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They analyze the performance achieved by the machines used by Nvidia GeForce Now

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Another surprise this week has been the official launch of NVidia GeForce Now as a service available to all users. After beta years, Nvidia GeForce is now revealed as a Cloud Gaming platform, for the first time, providing free access to its platform. From there, subscribers can select specific privileges, giving them first access to a computer configured to donate experience with Ray Tracing activated. It is also clear to know the functionality of these anonymous machines. Now, we find that they're critique to work received by machines used by Nvidia GeForce Now, allowing you to get an idea of ​​what features it uses.

In recent days when details have been provided regarding CPUs used by Nvidia. With Intel CPUs discarded by the general public for exposing some error. But this does not mean that they cannot be used, because they are CPUs that cannot be sold within a range of non-compliant specifications. Nvidia has done with those Intel CC150 units, 8-core and 16-wire processors. From wccftech, analyze the performance achieved by the machines used by Nvidia GeForce Now, after having gained more experience with the bench.

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With this information, you can know that Nvidia GeForce Now uses hypervisor, Xen HVM, in which a group of two processors is simulated 4 cores and 8 threads. This translates the CC150 split into two phases, meaning users will use one of these scenarios to play, that is, users can play games on a processor. 4 cores at 3.5Ghz. In addition, the CPU is paired with 14.3GB of FPM RAM, the equivalent of having 16GB installed for subsequent use of the app.

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This may not be enough to run the games, considering that one of the options offered is Cloud Gaming servers are key. That is, to be able to optimize resources according to the need. Currently, this may be enough, staying the key to GPU information. This is where we saw the difference between the subscribers and the free ones.

A scan of the graphics card configuration in Ashes of the Singularity reveals the use of a GeForce RTX T10-8, for that CC150 CPU, only 4 cores are used. In fact, you can look at the performance found in the internal performance tests that make the game at 1080p and the quality of Madness.

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That was already known Nvidia would use this GPU, T10-8, which is equivalent to Turing TU102, which was thought to be the one that would work to introduce the RTX 2080Ti Super. Finally, the GPU is the one that provides the GeForce Now utility, where you'll have to wait for other types of performance tests, as well as comparisons, to be able to draw conclusions from their similarities with the current GeForce RTX list.

However, we must remember that this type of services must be tailored to the needs of the game. In the meantime, far from making promises of 4K games, Nvidia GeForce Now He has also focused on revealing its beauty and functionality and the power of Ray Tracing. It offers a service far and away, nothing to do with Google Stadia, because it plays games you have in the library and is compatible with the service. The scale will allow you to use a different configuration for each game, in which case you need to play Cuphead, or Destiny, it will be different.

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Did Nvidia take the Cloud Gaming reference with GeForce Now?

We've seen how riding a team for $ 300 you can get to play similar games Metroodus with Ray Tracing without any problems. Even GeForce Now is a platform that lets you enjoy games on Android mobile devices. Being the first steps that this platform takes, we can only wait for performance testing, comparisons and then proceed with care Nvidia's plan for the future of this new Cloud Gaming approach.



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