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How well do you know virtual GPU technology?

GPU virtualization offloads graphics rendering from a user's device to the data center. Using a virtual GPU makes VDI possible for graphics-intensive apps.

For a long time, users who work with graphics-intensive applications have not been a fit for VDI shops because they don't have enough resources at their disposal.

With virtual GPUs (vGPUs), that doesn't have to be the reality. By taking graphics rendering off the physical device and moving it to a server in the data center, virtual GPU technology allows devices to focus their resources elsewhere to keep performance up. Using a virtual GPU is particularly useful for users with low-powered PCs, smartphones or tablets because complex graphics can often slow down virtual desktops on these devices.

Now that you know why a virtual GPU can be useful, it's time to show what else you know about the technology, including facts on some of the top vendors and what GPU virtualization methods exist. 

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How have you used vGPU?
"GPU virtualization offloads graphics rendering from the server CPU, so that a user can have a better experience". A user's device still need to render the pixels that is send to it.
"GPU offloading" at the client-end also improve performance, requiring less resources (CPU, RAM, etc) and then some. Which leads to cheaper end-user devices, NOT the ripoff $300-$700 zero/thin client you see on the market now.