Machine learning failing second instance
I have a second instance that handles additional machine learning jobs and I added the ip to the api instance but I keep getting these random WARNing logs
The second instance ip is http://192.168.1.226:3003 and when I visit that URL I get
and these are my machine learning container settings

16 Replies
:wave: Hey @Tani,
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Successfully submitted, a tag has been added to inform contributors. :white_check_mark:Have you made sure that the ML container is up to date on the remote machine? I would docker down, prune, and bring it back up to just verify
Yeah I am on the latest version v1.131.3, but did the prune just in case and still the same thing
Also I wanted to note that it doesn't occur always, some times it works fine and the other times it doesn't.
Worker (pid:121) was sent SIGKILL! Perhaps out of memory?How much memory is there? Does it really or does it spike to 6 and then immediately die? π
Also if you try without openvino, does it work?
There is 6gib of memory, but it looks like it never reaches that

I can't tell because the time is different π
are you looking at average or peak
I am looking at peak(maximum) and same thing happens without openvino
Is this VM or LXC?
this is LXC and I don't thing memory is an issue, since it happens even when I assign 30GB to it
I understand you probably need a LXC for the pass through but thatβs most likely related to the issue here.
So you saying that the issue is that I am using an LXC container instead of a VM?
It may be, we don't know for sure. They have some quirks that make investigating troublesome and unrewarding, that's why we advocate VMs
Hi, sorry to hijack here, but i created my first ever post on here at it's not getting commented on at all, so was wondering i you could check if I did something wrong, thanks
https://discord.com/channels/979116623879368755/1049703391762321418/threads/1361678076764881139