The idea of GWE gives you more control over your GPU, such as overclocking, as in the newer hybrid GPUs, at least some features are locked, such as overclocking, as we can see in the image below.
|GWE on hybrid GPUs with locked functions
It is a very simple application distributed via Flatpak, so any Linux distro that supports this type of package has access to it and can run without major problems. If your distro doesn't have Flatpak support, check out this article we did, showing how to enable it step by step.
Once Flatpak is enabled on your Linux, installing GWE is very simple and can be done in two ways. One via terminal and another via app store.
To install via terminal, which is the first way we will demonstrate, you need to follow these steps:
1 – Open the terminal with the key combination Ctrl + Alt + T or by searching for terminal in the System Menu:
2 – Type or COLE this command in the terminal:
flatpak install flathub com.leinardi.gwe
3 – To run simple too, you run it via terminal with this command:
flatpak run com.leinardi.gwe
Or then search your menu for GWE. With that he open.
J to install via App Store an even simpler task. If you already have Flatpak and Flathub enabled, it will appear in it, either named GreenWithEnvy or the abbreviation GWE, if you use Linux Mint, the Flatpak repository is already active, so just browse and install on Ubuntu. , GWE will only be found after support is enabled.
|GWE at Mint's Store
If not, no problem, as you can download the Flathub l file and install it via the Store. To download the file and install it, you must do the following:
1 – Access the GWE page on flathub and click on Install;
2 – Save the GWE file in the Downloads folder or where you find it best to find it faster later,
3 – Double click on the file you just downloaded, thus opening via the app store. Now just click install.
|Original Project Image
Some features of GWE:
– Show general information of GPU;
– Show energy information;
-Show information of clocks;
-Show GPU temperature on application indicator;
-Show information from GPU fans;
– Hide the application window;
– Have historical data collected from GPU, such as GPU clock, VRAM clock, GPU temperature and so on.
The app turned out to be quite interesting, but it still has some features that the developer wants to implement, such as multi-GPU support for example. If you want to see all implementations that will still be added, check out the project's GitLab.
Hope to see you next post, big hug.