NVIDIA vGPU 13
It’s time to plan updating your NVIDIA Enterprise GPUs. NVIDIA vGPU Software 13 is now GA since August 2021.
NVIDIA vGPU software includes vWS, vCS, vPC, and vApps.
If you got any of followin NVIDIA GPU’s: A10, A16, A30, A40, A100, M6, M10, M60, P4, P6, P40, P100, V100, T4, RTX A5000, RTX A6000, RTX6000, RTX8000 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 13 is supported until August 2024. NVIDIA vGPU software 13 is a Long-Termin Support Branch.
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 13.0 is supported with VMware Horizon 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 13.0 is only supported with Citrix Virtual Apps & Desktops (LTSR) 7 1912, 7.15 (CR) 7 2012, 2103, 2106, 2012, 2009, 2006, 2003, 1909, 1906, 1903
This release includes the following software:
- NVIDIA vGPU Manager version 470.63 for following hypervisors. (Citrix Hypervisor, VMware vSphere, RHEL KVM)
- NVIDIA Windows driver version 471.68
- NVIDIA Linux driver version 470.63.01
New Features in Release 13.0
- Support for the following NVIDIA CUDA Toolkitfeatures on NVIDIA vGPU:
- Development tools such as IDEs, debuggers, profilers, and utilities as listed under CUDA Toolkit Major Components in NVIDIA CUDA Toolkit Release Notes for CUDA 11.4
- Tracing and profiling through the CUDA Profiling Tools Interface (CUPTI)
- Compatibility with the guest VM drivers from the previous long-term support branch (11)
- Single-slice GPU instances with decoder support
- Miscellaneous bug fixes
Hardware and Software Support Introduced in Release 13.0
- Support for the following GPUs:
- NVIDIA A100 PCIe 80GB
- NVIDIA A30
- NVIDIA A16
- Support for Windows Server 2022 with Hyper-V role
- Support for Windows Server 2022 as a guest OS
- Support for Citrix Virtual Apps and Desktops version 7 2106
- Support for VMware Horizon 2106 (8.3)
Feature Support Withdrawn in Release 13.0
- The following GPUs are no longer supported on VMware vSphere:
- NVIDIA A100 HGX 80GB
- NVIDIA A100 PCIe 40GB
- NVIDIA A100 HGX 40GB
- NVIDIA Virtual Compute Server (vCS) is no longer supported on VMware vSphere and C-series vGPU types are no longer available. Instead, vCS is supported on VMware vSphere with NVIDIA AI Enterprise.
- The base VMware vSphere 7.0 release and VMware vSphere 7.0 Update 1 are no longer supported.
Supported NVIDIA GPUs with vGPU 13.0
- M6
- M10
- M60
- P4
- P6
- P40
- P100 PCIe 16 GB
- P100 SXM2 16 GB
- P100 PCIe 12GB
- V100 SXM2
- V100 SXM2 32GB
- V100 PCIe
- V100 PCIe 32GB
- V100S PCIe 32GB
- V100 FHHL
- T4
- A10
- A16
- A30
- A40
- A100 HGX 80GB
- A100 PCIe 40GB
- A100 HGX 40GB
API Support on NVIDIA vGPU 13.0
- Open Computing Language (OpenCL™ software) 1.2
- OpenGL® 4.6
- Vulkan® 1.1
- DirectX 11
- DirectX 12 (Windows 10)
- Direct2D
- DirectX Video Acceleration (DXVA)
- NVIDIA® CUDA® 11.4
- NVIDIA vGPU software SDK (remote graphics acceleration)
- NVIDIA RTX (on GPUs based on the NVIDIA Volta graphic architecture and later architectures)
NVIDIA CUDA Toolkit and OpenCL Support on NVIDIA vGPU Software 13.0
OpenCL and CUDA applications are supported on the following NVIDIA vGPU types:
