• svey@lemm.ee
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    1 year ago

    I setup a k8s rpi cluster for this reason, and now I just have 4 overloaded pis 🙃

    • HandwavyHeisenberg@feddit.de
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      1 year ago

      I found that for my use case (jellyfin, gitea, portainer, nextcloud, adguard, …) the pis are still nearly idle but the bottleneck for me was ram. Anyone with similar experience?

  • JurassicPork@lemmy.one
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    1 year ago

    I see myself in this picture, and I don’t like it 😂😂😂 that’s why I’m running 2 pi’s 😁 photoprism, pihole, pivpn, unbound, portainer, and multiple HDD setup with cron jobs as a nas, and another pi with heimdal, pihole, pivpn. Unify controller, NUT server… Prob forgetting some lpl, Looking to add a lot more docker containers… So ya… This meme got me in the feels lol

        • BCsven@lemmy.ca
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          1 year ago

          I think they mean the power consumption. Single board pis and such sip power. Desktops are usually drawing too much at idle to leave running like a pi. i mean you can if you have cash to do that

          • randombullet@feddit.de
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            1 year ago

            To save money, they can go the derelict laptop route.

            If they get a low tdp board, maybe like an old laptop without a battery, the power difference isn’t going to be too much. Pi can pull 9W at full tilt. And an old Ultrabook with it’s monitor tuned off or unplugged can probably pull 35-45W at full tilt.

            So 45W - 9W = 36W

            36w x 24hr x 356 = 315,360Wh

            315.36kWh x 0.25 cents = 78.84 a year

            But that’s assuming everything is running at full speed. For something running 24/7, we can probably estimate idle state is more common. Laptops can idle about 3-4W a pi4 is also idle around 3-4W.

            So 90% at 4W and 10% at 45W for the laptop

            And 90% at 4W and 10% at 9W for the pi

            Gives us 8.1W average for the laptop

            And 4.5W for the pi

            Giving us a total difference of 31.536kWh. or 7.88 additional a year.

            This is also assuming the laptop has the same computational power as the pi, which isn’t true, so the laptop will end up finishing tasks faster than the pi and use more power for a shorter amount of time.

  • jubilationtcornpone@sh.itjust.works
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    1 year ago

    I’ve got an old PowerEdge tower server sitting in my basement that I picked up for $300 on eBay. Dual 6-core Xeons. It’s running probably 7 Ubuntu VM’s in Hyper-V and not even breaking a sweat. Still need to get the GPU passthrough for Jellyfin configured though.

  • Johanno@feddit.de
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    1 year ago

    This is why I bought myself a server (consumer pc with 40TB) that does all that for only 1000€