Google intends to virtualize Windows applications through Parallels in ChromeOS, something that will require much more powerful devices than current ones and under a service that will not be exactly cheap.
Currently the Chromebook They have gained in importance in the market thanks to their compatibility with the Android application store, but they are still quite far in terms of the huge number of applications compatible with other systems such as Windows 10.
It has been known for a long time that Google was working so that Chromebooks could support the main applications that exist in Windows, and although ChromeOS offers support for Android and Linux applications, the same does not happen with those of Windows, at least for the moment.
In an interview with TheVerge, Cyrus Mistry, product manager for ChromeOS, has released who are working expressly with Parallels to bring Windows application support to Chromebooks using virtualization software, something that requires a large expenditure of resources and greater consumption. In this way, those of Mountain View would be looking for a similar support at the Parallels level in macOS, allowing in this way to run applications independently under a virtualization layer.
The user community has been asking Google to bet on dual boot thus giving the consumer the option of hosting both ChromeOS and Windows 10 on a single machine and choosing which one to start at startup. However, Google points out that they will not bet on that case since security, one of the bastions of Chromebooks, is questioned.
In this way, it seems that ChromeOS will use Parallels Desktop, which is a system that will virtualize apps within an existing operating system. For this to be possible, the user should invest a significant financial sum to obtain the relevant licenses, but also to acquire a more powerful Chromebook.
This will cause this virtualization function to be focused on the professional segment, where the user can invest a greater economic sum in acquiring a Chromebook and at the same time learn the ins and outs of Parallels to be able to embrace said application virtualization.