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Nvidia launches the 2nd version of its Grid Desktop Virtualization suite

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August 31, 2015

Nvidia said earlier today it has launched the second version of its Grid Desktop Virtualization suite, complete with two GPUs for powerful and fast servers.

Nvidia is promoting its GRID solution as a new hardware system offering, tuned specifically to the needs of graphically-demanding desktop virtualisation (VDI) workloads.

And if that sounds a bit too much, consider environments like the resources industry, where on-site engineers need CAD (computer assisted design) and specific modelling tools.

Nvidia's so-called Kepler GPUs for complex VDI workloads have been designed for use with enterprise-grade rack-mounted servers.

To be sure, the new Tesla models, described in the table below are now ready for utilization in blade servers from a wide range of vendors.

For instance, Nvidia recently worked with HP for this project, but has now brought Cisco, Dell and even Chinese server supplier Lenovo into the mix.

And of course, Citrix and vmWare are all over this release as well so that Horizon, vSphere, XenApp, XenDesktop and XenServer all work together.

Another useful addition is the support for Linux desktops. That innovation, coming as it does on top of Citrix and VMware each announcing their support for penguin-powered virtual PCs, means that this really does look to be the year of Linux on the virtual desktop.

However, let's not get all excited about GPUs in new servers representing the possibility of a new wave of super-dense GPU density-- overall, blade servers keep their I/O options lean so you can't get the high CPU to GPU ratios you'd find in a high-performance computing scenario.

But Nvidia does feel it won't be long before people in the IT industry further investigate the new Tesla GPUs for applications other than VDI.

And for those that prefer to stick closely to the VDI script, Nvidia is now talking doubled density: IE, up to 128 users per server and double the speed for virtual desktops with its new release.

Source: Nvidia Technologies.

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