- The 8Q vGPU type on Tesla M6, Tesla M10, and Tesla M60 GPUs
- All Q-series vGPU types on the following GPUs:
- NVIDIA A10
- NVIDIA A16
- NVIDIA A40
- NVIDIA RTX A5000
- NVIDIA RTX A6000
- Tesla P4
- Tesla P6
- Tesla P40
- Tesla P100 SXM2 16 GB
- Tesla P100 PCIe 16 GB
- Tesla P100 PCIe 12 GB
- Tesla V100 SXM2
- Tesla V100 SXM2 32GB
- Tesla V100 PCIe
- Tesla V100 PCIe 32GB
- Tesla V100S PCIe 32GB
- Tesla V100 FHHL
- Tesla T4
- Quadro RTX 6000
- Quadro RTX 6000 passive
- Quadro RTX 8000
- Quadro RTX 8000 passive
- All C-series vGPU types
NVIDIA vGPU supports the following NVIDIA CUDA Toolkit features if the vGPU type, physical GPU, and the hypervisor software version support the feature:
- Error-correcting code (ECC) memory
- Peer-to-peer CUDA transfers over NVLink
Supported Hypervisors with NVIDIA vGPU 13.0
- Citrix Hypervisor 7.1, 8.2 is supported with GPUs, M6, M10, M60, P4, P6, P40, P100, V100, RTX 6000, RTX 8000 Important: NVIDIA GPUs (A10, A16, A30, A40, A100, T4, RTX A5000, RTX A6000, GPUs) are not supported with Citrix Hypervisor 7.1, only with Citrix Hypervisor 8.2.vGPU features: vCS, XenMotion with vGPU, Multiple vGPU on a single VM is not supported with Citrix Hypervisor 7.1 the mentioned features and GPU’s are only supported with Citrix Hypervisor 8.2.
- VMware vSphere 6.5, 6.7, 7.0 is supported with GPUs, A10, A16, A40, M6, M10, M60, P4, P6, P40, P100, V100, T4, V100, RTX A5000, RTX A6000, RTX6000, RTX8000, Note: Support for NVIDIA vGPU software requires the Enterprise Plus Edition of VMware vSphere Hypervisor (ESXi)Important: NVIDIA GPUs vGPU features are not supported with vSphere 6.5: Assignment of multiple vGPUs to a single VM Suspend-resume with vGPU vMotion with vGPU Live VMware snapshot with vGPU vSphere 6.7 U3, the assignment of multiple vGPUs to a single VM is supported. vSphere 6.7 supports only suspend and resume with vGPU. vMotion with vGPU is not supported on release 6.7.
- Microsoft Hyper-V 2016 (1607, 1709, 1803) Microsoft Windows Server 2016 with Hyper-V role (supported with NVIDIA A10, A16, A30, A40, A100, M6, M10, M60, P4, P6, P40, P100, V100, T4, V100, RTX A5000, RTX A6000, RTX6000, RTX8000) note: Microsoft Windows Server with Hyper-V role supports GPU pass-through over Microsoft Virtual PCI bus. This bus is supported through paravirtualized drivers.
- Microsoft Server 2019 with Hyper-V role Microsoft Windows Server 2016 with Hyper-V role (supported with NVIDIA A10, A16, A30, A40, A100, M6, M10, M60, P4, P6, P40, P100, V100, T4, V100, RTX A5000, RTX A6000, RTX6000, RTX8000) note: Microsoft Windows Server with Hyper-V role supports GPU pass-through over Microsoft Virtual PCI bus. This bus is supported through paravirtualized drivers.
- Microsoft Server 2022 with Hyper-V role Microsoft Windows Server 2016 with Hyper-V role (supported with NVIDIA A10, A16, A30, A40, A100, M6, M10, M60, P4, P6, P40, P100, V100, T4, V100, RTX A5000, RTX A6000, RTX6000, RTX8000) note: Microsoft Windows Server with Hyper-V role supports GPU pass-through over Microsoft Virtual PCI bus. This bus is supported through paravirtualized drivers.
