NVIDIA Announces Important Updates to its vGPU Offering

The News: NVIDIA is giving these millions of professionals around the world a boost with a new version of our virtual GPU software, vGPU July 2020. The software adds support for more workloads and is loaded with features that improve operational efficiencies for IT administrators.

GPU virtualization is key to offering everyone from designers to data scientists a flexible way to collaborate on projects that require advanced graphics and computing power, wherever they are. Read the full release from NVIDIA.

Analyst Take:  This week NVIDIA announced a series of updates to its vGPU offering. The updates focused on three main areas including updated support for Linux, improvements to next generation collaboration capabilities and increased support for IT operators to manage virtualized deployments. Here is a deeper look and analysis on the updates and impact of each. 

Extended Hypervisor Support with SUSE

In the first of the three updates. NVIDIA has expanded hypervisor support by partnering with SUSE on its Linux Enterprise Server, providing vGPU support on its kernel-based virtual machine platform.

According to the release, Initial offerings will be supported with NVIDIA vComputeServer software, enabling GPU virtualization for AI and data science workloads. This will expand hypervisor platform options for enterprises and cloud service providers that are seeing an increased need to support GPUs.

Simply put, more and more AI/ML workloads are being accelerated using systems that aren’t traditional HPC. This is the case in point type of workload for vGPU as this can turn virtualized environments into usable machines for data science and is something that traditional virtualization is largely incapable of doing.

Next Generation VR and AR using NVIDIA vGPU + RTX

Second, NVIDIA announced that its CloudXR technology will use NVIDIA RTX and vGPU software to deliver VR and augmented reality across 5G and Wi-Fi networks. With the vGPU July 2020 update, it adds 120Hz VSync support at resolutions up to 4K, giving CloudXR users an even smoother immersive experience on untethered devices.

While the idea of immersive technologies like AR/MR/VR in a virtualized environment sounds like a significant opportunity, the required acceleration and graphics support far exceeds traditional virtualization on a CPU. The updates from NVIDIA here makes it possible to deliver a fidelity that’s indistinguishable from native tethered configurations–which is what the market has sought but cannot be done without augmenting virtualized environments with GPU based acceleration. 

Making Life Better for IT Operators

The last announcement included a series of new features in vGPU July 2020 that can help enterprise IT admins and cloud service providers streamline management, boosting their operational efficiency. Key updates include cross-branch support, where the host and guest vGPU software can be on different versions, easing upgrades and large deployments.

Another simple, yet important update. Large deployments of virtualized environments are increasingly requiring more CPU resources as well IT management and intervention to maintain productivity and usability across the enterprise. These updates check boxes that reflect the day to day challenges for IT Operators–especially those that have volumes of virtualized environments where different software and configurations are required for different work types. 

In the wake of Covid-19, with more and more at home workers, I expect this to become a bigger issue requiring better tool sets to manage–I believe vGPU July 2020 meets some of those expected requirements. 

Overall Impressions of NVIDIA’s vGPU Update Announcements

While NVIDIA didn’t make a big splash about these announcements, it doesn’t mean they aren’t important. As more and more work from home growth takes place and as everyday applications continue to require more resources in areas like Graphics and AI/ML, you can expect virtualized GPU capabilities to gain momentum. I’m encouraged by these updates and expect enterprises to meet these updates with a positive reception. 

Futurum Research provides industry research and analysis. These columns are for educational purposes only and should not be considered in any way investment advice.

Read more analysis from Futurum Research:

IBM, Microsoft and Amazon Suspend Police Access to Facial Recognition Tech, Prompt US Lawmakers to Act

Rumors Emerge of Dell Expanding Ownership or Spinning Off VMware?

HPE Turns to Containers With Its Ezmeral Software

Image Credit: NVIDIA

Author Information

Daniel is the CEO of The Futurum Group. Living his life at the intersection of people and technology, Daniel works with the world’s largest technology brands exploring Digital Transformation and how it is influencing the enterprise.

From the leading edge of AI to global technology policy, Daniel makes the connections between business, people and tech that are required for companies to benefit most from their technology investments. Daniel is a top 5 globally ranked industry analyst and his ideas are regularly cited or shared in television appearances by CNBC, Bloomberg, Wall Street Journal and hundreds of other sites around the world.

A 7x Best-Selling Author including his most recent book “Human/Machine.” Daniel is also a Forbes and MarketWatch (Dow Jones) contributor.

An MBA and Former Graduate Adjunct Faculty, Daniel is an Austin Texas transplant after 40 years in Chicago. His speaking takes him around the world each year as he shares his vision of the role technology will play in our future.


Latest Insights:

The Futurum Group’s Guy Currier provides his insights into the advancements in the creation and operation of applications and their foundational data, along with AI, showcasing the rapid progress being made in cloud and application development.
Kubecon and the Vendors Lay Out Strategies for Driving AI
Camberley Bates, Vice President at The Futurum Group, covers the pressing issues of memory constraints and highlights from Memcon 2024.
Empowering Developers with Advanced AI Capabilities and Enhanced Data Analytics Solutions
Paul Nashawaty, Practice Lead at The Futurum Group, provides his insights on the transformative impact of Google's Data Cloud innovations and the implications for developers and enterprises navigating the evolving landscape of AI and data analytics.
Navigating the Future of AI: Analyst Perspectives on Google’s Latest Innovations and their Impact on Developers
Paul Nashawaty, Practice Lead at The Futurum Group, provides his insights into the transformative impact of Google's AI announcements at Google Next and their implications for the future of AI development and adoption.