The latest version of vgpu improves it administrator productivity and adds new partners and workloads.
The sudden outbreak of the epidemic has brought permanent changes to the way employees work in many enterprises and institutions. From now on, they can choose to collaborate at home or in the office.
NVIDIA released the latest version of virtual GPU software in July 2020 vGPU, helping millions of professionals around the world. At the same time, the software can support more workload and add features that can improve the efficiency of IT administrators.
GPU virtualization is indispensable if everyone, from designers to data scientists, can flexibly collaborate on projects that require advanced graphics and computing power.
According to the latest research of IDC, the efficiency of employees has become the primary problem to be solved during the period when enterprises and institutions are transferred to telecommuting due to the new epidemic situation. When interviewing NVIDIA customers who use GPU to accelerate virtual desktop, market intelligence company found that there were 500-1000 users. The productivity of enterprise increased by 13%, which could save more than one million dollars annually.
Jon Peddie Research /Cadalyst analyst Alex Herrera said:
Extend data center and cloud support with SUSE
NVIDIA and SUSE cooperate on their Linux Enterprise Server to extend support for hypervisors and provide vgpu support on kernel based virtual machine platforms.
The initial product will be supported by NVIDIA vcomputeserver software to virtualize GPU for AI and data science workloads. Some enterprises and cloud service providers are aware of the growing demand for GPU support, and these products will also expand their choice of monitor platform.
SUSE Global Chief Technology Officer Brent Schroeder said:
Increased support for immersive collaboration
NVIDIA cloudxr technology provides virtual reality and augmented reality services on 5g and Wi Fi networks with NVIDIA RTX and vgpu software. The vgpu version released in July 2020 can add 120Hz Vsync support at up to 4K resolution, providing a smoother immersive experience for cloudxr users using wireless devices, and enjoy the fidelity comparable to the local wired configuration.
VMware AR/VR Director Matt Coppinger said:
The latest version of vgpu can provide a better user experience and meet the management capabilities required for demanding workloads, such as Omniverse AEC experience, which was first released recently. Omniverse AEC experience combines Omniverse, a real-time collaboration platform, with rtxserver and NVIDIA Quadro virtual workstation software for data centers. The reference design can support at most two virtual workstations on NVIDIA Quadro RTX GPU. It can not only run a variety of workload such as collaborative computer-aided design, but also perform real-time photo level rendering of the model.
Quadro VWS can provide Omniverse supported virtual workstations for new users anywhere in the world in a matter of minutes. Users do not need special client hardware, only need to use Internet connected devices, laptops or tablets, and the data in the data center is still highly secure.
Improve it administrator efficiency
The new features of the July 2020 vgpu version can help enterprise IT administrators and cloud service providers simplify management and improve work efficiency.
New features include allowing host and client vgpu software to be cross branch support of different versions, which can help simplify upgrades and large-scale deployment.
IT administrators can quickly upgrade to the latest version of the administrator to get fixes, security patches, and new features while interleaving the end-user images.
Enterprise data centers running VMware vSphere will be able to use the latest version of VMware vrealizeoperations to manage VMS with built-in vgpu to improve operational efficiency.
Similarly, Vmware recently added distributed resource scheduler support to GPU driven VM in the vSphere. vSphere 7 have now introduced a term called
For it management large-scale deployment, this means that the deployment time of the new VM is reduced to a few minutes, while the original manual deployment may take hours. Again, this feature can be used with the high availability of vmwarevsphere, so if the host fails for any reason, the VM driven by the GPU can automatically restart on another host with the correct GPU resources.
The July 2020 version of NVIDIA vgpu will be available soon. For more information, please visit nvidia.com/virtualization 。
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