Nvidia vGPU software delivers an improved user experience and the performance of the latest GPUs needed to run the most demanding graphics, AI and high performance computing workloads in virtualized environments.
Whether you’re editing cinema-quality video in the field or designing a new product from a home office, vGPU delivers the resolution required to create your best work, even if you’re not at work.
The Nvidia software now provides support for up to two 8K displays with the Quadro Virtual Data Center Workstation (Quadro vDWS) software license. Designers can see more details in context without the need to zoom in and out of images. Professionals can use multiple or widescreen displays to accelerate their workflows while optimizing GPU usage and maximizing efficiency through virtualization.
Additionally, GRID virtual PC (GRID vPC) software now includes support for 5K displays, bringing the benefits of better display performance to mainstream VDI users.
With Quadro vDWS and GRID vPC, those working with today’s highest-resolution graphics can access powerful GPU performance, even when using multiple 4K, 5K or 8K displays in a virtual environment.
Operations and upgrades, simplified
Powered by Nvidia RTX 8000 and RTX 6000, vGPU software accelerates high-performance Quadro virtual workstations that enable artists to create 3D visualizations even faster with photorealistic quality. With the flexibility to provision virtual graphics workstations and compute-intensive workloads from a single RTX Server with Quadro vDWS or vComputeServer, respectively, vGPU software products extend the power of RTX to designers working on any device.
vGPU software also supports Nvidia V100S GPUs, the most powerful processors for AI, to accelerate complex deep learning, data science and HPC workflows in a virtualized environment with Nvidia vComputeServer.
Today’s Nvidia forecast: increasing virtual clouds
Nvidia vGPU in the cloud is expanding, with Tencent Cloud announcing the world’s first vGPU compute offering with support for Nvidia T4 GPUs and vComputeServer on the public cloud. The new Tencent Cloud GN7 instances have been architected to help Tencent Cloud customers easily implement and scale data analytics, machine learning, AI and other enterprise workloads.