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NVIDIA vGPU 14
It's time to plan updating your NVIDIA Enterprise GPUs. NVIDIA vGPU Software 14 is now GA since February 2022.
NVIDIA vGPU software includes vWS, vCS, vPC, and vApps.
If you got any of following NVIDIA GPU's: A100, A40, A30, A16, A10, A2, RTX A6000, RTX A5000, RTX8000, RTX6000, V100, T4, P100, P40, P6, P4, M60, M10, M6 If you are interested in a quick overview of which NVIDIA enterprise GPU is supporting which hypervisor, Guest os and remoting technology, I highly recommend you check out this link from NVIDIA that provides the NVIDIA vGPU software product support matrix. NVIDIA vGPU software 14 is supported until February 2023. NVIDIA vGPU software 14 is a Product Branch Support. I this article, I am also covering which Public Cloud instance is available with NVIDIA GPUs and which license is BYO or provided by the public cloud provider such as Azure, AWS, GCP, Alibaba. For a list of validated server platforms, refer to NVIDIA vGPU Certified Servers. Important note for EUC (Citrix/VMware customers):- NVIDIA vGPU 14.0 is supported with VMware Horizon 2111 (8.4), 2106 (8.3), 2013 (8.2), 2012 (8.1), 2006 (8.0), 7.13, 7.12, 7.11, 7.10, 7.9, 7.8, 7.7, 7.6, 7.5, 7.4, 7.3, 7.2, 7.1, 7.0
- NVIDIA vGPU 14.0 is only supported with Citrix Virtual Apps & Desktops (LTSR) 7 1912, 7.15 (CR) 7 2112, 7 2109, 7 2106, 7 2103, 7 2012, 7 2009, 7 2003, 7 1909, 7 1906, 7 1903
- NVIDIA vGPU Manager version 510.47.03 for following hypervisors. (Citrix Hypervisor, VMware vSphere, RHEL KVM)
- NVIDIA Windows driver version 511.65
- NVIDIA Linux driver version 510.47.03
New Features in Release 14.0
- Support for GPUDirect® technology on all C-series vGPUs on GPUs that support SR-IOV
- Support for a mixture of time-sliced vGPUs of the same frame buffer size on the same GPU
- Support for Tesla Compute Cluster (TCC) mode for Q-series vGPUs on Windows guest VMs
- Support for GPU System Processor (GSP) in GPU pass through and bare-metal configurations on Linux with vCS
Note: If you are using a product other than vCS, you must disable GSP as explained in Virtual GPU Software User Guide.
- Enhanced NVIDIA CUDA Toolkit support:
- NVIDIA CUDA Toolkit profilers can be enabled when unified memory is enabled.
- Nsight Systems GPU context switch trace is supported.
- Enhancements to the NVIDIA Management Library (NVML) to determine whether a vGPU type supports GPUDirect technology and peer-to-peer CUDA transfers over NVLink
- Addition of RPM and Debian packages for the NVIDIA vGPU software graphics drivers for Linux
- Security updates - see Security Bulletin: NVIDIA GPU Display Driver - February 2022, which is posted shortly after the release date of this software and is listed on the NVIDIA Product Security pages
- Miscellaneous bug fixes
Hardware and Software Support Introduced in Release 14.0
- Support for the following GPUs:
- NVIDIA A2
- NVIDIA A30X
- NVIDIA A100X
- Support for Red Hat Enterprise Linux with KVM hypervisor 8.5
- Support for Red Hat Enterprise Linux 8.5 as a guest OS
- Support for Debian 10 as a guest OS
- Support for Citrix Virtual Apps and Desktops version 7 2112
- Support for VMware Horizon 2111 (8.4)
Feature Support Withdrawn in Release 14.0
- Red Hat Enterprise Linux with KVM hypervisor 8.1, 7.8, and 7.7 are no longer supported.
- Red Hat Enterprise Linux 8.1 is no longer supported as a guest OS.
- Red Hat Enterprise Linux 7.8 and 7.7 are no longer supported as a guest OS.
- Windows Server 2012 R2 is no longer supported as a guest OS.
Features Deprecated in Release 14.0
The following table lists features that are deprecated in this release of NVIDIA vGPU software. Although the features remain available in this release, they might be withdrawn in a future release. In preparation for the possible removal of these features, use the preferred alternative listed in the table.
| Deprecated Feature | Preferred Alternative | Additional Information |
|---|---|---|
| Legacy NVIDIA vGPU software license server | NVIDIA License System | NVIDIA Virtual GPU Software License Server End of Life Notice |
Findings Video conference with Azure Virtual Desktop using Teams
Introduction
Over the last couple of years, there has been an impressive flux with many businesses and institutions adopting and relying on large-scale remote working and remote learning environments to maintain workforce and learning continuity. During this time, it’s generally been recognised that this type of remote working/learning has been quite successful, with many businesses and institutions continuing remoting working/learning practices or introducing hybrid models with a combination of remote and office work for their staff.
One of the reasons why remote working/learning has been successful is the availability of supporting technologies that have delivered a high standard of human communication and engagement across large numbers of workers or students/faculty in remote environments. Video conferencing applications, which includes video conferencing, screen sharing, IMs and more, are such technologies that have contributed to viable remote working/learning environment success.
