Impressive results for gamers using Nvidia eGPUs on macOS

GPU in macOS High Sierra

Gamers using macOS can be happy, if the Nvidia eGPU performance for MacBook Pros with macOS High Sierra. The results are reported to us by both developers and researchers who are in the community eGPU.io. We can find what is the behavior of eGPUs on Mac, but also on Windows and other platforms.

It is not a definitive version, since we are conducting tests with the betas, but these tests show that the results are more than promising. We will see the final results when Apple allows support for Nvidia eGPU graphics. We will also see in the following versions how they debug the first errors that appear.

We highlight two very relevant points. First of all, the usability. In the latest versions, we only had to connect the graphics to the Mac, without having to restart the computer, not even the session. And the second, the performance offered. 

On the other hand, everything seems to indicate that not only users with Thunderbolt 3 can enjoy this feature. Possibilities are enabled for Thunderbold 2, thus allowing more users to benefit from this improved graphics.

The ability to use external graphics or eGPU is available since macOS 10.13.4, but not support for Nvidia graphics. Now we have the possibility to use these graphs in the current version, thanks to the unofficial eGPU.io solution. The solution provided is simple, you just have to run a terminal command. 

However, this solution is in alpha phase and errors and technical problems have been detected. For security, the developer warns us that this action could cause problems on the Mac. If you jump into it, remember to make a previous backup. The returns compared to different graphs are as follows:

The first graphics are the ones used in the MacBook Pro and the rest are different external Intel eGPUs. The performance couldn't be more spectacular.

Finally, once you finish using it, disconnecting the graph from the Mac is as simple as accessing the icon in the menu bar and pressing disconnect.


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