Vmware Workstation Pro Supported Guest Os

[Gibert Chisholm]

thenI find out there is no guest additions for mac osx from virtualbox. So graphics slow and laggy. Resolutions not supported. Copy paste between host and guest? nope. Share folder host and guest? nope.

For optimal operation, configure your virtual machines (VMs) only with CPU models and pass-through devices that are certified for the guest operating system running on the VM. For CPU models and pass-through devices supported on a RHEL guest operating system, see the Hardware Catalog to search for supported CPU models and Pass-through devices.

Note : Red Hat may chose to continue providing hypervisor support for a guest operating system beyond the supported life cycle of that guest operating system. However, customers are recommended to review with the guest operating system vendor support policies relating to support for end of life products.

The following is the list of Red Hat and third-party guest operating systems that are certified and supported for use with Red Hat Virtualization, Red Hat OpenStack Platform and Red Hat Cloud Infrastructure hosts.

The following is the list of Red Hat and third-party guest operating systems that are certified and supported for use with Red Hat Enterprise Linux hosts on IBM POWER8 and POWER9 hardware, using the rhev-qemu-kvm kernel module.

Note : Red Hat Enterprise Linux hosts on IBM POWER8 and POWER9 hardware are integrated into and used within Red Hat Virtualization. Red Hat Virtualization does not support installing the RHEV-H minimal operating system on IBM POWER8 hardware.

Note : Since Microsoft does not have SVVP certification for client/workstation operating systems, the client/workstation operating system will be supported by Red Hat in the same way as the corresponding server operating system. For example, Windows 11 will be supported in the same way as Windows Server 2022. For certification details, see the Microsoft SVVP site.

If you are upgrading from a previous release of everRun and your system is already running guest operating systems that were supported in the previous release, the guests will also be supported when you upgrade to the current release, even if they are not listed in the following table.

For information about VM import restrictions and P2V (physical-to-virtual) or V2V (virtual-to-virtual) migration restrictions for some guest operating systems, see the footnotes in the following table.

For more than 40 years, Stratus has provided high-availability, fault-tolerant computing to Fortune 500 companies and small-to-medium sized businesses enabling them to securely and remotely run mission-critical applications without downtime at the data center and Edge to turn data into actionable intelligence.

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.

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.

When NVIDIA vGPU Manager is used with guest VM drivers from a different release within the same branch or 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 17.3 is used with guest drivers from release 16.4, the combination does not support Windows Server 2019 because NVIDIA vGPU software release 17.3 does not support Windows Server 2019.

This release family of NVIDIA vGPU software provides support for several NVIDIA GPUs on validated server hardware platforms, VMware vSphere hypervisor software versions, and guest operating systems. It also supports the version of NVIDIA CUDA Toolkit that is compatible with R550 drivers.

VMware vSphere Hypervisor (ESXi) supports a mixture of different types of time-sliced vGPUs on the same physical GPU. Any combination of A-series, B-series, and Q-series vGPUs with any amount of frame buffer can reside on the same physical GPU simultaneously. The total amount of frame buffer allocated to the vGPUs on a physical GPU must not exceed the amount of frame buffer that the physical GPU has.

By default, a GPU supports only vGPUs with the same amount of frame buffer and, therefore, is in equal-size mode. To support vGPUs with different amounts of frame buffer, the GPU must be put into mixed-size mode. When a GPU is in mixed-size mode, the maximum number of some types of vGPU allowed on a GPU is less than when the GPU is in equal-size mode. For more information, refer to Virtual GPU Software User Guide.

VMware vSphere Hypervisor (ESXi) 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.

VMware vSphere Hypervisor (ESXi) does not support a mixture of different types of time-sliced vGPUs on the same GPU. All vGPUs on a single GPU must be of the same type: They must belong to the same vGPU series and be allocated the same amount of frame buffer.

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.

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.

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.

If a GPU that requires more than 32 GB of MMIO space is assigned to a VM, the VM's MMIO space must be increased as explained in VMware Knowledge Base Article: VMware vSphere VMDirectPath I/O: Requirements for Platforms and Devices (2142307).

In a Linux VM, if the requirements for using C-Series vCS vGPUs or GPUs requiring large MMIO space in pass-through mode are not met, the following error messages are written to the VM's dmesg log during installation of the NVIDIA vGPU software graphics driver:

Support for NVIDIA vGPU software requires the vSphere Foundation edition of VMware vSphere Hypervisor (ESXi) or a vSphere Enterprise Plus license. For details, see VMware vSphere Edition Comparison (PDF).

Updates to a base release of VMware Horizon and VMware vCenter Server are compatible with the base release and can also be used with this version of NVIDIA vGPU software unless expressly stated otherwise.

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

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

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 12.4 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.

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.

vGPU Migration, which includes vMotion and suspend-resume, is supported on all supported GPUs, but only on a subset of supported VMware vSphere Hypervisor (ESXi) releases and guest operating systems.

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.

You can assign multiple vGPUs with differing amounts of frame buffer to a single VM, provided the board type and the series of all the vGPUs is the same. For example, you can assign an A40-48Q vGPU and an A40-16Q vGPU to the same VM. However, you cannot assign an A30-8Q vGPU and an A16-8Q vGPU to the same VM.

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, VMware vSphere Hypervisor (ESXi) releases, and guest OS releases.

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.

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