But to use these applications to their fullest potential, a robust IT infrastructure is also a must. Many large enterprise companies, as well as SMB and other institutions have centralised their IT environment into virtualized desktop infrastructure (VDI), either as an on-premises solution or as a managed-service by cloud service providers (CSP). Centralizing resources, applications and data into a single infrastructure allows for better IT management and security of vital resources and data which can help improve workforce productivity, data security and IT efficiencies.
Investigation overview
This blog details a recent technical investigation where popular video conferencing applications are deployed on AMD-based Azure instances to determine the performance of each application, the number of deployable users in a multi-session environment, and the user experience each person would receive. The AMD-based instances includes both CPU-only based instances and CPU+GPU based instances to understand the impact of GPU-enabled resources to the density and experience of the users.
So next let’s look at the various parameters for the investigation.
The Lab:
For the investigation, we had three areas of consideration:
 |  |  |
| 1) Azure session host | 2) Application | 3) End-point devices |
Findings Video conference with Azure Virtual Desktop using Meet
Introduction
Over the last couple of years, there has been an impressive flux with many businesses and institutions adopting and relying on large-scale remote working and remote learning environments to maintain workforce and learning continuity. During this time, it’s generally been recognised that this type of remote working/learning has been quite successful, with many businesses and institutions continuing remoting working/learning practices or introducing hybrid models with a combination of remote and office work for their staff.
One of the reasons why remote working/learning has been successful is the availability of supporting technologies that have delivered a high standard of human communication and engagement across large numbers of workers or students/faculty in remote environments. Video conferencing applications, which includes video conferencing, screen sharing, IMs and more, are such technologies that have contributed to viable remote working/learning environment success.
But to use these applications to their fullest potential, a robust IT infrastructure is also a must. Many large enterprise companies, as well as SMB and other institutions have centralised their IT environment into virtualized desktop infrastructure (VDI), either as an on-premises solution or as a managed-service by cloud service providers (CSP). Centralizing resources, applications and data into a single infrastructure allows for better IT management and security of vital resources and data which can help improve workforce productivity, data security and IT efficiencies.
Investigation overview
This blog details a recent technical investigation where popular video conferencing applications are deployed on AMD-based Azure instances to determine the performance of each application, the number of deployable users in a multi-session environment, and the user experience each person would receive. The AMD-based instances includes both CPU-only based instances and CPU+GPU based instances to understand the impact of GPU-enabled resources to the density and experience of the users.
So next let’s look at the various parameters for the investigation.
The Lab:
For the investigation, we had three areas of consideration:
| |  | |
| 1) Azure session host | 2) Application | 3) End-point devices |
Findings Video conference with Azure Virtual Desktop using Zoom
Introduction
Over the last couple of years, there has been an impressive flux with many businesses and institutions adopting and relying on large-scale remote working and remote learning environments to maintain workforce and learning continuity. During this time, it’s generally been recognised that this type of remote working/learning has been quite successful, with many businesses and institutions continuing remoting working/learning practices or introducing hybrid models with a combination of remote and office work for their staff.
One of the reasons why remote working/learning has been successful is the availability of supporting technologies that have delivered a high standard of human communication and engagement across large numbers of workers or students/faculty in remote environments. Video conferencing applications, which includes video conferencing, screen sharing, IMs and more, are such technologies that have contributed to viable remote working/learning environment success.
But to use these applications to their fullest potential, a robust IT infrastructure is also a must. Many large enterprise companies, as well as SMB and other institutions have centralised their IT environment into virtualized desktop infrastructure (VDI), either as an on-premises solution or as a managed-service by cloud service providers (CSP). Centralizing resources, applications and data into a single infrastructure allows for better IT management and security of vital resources and data which can help improve workforce productivity, data security and IT efficiencies.
Investigation overview
This blog details a recent technical investigation where popular video conferencing applications are deployed on AMD-based Azure instances to determine the performance of each application, the number of deployable users in a multi-session environment, and the user experience each person would receive. The AMD-based instances includes both CPU-only based instances and CPU+GPU based instances to understand the impact of GPU-enabled resources to the density and experience of the users.
So next let’s look at the various parameters for the investigation.
The Lab:
For the investigation, we had three areas of consideration:
| |  | |
| 1) Azure session host | 2) Application | 3) End-point devices |
Citrix Virtual Apps & Desktop 7 2112
Citrix have released a new version of Citrix Virtual Apps and Desktop 7 2112.
Important features are big improvement with HDX graphics (HDX 3D Pro), Screen sharing and much more.
Release 7 2112 is now available for download, 14th December, 2021.
Citrix Virtual Apps & Desktop 7 2112 is a CR release. Read more about CR here
Citrix Virtual Apps (former name: XenApp) Citrix Virtual Desktop (former name: XenDesktop)
Citrix raises the bar of for user experience and new product release of following technologies:
- Director 2112
- Citrix Licensing 11.17.2
- Virtual Delivery Agents 2112 for ServerOS and ClientOS
- Virtual Delivery Agent 2112 for Linux
- Citrix Federated Authentication Service 2112
- Citrix Provisioning 2112
- Profile Management 2112
- Workspace Environment Management 2112
- Session Recording 2112
- Citrix Virtual Apps and Desktop Service (December 2021)
- Citrix Virtual Apps and Desktop Standard for Azure (December 2021)
- Citrix Cloud Health Check
- Workspace App 2112 for Windows
- Workspace App 2112 for Linux
- Workspace App 2112 for Chrome
- Workspace App 2112 for Android
- Workspace App 2112 for MacOS
- Workspace App 2112 for HTML5
- Workspace App 2112 for ChromeOS
