You are viewing a single thread.
View all comments View context
10 points

Serious question what are you using all that RAM for? I am having a hard time justifying upgrading one of my laptops to 32 GiB, nevermind 64 GiB.

permalink
report
parent
reply
8 points
*

For me in particular I’m a software developer who works on developer tools, so I have a lot of tests running in VMs so I can test on different operating systems. I just finished running a test suite that used up over 50 gigs of RAM for a dozen VMs.

permalink
report
parent
reply
5 points

Same, 48c/96t with 192gb ram.

make -j is fun, htop triggers epilepsy.

Few vms, but tons of Lxc containers, it’s like having 1 machine that runs 20 systems in parallel and really fast.

Have containers for dev, for browsing, for wine, the dream finally made manifest.

permalink
report
parent
reply
5 points

If games, modding uses a lot. It can go to the point of needing more than 32gb, but rarely so.

Usually, you’d want 64gb or more for things like video editing, 3d modeling, running simulations, LLMs, or virtual machines.

permalink
report
parent
reply
1 point

I use Virtual Machines and run local LLMs. LLMs need VRAM rather than CPU RAM. You shouldn’t be doing it on a laptop without a serious NPU or GPU, if at all. I don’t know if I will be using VMs heavily on this machine or not, but that would be a good reason to have more RAM. Even so 32 GiB should be enough for a few VMs running concurrently.

permalink
report
parent
reply
1 point

and run local LLMs.

Honestly, I think that for many people, if they’re using a laptop or phone, doing LLM stuff remotely makes way more sense. It’s just too power-intensive to do a lot of that on battery. That doesn’t mean not-controlling the hardware – I keep a machine with a beefy GPU connected to the network, can use it remotely. But something like Stable Diffusion normally requires only pretty limited bandwidth to use remotely.

If people really need to do a bunch of local LLM work, like they have a hefty source of power but lack connectivity, or maybe they’re running some kind of software that needs to move a lot of data back and forth to the LLM hardware, I think I might consider lugging around a small headless LLM box with a beefy GPU and a laptop, plug the LLM box into the laptop via Ethernet or whatnot, and do the LLM stuff on the headless box. Laptops are just not a fantastic form factor for heavy crunching; they’ve got limited ability to dissipate heat and tight space constraints to work with.

permalink
report
parent
reply
1 point
*

That’s fair. I’ve put it there as more of a possible use case rather than something you should be consistently doing.

Although iGPU can perform quite well when given a lot of RAM, afaik.

permalink
report
parent
reply
4 points

Photo Editing, Video Transcoding.

permalink
report
parent
reply
1 point

k8s

permalink
report
parent
reply
1 point
*

Any memory that’s going unused by apps is going to be used by the OS for caching disk contents. That’s not as significant with SSD as with rotational drives, but it’s still providing a benefit, albeit one with diminishing returns as the size of the cache increases.

That being said, if this is a laptop and if you shut down or hibernate your laptop on a regular basis, then you’re going to be flushing the memory cache all the time, and it may buy you less.

IIRC, Apple’s default mode of operation on their laptops these days is to just have them sleep, not hibernate, so a Mac user would probably benefit from that cache.

permalink
report
parent
reply
1 point

Outside of storage servers and ZFS no one is buying RAM specifically to use it as disk cache. You will also find that Windows laptops are also designed to be left in sleep rather than hibernate.

permalink
report
parent
reply

Technology

!technology@lemmy.world

Create post

This is a most excellent place for technology news and articles.


Our Rules


  1. Follow the lemmy.world rules.
  2. Only tech related content.
  3. Be excellent to each another!
  4. Mod approved content bots can post up to 10 articles per day.
  5. Threads asking for personal tech support may be deleted.
  6. Politics threads may be removed.
  7. No memes allowed as posts, OK to post as comments.
  8. Only approved bots from the list below, to ask if your bot can be added please contact us.
  9. