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A leak on Cloud PC reveals new technical characteristics about Microsoft's remote desktop service



Last July we told you about the first news about Microsoft's plans to launch next spring a virtualization service that allows users to use PCs as thin clients connected to virtualized software in the Azure cloud.



After that, little else we have heard of said service, provisionally baptized as 'Project Deschutes' and that will be released as Microsoft Cloud PC.



It will have three modalities according to its computing power



At least until today: when a Twitter user famous for previous leaks linked to Microsoft, WalkingCat, has made public subdomains linked to Cloud PC: cloudpc.microsoft.com Y deschutes.microsoft.com.



When trying to access them, the website will ask us for the login details of a corporate Microsoft account (company or academic institution), not being able to log in with personal accounts. But, even in that case, we will only see a message in English:




Screenshot 5




"Setting up your workspace. Check back later to see your assigned workspaces."








The inevitable happened: the use of Linux has surpassed that of Windows in Azure, Microsoft's cloud





But WalkingCat has revealed more. In the first place, screenshots of a functional version of the websites in question, in which we can see the aforementioned workspaces already active and their technical characteristics, and verify that connecting to them will require the download and installation of Microsoft Remote Desktop.




Finally, it has also made a link to a JSON file in which we can view the data of the subscription modalities that Cloud PC will offer depending on the power of the contracted virtual machine:



  • Medium: 2 vCPU, 4GB of RAM, 96GB of SSD hard drive. "General purpose, optimized based on cost and flexibility."


  • Heavy: 2 vCPU, 4GB of RAM, 96GB of SSD hard drive. "For advanced computing needs, optimized for performance and speed."


  • Advanced Plan: 3 vCPU, 8GB of RAM, 40GB of SSD hard drive. "Graphics acceleration, optimized to provide data processing and scalability."





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