- Red Hat Enterprise Linux with KVM Red Hat Enterprise Linux with KVM 8.1, 8.2, 8.3, 8.4 (supported with NVIDIA A10, A16, A30, A40, A100, M6, M10, M60, P4, P6, P40, P100, V100, T4, RTX A5000, RTX A6000, RTX6000, RTX8000)Red Hat Enterprise Linux with KVM 7.7,7.8,7.9 (supported with NVIDIA A10, A16, A30, A40, A100, M6, M10, M60, P4, P6, P40, P100, V100, T4, RTX A5000, RTX A6000, RTX6000, RTX8000)Red Hat Virtualization (RHV) 4.4 (supported with NVIDIA A10, A16, A30, A40, A100, M6, M10, M60, P4, P6, P40, P100, V100, T4, RTX A5000, RTX A6000, RTX6000, RTX8000)
Supported Cloud Services for vGPU 13.0
NVIDIA virtual GPU software is supported on several cloud services with bring your own license (BYOL) licensing and licensing provided by the cloud service. Read more here:
- Alibaba Cloud
- Amazon Web Services Elastic Compute Cloud (AWS EC2)
- Google Cloud Platform (GCP)
- Microsoft Azure
Alibaba Cloud
NVIDIA vGPU Support
| GPU | Supported Alibaba Cloud ECS Instances | Supported Guest Operating Systems | NVIDIA Licensing |
|---|---|---|---|
| Tesla P4 | ecs.vgn5i-m1.large ecs.vgn5i-m2.xlarge ecs.vgn5i-m4.2xlarge ecs.vgn5i-m8.4xlarge | Microsoft Windows Server 2019 Microsoft Windows Server 2016 1607, 1709 Microsoft Windows Server 2012 R2 CentOS 7.x (64-bit) Red Hat Enterprise Linux 7.5 (64-bit) SUSE Linux Enterprise Server 11 SP4/12 SP2 (64-bit) Ubuntu 16.04 LTS (64-bit) | BYOL |
GPU Pass Through Support
| GPU | Supported Alibaba Cloud ECS Instances | Supported Guest Operating Systems | NVIDIA Licensing |
|---|---|---|---|
| Tesla P4 | ecs.gn5i-c2g1.large ecs.gn5i-c4g1.xlarge ecs.gn5i-c8g1.2xlarge ecs.gn5i-c16g1.4xlarge ecs.gn5i-c16g1.8xlarge ecs.gn5i-c28g1.14xlarge | Windows Server 2019 Windows Server 2016 1607, 1709 Windows Server 2012 R2 CentOS 7.x (64-bit) Red Hat Enterprise Linux 7.4/7.5 (64-bit) SUSE Linux Enterprise Server 11 SP4/12 SP2 (64-bit) Ubuntu 16.04 LTS (64-bit) | BYOL |
| Tesla P100 | ecs.gn5-c4g1.xlarge ecs.gn5-c8g1.2xlarge ecs.gn5-c4g1.2xlarge ecs.gn5-c8g1.4xlarge ecs.gn5-c28g1.7xlarge ecs.gn5-c8g1.8xlarge ecs.gn5-c28g1.14xlarge ecs.gn5-c8g1.14xlarge | ||
| Tesla T4 | ecs.gn6i-c4g1.xlarge ecs.gn6i-c8g1.2xlarge ecs.gn6i-c16g1.4xlarge ecs.gn6i-c24g1.6xlarge ecs.gn6i-c24g1.12xlarge ecs.gn6i-c24g1.24xlarge ecs.gn6i-c32g1.8xlarge ecs.gn6i-c48g1.12xlarge ecs.gn6i-c72g1.18xlarge | ||
| Tesla V100 | ecs.gn6v-c8g1.2xlarge ecs.gn6v-c8g1.8xlarge ecs.gn6v-c8g1.16xlarge |
Related Alibaba Cloud Documentation
Create a compute optimized instance with GPU vgn5i, light-weight compute optimized type family with GPU Install the GPU driver Install a GRID driver in a GPU-equipped ECS instance (Linux)
Amazon Web Services Elastic Compute Cloud (AWS EC2)
| PU | Supported AWS EC2 Instances | Supported Guest Operating Systems | NVIDIA Licensing |
|---|---|---|---|
| Tesla M60 | g3.4xlarge g3.8xlarge g3.16xlarge g3s.xlarge | Microsoft Windows Server 2019 Microsoft Windows Server 2016 1607, 1709 Microsoft Windows Server 2012 R2 Red Hat Enterprise Linux 7.x (64-bit) Ubuntu 16.04 LTS (64-bit) | Provided by AWS |
| Tesla T4 | g4dn.xlarge g4dn.2xlarge g4dn.4xlarge g4dn.8xlarge g4dn.12xlarge g4dn.16xlarge | Microsoft Windows Server 2019 Microsoft Windows Server 2016 1607, 1709 Red Hat Enterprise Linux 7.x (64-bit) Ubuntu 18.04 LTS (64-bit) | |
