COVID 19 impact: NVIDIA Expands Free Access to GPU Virtualization Software

Express Computer | March 25, 2020

In the aftermath of COVID19, with many companies needing to quickly support employees now working remotely, NVIDIA is expanding free, 90-day virtual GPU software evaluation from 128 to 500 licenses. With vGPU software licenses, companies can use their on-premises NVIDIA GPUs to provide accelerated virtual infrastructure so people can work and collaborate from anywhere. Companies can also temporarily repurpose NVIDIA GPUs being used on other projects to support their remote workers. Every organization is working hard to address these needs: Healthcare providers are supporting care from new locations. Schools are expanding their virtual classrooms. Agencies are coordinating critical services. Whether supporting financial professionals working with data on multiple screens, scientists conducting research, or designers working in graphics-intensive applications, enterprises are faced with different workloads that have different requirements.

Spotlight

Conceptually, virtualization is the capability of a device to host one or more virtual machines (VMs) that each behave like actual independent machines with their own operating system (OS), all running on the same underlying device hardware. In regard to GPUs, this means the capability to support multiple concurrently running operating systems, each capable of submitting graphics workloads to the single graphics hardware entity. GPU virtualization is now a must-have for a range of next-generation applications, from automotive, to consumer electronics, to the IoT. GPUs that implement hardware virtualization can provide isolation between the various applications/OSs for increased security, as well as maximum utilisation of the underlying GPU hardware.

Spotlight

Conceptually, virtualization is the capability of a device to host one or more virtual machines (VMs) that each behave like actual independent machines with their own operating system (OS), all running on the same underlying device hardware. In regard to GPUs, this means the capability to support multiple concurrently running operating systems, each capable of submitting graphics workloads to the single graphics hardware entity. GPU virtualization is now a must-have for a range of next-generation applications, from automotive, to consumer electronics, to the IoT. GPUs that implement hardware virtualization can provide isolation between the various applications/OSs for increased security, as well as maximum utilisation of the underlying GPU hardware.

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Cisco | November 06, 2020

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VMware | June 29, 2022

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Telco Systems and Stem Connect Collaborate to Accelerate the Rollout of Service Virtualization on Telecommunications Networks

Telco Systems | July 15, 2021

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