved.

4.1. Issues Resolved in Release 19.0

No resolved issues are reported in this release for XenServer.

  1. Linux graphics driver installation from a .run file fails
  2. GPU device is unavailable on Windows 11 VMs with more than 1 TB of memory
  3. Default client configuration token folder missing on Windows client VMs
  4. NVIDIA Control Panel is not available in multiuser environments
  5. NVIDIA Control Panel crashes if a user session is disconnected and reconnected
  6. CUDA profilers cannot gather hardware metrics on NVIDIA vGPU
  7. NVIDIA vGPU software graphics driver for Windows sends a remote call to ngx.download.nvidia.com
  8. Multiple RDP session reconnections on Windows Server 2022 can consume all frame buffer
  9. NLS client fails to acquire a license with the error The allowed time to process response has expired
  10. With multiple active sessions, NVIDIA Control Panel incorrectly shows that the system is unlicensed
  11. VP9 and AV1 decoding with web browsers are not supported on Microsoft Windows Server 2019
  12. Ubuntu guest driver initialization fails with vGPUs and GPUs that support SR-IOV
  13. nvidia-smi ignores the second NVIDIA vGPU device added to a Microsoft Windows Server 2016 VM
  14. After an upgrade of the Linux graphics driver from an RPM package in a licensed VM, licensing fails
  15. After an upgrade of the Linux graphics driver from a Debian package, the driver is not loaded into the VM
  16. Desktop session freezes when a VM is migrated to or from a host running an NVIDIA vGPU software 14 release
  17. The reported NVENC frame rate is double the actual frame rate
  18. Hypervisor host reboots when multiple cloned VMs are simultaneously powered on or migrated
  19. NVENC does not work with Teradici Cloud Access Software on Windows
  20. A licensed client might fail to acquire a license if a proxy is set
  21. Session connection fails with four 4K displays and NVENC enabled on a 2Q, 3Q, or 4Q vGPU
  22. Disconnected sessions cannot be reconnected or might be reconnected very slowly with NVWMI installed
  23. Linux VM hangs after vGPU migration to a host running a newer vGPU manager version
  24. Idle Teradici Cloud Access Software session disconnects from Linux VM
  25. No virtual GPU types are listed in Citrix XenCenter
  26. NVIDIA vGPU software graphics driver fails to load after upgrade on XenServer
  27. Windows guest VMs with vGPUs or GPUs with large BAR memory settings fail to boot to the desktop in UEFI mode
  28. Migrated VM with more than two vGPUs crashes on destination host
  29. Driver upgrade in a Linux guest VM with multiple vGPUs might fail
  30. NVIDIA Control Panel fails to start if launched too soon from a VM without licensing information
  31. VNC client session goes blank and console VNC is corrupted when the guest driver is uninstalled
  32. Citrix Virtual Apps and Desktops session corruption occurs in the form of residual window borders
  33. Suspend and resume between hosts running different versions of the vGPU manager fails
  34. On Linux, the frame rate might drop to 1 after several minutes
  35. Citrix XenCenter displays misleading information about vGPU types
  36. Citrix Virtual Apps and Desktops connection freezes initially
  37. DWM crashes randomly occur in Windows VMs
  38. NVIDIA Control Panel fails to launch in a platform layer or published image
  39. Remote desktop session freezes with assertion failure and XID error 43 after migration
  40. Citrix Virtual Apps and Desktops session freezes when the desktop is unlocked
  41. NVIDIA vGPU software graphics driver fails after Linux kernel upgrade with DKMS enabled
  42. On XenServer, all vGPUs in a VM must be of the same type
  43. Console VGA cannot be disabled
  44. Console VNC is unusable with Xorg on multiple vGPUs in a VM
  45. Migration of VMs configured with vGPU stops before the migration is complete
  46. ECC memory settings for a vGPU cannot be changed by using NVIDIA X Server Settings
  47. Changes to ECC memory settings for a Linux vGPU VM by nvidia-smi might be ignored
  48. Incorrect GPU type shown for Quadro RTX 8000 GPUs in Citrix XenCenter
  49. NVIDIA Notification Icon prevents log off of Citrix Published Application user sessions
  50. Host core CPU utilization is higher than expected for moderate workloads
  51. Frame capture while the interactive logon message is displayed returns blank screen
  52. RDS sessions do not use the GPU with Microsoft Windows Server as guest OS
  53. When the scheduling policy is fixed share, GPU utilization is reported as higher than expected
  54. nvidia-smi reports that vGPU migration is supported on all hypervisors
  55. NVIDIA Control Panel Crashes in a VM connected to two 4K displays
  56. vGPU guest VM driver not properly loaded on servers with more than 512 GB or 1 TB or more of system memory
  57. Luxmark causes a segmentation fault on an unlicensed Linux client
  58. A segmentation fault in DBus code causes nvidia-gridd to exit on Red Hat Enterprise Linux and CentOS
  59. No Manage License option available in NVIDIA X Server Settings by default
  60. Licenses remain checked out when VMs are forcibly powered off
  61. Memory exhaustion can occur with vGPU profiles that have 512 Mbytes or less of frame buffer
  62. VM bug checks after the guest VM driver for Windows 10 RS2 is installed
  63. On XenServer 7.0, VMs unexpectedly reboot and XenServer crashes or freezes
  64. With no NVIDIA driver installed, XenServer misidentifies Tesla M10 cards
  65. GNOME Display Manager (GDM) fails to start on Red Hat Enterprise Linux 7.2 and CentOS 7.0
  66. Video goes blank when run in loop in Windows Media Player
  67. Local VGA console is momentarily unblanked when Citrix Virtual Apps and Desktops changes resolution of the VM desktop
  68. VM bugchecks on shutdown/restart when Citrix Virtual Apps and Desktops is installed and NVIDIA driver is uninstalled or upgraded.
  69. Application frame rate may drop when running Citrix Virtual Apps and Desktops at 2560×1600 resolution.
  70. Windows VM BSOD
  71. Windows VM BSOD when upgrading NVIDIA drivers over a Citrix Virtual Apps and Desktops session
  72. XenCenter does not allow vGPUs to be selected as a GPU type for Linux VMs
  73. If X server is killed on a RHEL7 VM running vGPU, XenCenter console may not automatically switch to text console
  74. Citrix Virtual Apps and Desktops shows only a black screen when connected to a vGPU VM

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HDMI

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1 The supported products are as follows:
  • vWS: NVIDIA RTX Virtual Workstation
  • vPC: NVIDIA Virtual PC
  • vApps: NVIDIA Virtual Applications

2 N/A indicates that the deployment is not supported.

3vApps is supported only on Windows operating systems.

4 This GPU is supported only in displayless mode. In displayless mode, local physical display connectors are disabled.

© 2013-2025 NVIDIA Corporation & affiliates. All rights reserved. Last updated on Aug 6, 2025.