| Tesla M60 | g3.4xlarge g3.8xlarge g3.16xlarge g3s.xlarge | Microsoft Windows Server 2019 Microsoft Windows Server 2016 1607, 1709 Microsoft Windows Server 2012 R2 Red Hat Enterprise Linux 7.x (64-bit) Ubuntu 14.04 LTS/16.04 LTS/18.04 LTS (64-bit) | BYOL |
| Tesla T4 | g4dn.xlarge g4dn.2xlarge g4dn.4xlarge g4dn.8xlarge g4dn.12xlarge g4dn.16xlarge | Microsoft Windows Server 2019 Microsoft Windows Server 2016 1607, 1709 Red Hat Enterprise Linux 7.x (64-bit) Ubuntu 18.04 LTS (64-bit) | |
| Tesla V100 | P3.2xlarge P3.8xlarge P3.16xlarge | Microsoft Windows Server 2019 Microsoft Windows Server 2016 1607, 1709 Microsoft Windows Server 2012 R2 Red Hat Enterprise Linux 7.x (64-bit) Ubuntu 14.04 LTS/16.04 LTS/18.04 LTS (64-bit) |
Related AWS EC2 Documentation
Linux Accelerated Computing Instances Windows Accelerated Computing Instances
Google Cloud Platform (GCP)
| GPU | Supported GCP Instances | Supported Guest Operating Systems | NVIDIA Licensing |
|---|---|---|---|
| Tesla P4 | Any predefined machine type Any custom machine type that can be created in a zone | Microsoft Windows Server 2019 Microsoft Windows Server 2016 1607, 1709 Microsoft Windows Server 2012 R2 Red Hat Enterprise Linux 7.x (64-bit) Ubuntu 16.04 LTS/18.04 LTS (64-bit) | Provided by GCP |
| Tesla P100 | |||
| Tesla T4 | |||
| Tesla P4 | Any predefined machine type Any custom machine type that can be created in a zone | Microsoft Windows Server 2019 Microsoft Windows Server 2016 1607, 1709 Microsoft Windows Server 2012 R2 Red Hat Enterprise Linux 7.x (64-bit) Ubuntu 16.04 LTS/18.04 LTS (64-bit) | BYOL |
| Tesla P100 | |||
| Tesla T4 | |||
| Tesla V100 |
Related GCP Documentation
NVIDIA and Google Cloud Platform GPUs on Compute Engine
Microsoft Azure
GPU Pass Through Support
| GPU | Supported Microsoft Azure VM Sizes | Supported Guest Operating Systems | NVIDIA Licensing |
|---|---|---|---|
| Tesla M60 | NV6 NV12 NV24 NV12s_v3 NV24s_v3 NV48s_v3 | Microsoft Windows Server 2019 Microsoft Windows Server 2016 1607, 1709 Microsoft Windows Server 2012 R2 Microsoft Windows 10 Red Hat Enterprise Linux 7.x (64-bit) SUSE Linux Enterprise Server 12 SP2 Ubuntu 18.04 LTS (64-bit) | Provided by Microsoft Azure |
| Tesla T4 | NC4as_T4_v3 NC8as_T4_v3 NC16as_T4_v3 NC64as_T4_v3 | ||
| Tesla M60 | NV6 NV12 NV24 NV12s_v3 NV24s_v3 NV48s_v3 | Microsoft Windows Server 2019 Microsoft Windows Server 2016 1607, 1709 Microsoft Windows Server 2012 R2 Microsoft Windows 10 Red Hat Enterprise Linux 7.x (64-bit) SUSE Linux Enterprise Server 12 SP2 Ubuntu 16.04 LTS/18.04 LTS (64-bit) | BYOL |
| Tesla P40 | ND6s ND12s ND24s | ||
| Tesla P100 | NC6s_v2 NC12s_v2 NC24s_v2 | ||
| Tesla V100 | NC6s_v3 NC12s_v3 NC24s_v3 |
Related Microsoft Azure Documentation
GPU optimized virtual machine sizes NVIDIA GPU Driver Extension for Windows NVIDIA GPU Driver Extension for Linux Install NVIDIA GPU drivers on N-series VMs running Windows Install NVIDIA GPU drivers on N-series VMs running Linux
Related NVIDIA Knowledge Base Articles
Known issue: Microsoft Azure Linux image fails to acquire an NVIDIA virtual GPU software license
Supported Hypervisor with migration of vGPU 13.0 across hypervisor
- XenMotion with vGPU is supported with Citrix XenServer 8.2
- vMotion with vGPU is supported with VMware vSphere 6.7 CU2, CU3
Supported VMware vSphere Hypervisor (ESXi) releases:
- Release 7.0 and compatible updates support vMotion with vGPU and suspend-resume with vGPU.
