Unleashing NVIDIA GRID 2.0
Archive notice, November 2026: This post covers the NVIDIA GRID 2.0 launch from August 2015 and stays online for reference. NVIDIA no longer uses the GRID name. The licensed products are now NVIDIA RTX Virtual Workstation (vWS), Virtual PC (vPC) and Virtual Applications (vApps). The Maxwell-based Tesla M60 and M6 boards described below are out of support: vGPU release branch 16 is the last that supports them, and its maintenance ended in July 2026. For current hardware, check NVIDIA’s list of GPUs supported by vGPU software.
NVIDIA just released their GRID 2.0 GPU technology. In earlier articles I already described vGPU and the impact of GPUs in the datacenters. With this new release NVIDIA bumped up the use cases and performance characteristics to drive adoption of GPU within VDI and SBC implementations.
With GRID 2.0 the new Maxwell processor architecture for the NVIDIA GRID cards is introduced, while the former Kepler-based K1/K2 could deliver a great user experience the new Maxwell’s will set the bar for user density without doing concessions on user performance.
How does vGPU work in one single image:

Source: NVIDIA Website
As an FYI: I recently learned that the K in K1/K2 stands for Kepler. The introduction of Maxwell leads to the M in M60/6 which are the newly introduced cards.
The benefits of GRID 2.0:
- Doubled user density: NVIDIA GRID 2.0 will allow you to push the newly introduced cards up to 128 users per server.
- Doubled application performance: Using the new Maxwell GPU architecture, GRID 2.0 will deliver twice the performance of before.
- Blade server support: Enterprises can now run GRID-enabled virtual desktops on blade servers.
- Linux support: Both Citrix and VMware now supports Linux so it makes sense to introduce Linux support for GRID 2.0 too. Enabling GPU powered desktops in a Linux based VDI environment.
Coming down to hard numbers and facts the M60 and M6 will add the following capabilities to your EUC deployments:

Compared to its predecessors the newer M60 and M6 will deliver a lot more CUDA Cores and are able to provide more power in general to enhance your EUC implementations. Hopefully this will drive vGPU adoption even more in the coming months.
Kees Baggerman
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