The irishealth-ml-community container consumes all memory available
Hi community members!
I'm trying to deploy a container based on IRIS Community for Health ML image available from this url but when I start the container the memory consumption skyrockets to 99% making impossible to work with the instance (it never goes below the 95% of the memory). When I do the same with the IRIS Community for Health image it never goes over 80% of memory.
Is this a known problem? Should I try another version? Maybe have I just to sit down in a corner and cry like a baby?
Comments
I ran a quick test, Luis, on my Windows 10 laptop with 32GB of memory. Memory usage peaked at about 25GB and settled down to about 20GB. When I deleted the container and stopped Docker, memory went down to about 10GB used.
I did not see obvious memory exhaustion in what is an informal test. I don't have a good sense of what "good" memory usage should be like on this image. If this is causing you trouble, reach out to WRC and they can get you more help.
win docker desktop not just consumes fast-growing vhdx
but also a lot of temp files, that get never deleted or shrinked
not even with deinstall / reinstall
typically in
C:\Users\<usename>\AppData\Local\Temp\docker-scout\sha256
C:\Users\<username>\.docker\scout\sbom\sha256
C:\Users\<username>\AppData\Local\Temp\ *.ico, *.vhdx