ninbura commented Mar 22, 2024 Here is my completely subjective individual viewpoint remark, people who still Believe WSL2 has RAM consuming bug, make sure it is actually a bug, not just consumer mistake/talent situation ☮️
In almost any case, you’ll must look for no cost memory slots and you should definitely acquire RAM appropriate together with your method. You can confer with your Computer maker’s documentation or look for on the internet.
mslinn commented Jun 7, 2024 IMO, working with Docker to run anything provides complexity and overhead without the need of commensurate advantage. I wrote an report describing how I operate Ollama on WSL2.
Autonomous capabilities – In Level three+ autonomous mode, the auto retracts the steering wheel to offer extra Room for the motive force. Interior lights, the AR HUD, smarts seats and the steering wheel function together to provide upcoming-level situational consciousness to the motive force
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I even have 32GB ram in desktop and gave 16GB in .wslconfig. I can not don't forget experiencing a mistake with 32GB comprehensive ram. Looking at your task supervisor screenshot expressing Over-all memory use is 50% I might its extremely okey, why be concerned?
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Out of the blue your .vhdx distro Digital disk will take in your space if you work with huge documents, python atmosphere Which wont at any time be reclaimed again. You'll be able to make an effort to compress the .vhdx with DISKPART googling some tutorials, or test another .wslconfig:
moracabanas commented May 9, 2024 After a long time of pursuing this thread I arrived to the conclusion that the challenge was ME endeavoring to use Docker on Home windows, it simply is just not functional, it has currently been explained that WSL2 is behaving mainly because it should. For MY Requirements, I was merely capable to work far better employing Linux in dualboot, the place Docker functions properly for ME, with no leaving my Laptop devoid of methods to perform other pursuits, for example debugging in my IDE precisely what is functioning in Docker.
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Ordinarily, When you've got extra apps running on the procedure, extra memory might be eaten. Remember some apps, when released, triggers a number of processes – and every https://releaseram.com/ of those processes usually takes up memory.
craigloewen-msft commented Apr 24, 2024 @moracabanas Any time you experienced autoMemoryReclaim=dropCache turned on, did you find it wasn't dropping cache? Even Whenever your device was idle therefore you were being utilizing it?