NVIDIA virtual GPUs support A40 and A100 GPUs

NVIDIA's latest virtual GPU (vGPU) technology allows enterprises to provide their employees with more power and flexibility through GPU-accelerated virtual machines from the data centre or cloud.

The new vGPU software brings GPU virtualisation to a broad range of workloads — such as virtual desktop infrastructure (VDI), high-performance graphics, data analytics and artificial intelligence (AI) — thanks to its support for the new NVIDIA A40 and NVIDIA A100 80GB GPUs. The new release also supports the NVIDIA GPU Operator, a software framework that simplifies GPU deployment and management.

NVIDIA RTX Virtual Workstation (vWS) software is a major component of the vGPU portfolio, designed to help users run graphics-intensive applications on virtual workstations. With NVIDIA A40 powering NVIDIA RTX vWS, professionals can achieve up to 60%* faster virtual workstation performance per user and 2x** faster rendering than the previous-generation RTX 6000 GPUs.

NVIDIA A40 support with the latest vGPU software enables complex graphics workloads to be run in a virtualised environment with performance that is on par with bare metal, servers used for dedicated services. The NVIDIA A40 includes second-generation RT Cores and third-generation Tensor Cores to help users accelerate workloads like photorealistic rendering of movie content, architectural design evaluations, and virtual prototyping of product designs. With 48 GB of GPU memory, professionals can easily work with massive datasets and run demanding workloads like data science or simulation with even larger model sizes.

“With support for NVIDIA’s latest vGPU software, and the new NVIDIA A40 with Citrix Hypervisor 8.2 and Citrix Virtual Desktops, we can continue providing the performance customers need to run graphics- intensive visualisation applications as their data and workloads grow,” said Calvin Hsu, VP of product management at Citrix.

“The combination of Citrix and NVIDIA virtualisation technologies provides access to these applications from anywhere, with an experience that is indistinguishable from a physical workstation.”

The NVIDIA vGPU January 2021 software release supports the NVIDIA A100 80GB GPU to deliver increased memory bandwidth, unlocking more power for large models. This builds on the September release, which introduced compute features that included support for the NVIDIA A100 Tensor Core GPU, NVIDIA's most advanced GPU for AI and high performance computing.

Other new features include simplified GPU management in Kubernetes through NVIDIA GPU Operator, which is now supported with NVIDIA Virtual Compute Server and NVIDIA RTX vWS software. Containers, including the GPU-optimised software available in the NGC catalogue, can be easily deployed and managed in virtual machines (VMs).

With this new release, users can continue managing multitenant workflows running in VMs using popular hypervisors like Red Hat Enterprise Linux (RHEL), while the certified GPU Operator brings a similar experience to containerised deployments on top of Red Hat virtualisation platforms using Red Hat OpenShift.

“The combination of NVIDIA’s latest generation A40 GPU and NVIDIA vGPU software, supported with Red Hat Enterprise Linux and Red Hat Virtualisation, offers a powerful platform capable of serving some of the most demanding workloads ranging from AI/ML to visualisation in the oil and gas as well as media and entertainment industries,” said Steve Gordon, Director of product management at Red Hat. ML refers to machine learning.

“As organisations transform and increasingly use containers orchestrated by Kubernetes as key building blocks for their applications, we see Red Hat OpenShift as a likely destination for containerised and virtualised workloads alike.”

The NVIDIA vGPU software portfolio includes:

• NVIDIA RTX Virtual Workstation (RTX vWS) (formerly known as Quadro Virtual Data Centre Workstation or Quadro vDWS)

• NVIDIA Virtual Compute Server (vCS)

• NVIDIA Virtual PC (vPC) (formerly known as GRID vPC)

• NVIDIA Virtual Applications (vApps) (formerly known as GRID vApps)

Explore:

Find a certified server on the NVIDIA vGPU Certified Server page.

*Tested on a server with Intel Xeon Gold 6154 3.0 GHz 3.7 GHz Turbo, RHEL 8.2, vGPU 12.0 software, running four concurrent users per GPU, RTX6000P-6Q versus A40-12Q, running SPECviewperf 2020 Subtest 4K 3dsmax-07 composite.

**Iray 2020.1. Render time (seconds) of NVIDIA Endeavor scene.

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