I got 32 additional GB of ram at a low, low cost from someone. What can I actually do with it?

        • grue@lemmy.world
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          22 days ago

          In my case, it’s less about being able to open more Firefox tabs and more about Firefox being able to go longer between crashes due to a memory leak. (I know, I know… Firefox doesn’t have memory leaks anymore. It’s probably due to an extension or some bad JavaScript in one of my perpetually-open sites or something. One of these days I’ll get around to troubleshooting it…)

      • Onno (VK6FLAB)@lemmy.radio
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        22 days ago

        I realise that you are making a joke, but here’s what I used it for:

        • Debian VM as my main desktop
        • Debian VN as my main Docker host
        • Windows VM for a historical application
        • Debian VM for signal processing
        • Debian VM for a CNC

        At times only the first two or three were running. I had dozens of purpose built VM directories for clients, different hardware emulation, version testing, video conferencing, immutable testing, data analysis, etc.

        My hardware failed in June last year. I didn’t lose any data, but the hardware has proven hard to replace. Mind you, it worked great for a decade, so, swings and roundabouts.

        I’m currently investigating, evaluating and costing running all of this in AWS. Whilst it’s technically feasible, I’m not yet convinced of actual suitability.

          • Onno (VK6FLAB)@lemmy.radio
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            22 days ago

            In my case, I’m not a fan of running unknown code on the host. Docker and LXC are ways of running a process in a virtual security sandbox. If the process escapes the sandbox, they’re in your host.

            If they escape inside a VM, that’s another layer they have to penetrate to get to the host.

            It’s not perfect by any stretch of the imagination, but it’s better than a hole in the head.

  • vividspecter@lemm.ee
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    22 days ago
    • Compressed swap (zram)

    • Compiling large C++ programs with many threads

    • Virtual machines

    • Video encoding

    • Many Firefox tabs

    • Games

  • zkfcfbzr@lemmy.world
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    22 days ago

    I have 16 GB of RAM and recently tried running local LLM models. Turns out my RAM is a bigger limiting factor than my GPU.

    And, yeah, docker’s always taking up 3-4 GB.

  • Jesus_666@lemmy.world
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    22 days ago

    Run a fairly large LLM on your CPU so you can get the finest of questionable problem solving at a speed fast enough to be workable but slow enough to be highly annoying.

    This has the added benefit of filling dozens of gigabytes of storage that you probably didn’t know what to do with anyway.

  • spicy pancake@lemmy.zip
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    22 days ago

    Fold At Home!

    https://foldingathome.org/

    You can essentially donate your processing power to various science projects that need it to compute protein folding simulations. I used to run it whenever I wasn’t actively using my PC. This does cost electricity and increase rate of wear and tear on the device, as with any sustained high computational load. But it’s cool! :]

  • fuckwit_mcbumcrumble@lemmy.dbzer0.com
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    22 days ago

    700 Chrome tabs, a very bloated IDE, an Android emulator, a VM, another Android emulator, a bunch of node.js processes (and their accompanying chrome processes)

  • lordnikon@lemmy.world
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    22 days ago

    If you are on Linux and I guess windows but nor sure. You already use it for cache. So you can never have enough ram. As long as it’s the same speed of your existing ram or you will screw yourself in preformence.