The irishealth-ml-community container consumes all memory available

Question

Question

Luis Angel Pére... · Jun 19, 2023

#Containerization #Docker #Machine Learning (ML) #InterSystems IRIS for Health

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?

Discussion (2)3

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Robert Cemper · Jun 26, 2023

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

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score 1 · Answer 1 · 2023-06-26T15:54:49-04:00

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.