- Release 6.7 U1 and compatible updates support vMotion with vGPU and suspend-resume with vGPU.
- Release 6.7 supports only suspend-resume with vGPU.
- Releases earlier than 6.7 do not support any form of vGPU migration.
Supported guest OS releases: Windows and Linux
Supported GPUs, that support vGPU Migration Support
- Tesla M6
- Tesla M10
- Tesla M60
- Tesla P4
- Tesla P6
- Tesla P40
- Tesla V100 SXM2
- Tesla V100 SXM2 32GB
- Tesla V100 PCIe
- Tesla V100 PCIe 32GB
- Tesla V100 FHHL
- Tesla T4
- RTX6000
- RTX8000Note: A VM configured with a C-series vGPU on a Quadro RTX 8000 passive or Quadro RTX 6000 passive GPU cannot be migrated between a host that is running a vGPU manager from an NVIDIA vGPU software 12 release and a host running a vGPU manager from an NVIDIA vGPU software 11 release.
What is MULTI-vGPU
Supported Hypervisor with Multiple vGPU support
Following Hypervisors is supported with assigning multiple vGPU to a single VM:
- VMware vSphere 7.0, 6.7CU3 and later compatible updates only.
- Citrix Hypervisor 8.2
- RHEL KVM 7.7, 7.8, 7.9, 8.1, 8.2, 8.3
- RHV 4.2, 4.3, 4.4
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
Supported vGPUs profile with (Multiple vGPU support functionality)
Only Q-series vGPUs that are allocated all of the physical GPU’s frame buffer are supported.
| GPU Architecture | Board | vGPU |
|---|---|---|
| Ampere | NVIDIA A40 | A40-48Q See Note (1). |
| NVIDIA A16 | A16-16Q See Note (1). | |
| NVIDIA A10 | A10-24Q See Note (1). | |
| NVIDIA RTX A6000 | A6000-48Q See Note (1). | |
| NVIDIA RTX A5000 | A5000-24Q See Note (1). | |
| Turing | Tesla T4 | T4-16Q |
| Quadro RTX 6000 | RTX6000-24Q | |
| Quadro RTX 6000 passive | RTX6000P-24Q | |
| Quadro RTX 8000 | RTX8000-48Q | |
| Quadro RTX 8000 passive | RTX8000P-48Q | |
| Volta | Tesla V100 SXM2 32GB | V100DX-32Q |
| Tesla V100 PCIe 32GB | V100D-32Q | |
| Tesla V100S PCIe 32GB | V100S-32Q | |
| Tesla V100 SXM2 | V100X-16Q | |
| Tesla V100 PCIe | V100-16Q | |
| Tesla V100 FHHL | V100L-16Q | |
| Pascal | Tesla P100 SXM2 | P100X-16Q |
| Tesla P100 PCIe 16GB | P100-16Q | |
| Tesla P100 PCIe 12GB | P100C-12Q | |
| Tesla P40 | P40-24Q | |
| Tesla P6 | P6-16Q | |
| Tesla P4 | P4-8Q | |
| Maxwell | Tesla M60 | M60-8Q |
| Tesla M10 | M10-8Q | |
| Tesla M6 | M6-8Q |
Maximum vGPUs per VM
NVIDIA vGPU software supports up to a maximum of four vGPUs per VM on VMware vSphere Hypervisor (ESXi). VMware vSphere, Citrix Hypervisor, RHV or Red Hat Enterprise Linux with KVM.
Peer-to-Peer CUDA transfer 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 is supported only on a subset of vGPUs
Supported Hypervisor
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
Supported Guest OS Releases
Linux only. Peer-to-Peer CUDA Transfers over NVLink are not supported on Windows.
