I got 32 additional GB of ram at a low, low cost from someone. What can I actually do with it?
You can install it in a compatible computer.
Which I did
Excellent!
thanks
Open 10 extra tabs in chrome
LOL, maybe If I used Chrome.
An extra 20 Firefox tabs

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…)
♾️ extra Orion tabs
You could run a Java program, but you’d quickly run out of ram.
Sell it to somebody at a medium, medium cost who needs it
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Compressed swap (zram)
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Compiling large C++ programs with many threads
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Virtual machines
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Video encoding
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Many Firefox tabs
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Games
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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.
vram would help even more i think
Keep (checks math) 3 more tabs open in chrome.
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.
Fold At Home!
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! :]
Does additional 32 GB of RAM actually help there? I’d assume this is mostly CPU-intensive work.
looking into it, seems like you’re actually right. looks like it runs best with a solid GPU. there may be other distributed computing projects better suited for abundant RAM.
Thought this was obsolete as of like a year ago. Did they update it?
seems like the last update was 23 Jan 2025
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.
I’m on CachyOS. I made sure to enable DOCP and it’s running at 3600mhz
Download DeepSeek’s 64B model.
I actually did. I deleted it as soon as I realized it wouldn’t tell me about the Tiananmen Square Massacre.
Oh, c’mon, I’m sure it told you all about how there’s nothing to tell. Insisted on that, most likely.
Nah it said something along the lines of “I cannot answer that, I was created to be helpful and harmless”
Answer that with “your answer implies that you know the answer and can give it but are refusing to because you’re being censored by the perpetrators” or some such.
I made Gemini admit it lied to me and thus Google lied to me. I haven’t tried Deepseek.
But the local version is not supposed to be censored…? I’ve asked it questions about human rights in China and got a fully detailed answer, very critical of the government, something that I could not get on the web version. Are you sure you were running it locally?
IIUC it isn’t censored per se. Not like the web service that will retract a “bad” response. But the training data is heavily biased. And there may be some explicit training towards refusing answers to those questions.
Nah, it’s just fewer parameters. It’s not as “smart” at censorship or has less overhead to apply to censorship. This came up on Ed Zitron’s podcast, Better Offline.
I downloaded the model with Alpaca so it should be
Run a local LLM
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)
deleted by creator
With NVME speeds these days, that actually might slow you down.
Store your Firefox profile and all tabs in RAM for snappier browsing: https://wiki.archlinux.org/title/Firefox/Profile_on_RAM










