Windows 10: Vmmem running at full ram and disk usage.

Hello !

I have WSL2 Important thing on windows 1909 build 18363.1316, and when I dont open WSL in any terminal Vmmem Wich is the process for sandbox windows service, obligatory for WSL2 and w/the new linux kernel runs a 1.8/8G of ram and eats up 13mb/s on disk usage, and sometimes my pc is just usuable because of that ? Even with WSL process just killed ? How.


Specs of my PC :

CPU : I7-8550@4.0Ghz

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GPU 0 : Intel UHD Graphics 720

GPU 1 :Nvidia MX130

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Disk : Toshiba Hard Drive @ 5400rpm/s

RAM : 8G@2400mhz

:)

 

Vmmem CPU and memory usage are very high

Hey there!

Thanks for response. In short - what you are observing - Linux machine that you run with WSL2 runs in context of VMMem process - so if you run VSCode from within Ubuntu - there is no "code.exe" process but it's in context of "vmmem.exe" process - you started
"code" process inside WSL2 - Linux Virtual Machine, which is hosted by vmmem process - the more you run with WSL2, the more VMMem process will consume resources. Are you able to see this correlation? What happens with usage after you close VSCode?

Thanks!

Alex P.

 

vmmem processes what's is?

If you are still seeing an instance of of vmmem running, then we need to examine the startup programs. I should be able to ascertain that from the msinfo32 report. As for 30-40% RAM usage, I would say that is normal for average number of background and
foreground processes combined. For the most part, WIndows memory management tries to take advantage of all available RAM, even if it doesn't overtly benefit the system. The saying goes: "Unused RAM is wasted RAM".

 

Unknown Constant RAM Usage

Hi,

To explore more on RAM usage by processes and see in-depth I advise you to open the Resource monitor, please follow the below steps.

Step 1 :

Open Task Manager

Step 2:

Click on Performance

Step 3:

At the bottom click on Open Resource Monitor

Step 4:

Under Resource Monitor windows click on Memory

Step 5:

Click on Working Set to list the top process utilizing the more RAM and then evaluate RAM usage.

Regards

Shuaib

Independent Advisor