Supported vGPUs
Only Q-series vGPUs that are allocated all of the physical GPU’s frame buffer on physical GPUs that support NVLink are supported.
| GPU Architecture | Board | vGPU |
|---|---|---|
| Ampere | NVIDIA A40 | A40-48Q |
| NVIDIA A10 | A10-24Q | |
| NVIDIA RTX A6000 | A6000-48Q | |
| NVIDIA RTX A5000 | A5000-24Q | |
| Turing | Quadro RTX 6000 | RTX6000-24Q |
| Quadro RTX 6000 passive | RTX6000P-24Q | |
| Quadro RTX 8000 | RTX8000-48Q | |
| Quadro RTX 8000 passive | RTX8000P-48Q | |
| Volta | Tesla V100 SXM2 32GB | V100DX-32Q |
| Tesla V100 SXM2 | V100X-16Q | |
| Pascal | Tesla P100 SXM2 | P100X-16Q |
- Supported only on the following hardware:
- NVIDIA HGX™ A100 4-GPU baseboard with four fully connected GPUs
NVIDIA GPU Operator Support
NVIDIA GPU Operator simplifies the deployment of NVIDIA vGPU software with software container platforms on immutable operating systems. An immutable operating system does not allow the installation of the NVIDIA vGPU software graphics driver directly on the operating system. NVIDIA GPU Operator is supported only on specific combinations of VMware vSphere Hypervisor (ESXi) release, container platform, and guest OS release.
| VMware vSphere Hypervisor (ESXi)Release | Container Platform | Guest OS |
|---|---|---|
| VMware vSphere Hypervisor (ESXi) 7.0 Update 2 | VMware Tanzu Kubernetes Grid | Ubuntu 20.04 LTS |
| VMware vSphere Hypervisor (ESXi) 7.0 Update 2 | Red Hat Openshift 4.7 with Red Hat Enterprise Linux CoreOS and the CRI-Ocontainer runtime | Red Hat CoreOS 4.7 |
| VMware vSphere Hypervisor (ESXi) 7.0 Update 2 | Red Hat Openshift 4.6 with Red Hat Enterprise Linux CoreOS and the CRI-Ocontainer runtime | Red Hat CoreOS 4.6 |
Whats new in NVIDIA Virtual GPU Manager 470.63
Included in this release are available for following hypervisors.
- NVIDIA Virtual GPU Manager versions 470.63 for Citrix XenServer 8.2
- NVIDIA Virtual GPU Manager versions 4470.63 for Citrix XenServer 7.1
- NVIDIA Virtual GPU Manager version 470.63 for VMware vSphere 7.0 Hypervisor (ESXi)
- NVIDIA Virtual GPU Manager version 470.63 for VMware vSphere 6.7 Hypervisor (ESXi)
- NVIDIA Virtual GPU Manager version 470.63for VMware vSphere 6.5 Hypervisor (ESXi)
- NVIDIA Virtual GPU Manager version 470.63 for Red Hat Enterprise Linux with KVM 7.7, 7.8, 7.9, 8.1, 8.2, 8.3, 8.4
- NVIDIA Virtual GPU Manager version 470.63 for Red Hat Virtualization RHV 4.2, 4.3, 4.4
Windows Guest OS support in NVIDIA vGPU 13.0 – 471.68
NVIDIA vGPU 471.68 supports following Windows release as a guest OS
- Windows Server 2022
- Windows Server 2019
- Windows Server 2016 1607, 1709
- Windows Server 2012 R2 with patch Windows8.1-KB3133690-x64.msu (not supported on GPUs based on architectures after the NVIDIA Turing architecture)
- Windows 10 May 2021 Update (21H1) and all Windows 10 releases supported by Microsoft up to and including this release
Linux Guest OS support in NVIDIA vGPU 13.0 – 470.63.01
NVIDIA vGPU 470.63.01 supports following Linux distributions as a guest OS only on supported Tesla GPUs
- Red Hat Enterprise Linux 7.7-7.9, 8.1, 8.2, 8.4
- CentOS 7.6, 7.7, 8.0, 8 (1911)
- Ubuntu 18.04 LTS
- Ubuntu 16.04 LTS
- SUSE Linux Enterprise Server 15 SP2
- SUSE Linux Enterprise Server 12 SP2
Source
https://docs.nvidia.com https://www.nvidia.com/en-us/drivers/vgpu-software-driver https://docs.nvidia.com/grid/13.0/
