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About m0ngr31

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  1. I have a share that I have all of my development work in that lives on my cache drive. One of the projects is a Node program that is compiled with webpack. I noticed that when I try to run this via docker vs VM, the results are quite different... I setup some different use cases to figure out what is going on. My docker container and VM are both running Ubuntu 18.04 Docker Container: Project running from share passed in as a volume: Takes ~160-180 seconds to finish running. Project running from local docker fs: Takes ~50 seconds to finish running VM: Project running directory mounted from NFS share: Takes ~90-100 seconds to finish running Project running from local VM ssd (unassigned device): Takes ~70-80 seconds to finish running I would have imagined that the docker volume would be faster than consuming the share from NFS, but maybe I'm doing something wrong? Has anyone else noticed how a discrepancy this bad?
  2. There are a number of things you can try for code 43, but give this a try:
  3. Helping a friend get Unraid working, but there is an issue where I can't get access to his box over HTTPS, only HTTP. Locally or over WAN. I tried deleting the SSL folder and it creates new ones, but doesn't accept connections. I've tried changing the SSL port too, but that doesn't change it at all.
  4. Is there anything we can do to help get this working with 6.8.*?
  5. Those lines won't work in 6.8 since it uses the newer version of QEMU
  6. After a reboot Plex will transcode, but nvidia-smi still shows the card as powered down(??) and the nvidia settings page still doesn't show it.
  7. I have the same card and have never been able to get it working:
  8. My Quadro stopped showing up in the plugin settings page a few weeks back, and yesterday Plex and Jellyfin both wouldn't launch after updates. I tried re-installing the plugin but it has the same issue... nvidia-smi sees the card there (The 1070 is isolated for a VM, and I don't think the settings page ever saw it before). Is my card dead or something?? gunhaver-diagnostics-20191028-2021.zip
  9. That much RAM might cause an issue with hugepages. Could also be NUMA issues.
  10. You were able to do this without numad?
  11. I only have 80GB in my box, so I don't have the same issues. I was more curious about the changes they made for Linus after I saw the video. And maybe if it'd speed anything up on mine.
  12. This docker has been incredible. The only problem I have is that I'm not pinning any cpu cores to it so it shares with my other dockers. I have the --cpu-shares=2 flag passed in, but constantly my Plex and Pihole dockers will just struggle to work so I am having issues with that. My current solution has been to stop using Pihole and I have unmanic shutoff everyday at 3PM and start up again at 1AM. This isn't ideal since I'm losing encoding hours... Is there something else I could do? Maybe cpu pinning would be my best option? I just lose cores that way.
  13. Is this not available anymore?