New Year, New User Experience: NVIDIA vGPU Enhances Virtualization, Adds 8K VDI Display Support

Latest vGPU release measures up with NVIDIA nVector VDI user experience monitoring of virtual environments.
by Nicola Sessions

Virtual workstations can now handle applications running at 8K resolution thanks to the latest release of NVIDIA virtual GPU (vGPU) technology.

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 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, NVIDIA 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 NVIDIA Quadro vDWS or NVIDIA 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.

To boost efficiency further,  vGPU software enables underused GPU resources to run other workloads, such as virtual desktops with NVIDIA GRID, or AI and HPC with NVIDIA vComputeServer.

The latest vGPU release will be available soon.

Lakeside Software Measures VDI User Experience with NVIDIA nVector

Measuring the quality of the virtualization user experience has been a challenge for the industry, and is often a contributor to slow user adoption and even failed VDI initiatives.

Lakeside Software, a global software company that provides performance data and analytics for physical and virtual desktops, is collaborating with NVIDIA to take user experience to the next level.

NVIDIA’s nVector benchmarking tool measures key aspects of the user experience, including end-user latency, framerate, image quality and server utilization. This delivers better insights and feedback on the actual end-user experience, enabling IT to architect and size the VDI infrastructure based on relevant utilization thresholds.

SysTrack, Lakeside’s digital experience monitoring platform, collects over 10,000 data points on the endpoint every 15 seconds. The granularity of collection makes it a perfect match for discovering the root cause of user experience problems discovered by nVector. With SysTrack, IT admins can pinpoint when the problem started, what’s causing it and the best path forward to resolution.

Learn more about NVIDIA nVector in our whitepaper.

Today’s Forecast: Increasing Virtual Clouds

NVIDIA vGPU in the cloud is expanding, with Tencent Cloud recently announcing the world’s first vGPU compute offering with support for NVIDIA T4 GPUs and NVIDIA 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.

A number of sessions at GTC China this week will explore the power of NVIDIA vGPU software, including how NVIDIA virtualized GPUs power any AI workload, led by John Fanelli, vice president of NVIDIA GPU Virtualization, and Anne Hecht, senior product marketing director of NVIDIA GPU Virtualization.