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              Accelerate Virtual Desktops  with NVIDIA vGPUs



              Amp up the power of your virtual desktop infrastructure (VDI) environment and deliver a superior experience to every user, for any application and device.

              NVIDIA virtual GPU (vGPU) technology uses the power of NVIDIA GPUs and NVIDIA virtual GPU software products to offer a consistent user experience for every virtual workflow.

              vGPU technology enables every virtual machine (VM) to get GPU performance just like a physical desktop. Work that was previously done by the CPU is now offloaded to the GPU, providing users with a better experience.

              See Why More Customers Have Adopted NVIDIA vGPU accelerated VDI >

              NVIDIA virtual GPU

              HOW IT WORKS

              In a VDI environment powered by NVIDIA virtual GPU, the NVIDIA virtual GPU software is installed at the virtualization layer along with the hypervisor. The NVIDIA virtual GPU software creates virtual GPUs enabling every virtual machine (VM) to share the physical GPU installed on the server. The NVIDIA virtualization software includes a graphics driver for every VM. Quadro vDWS includes for example, the powerful Quadro driver. Because work that was typically done by the CPU is offloaded to the GPU, the user has a much better experience, and demanding engineering and creative applications can now be supported in a virtualized and cloud environment.




              End-to-end insights across your entire virtualization stack let you create, deploy, and support at large scale with lower TCO.

              Learn More >

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              LIVE MIGRATION

              LIVE MIGRATION


              Enable live migration of GPU-enabled VMs using Citrix XenMotion and VMware vMotion support with NVIDIA vGPU.

              Learn More >



              Use the power of up to four GPUs per VM to enable new workflows for rendering, simulation, and design.

              Learn More >



              NVIDIA virtual GPU software is available in three editions, so you can provide the right capabilities to each of your users based on their exact needs.



              • Where do I get the NVIDIA drivers for my virtual GPU deployment?

                NVIDIA virtual GPU solutions require both hardware and software licensing components. The NVIDIA graphics driver or the NVIDIA Quadro? drivers are available with your NVIDIA virtual GPU software license and can be downloaded from the customer portal.

              • What GPU cards are supported by NVIDIA virtual GPU software and how do I know which is right for me?

                NVIDIA virtual GPU software supports NVIDIA Quadro RTX 6000, RTX 8000, NVIDIA Tesla? GPUs based on Maxwell? (NVIDIA Tesla M6, M10, and M60), NVIDIA Pascal? (NVIDIA Tesla P4, P6, P40, P100), NVIDIA Turing (NVIDIA Tesla T4) and NVIDIA Volta (NVIDIA Tesla V100) architectures. Depending on the application, user density, and server form factor requirements, one GPU may be recommended over the others. See our line card for more information. Be sure to also check with your OEM to see which GPU is supported on their specific platform.

              • What software is required for NVIDIA virtual GPU?

                There are three editions of software products for NVIDIA virtual GPU: NVIDIA GRID? Virtual Applications (GRID vApps), NVIDIA GRID? Virtual PC (GRID vPC), and NVIDIA Quadro? Virtual Data Center Workstation (Quadro vDWS). SUMS (Support, Update, and Maintenance Subscription) must be purchased along with the NVIDIA virtual GPU software license. Refer to our Licensing Guide to learn what features are supported with each software edition.

              • How do I properly size my VDI environment?

                Sizing largely depends on the types of workloads the customer is running and the display requirements. For instance, a 1GB vGPU profile may be sufficient for a Windows 10 VDI user with general-purpose applications, but an Autodesk AutoCAD designer with three 4K resolution displays may need 2GB or more of framebuffer. Reading the performance guides by third party ISVs to understand the exact requirements of each application is highly recommended. NVIDIA Quadro Virtual Data Center Workstation Application Sizing guides are also available for specific applications like Dassault Systèmes CATIA and Siemens NX.

              • How do you quantify performance gains from using NVIDIA virtual GPU? How can we accurately measure impact of using GPU vs no GPU acceleration?

                Performance gains are achieved for each type of virtual GPU solution.For designers, running an application without GPU acceleration would be exceedingly slow in comparison. For knowledge workers,GPU acceleration increases computational density and improves user experience. Gains can be quantified using tools like VMware vRealize Operations (vROps) or the GPU Profiler.You can also refer to our whitepaper which measures user experience of a GPU-enabled VDI environment over a CPU-only VDI environment using metrics like latency, remoted frames, and image quality.


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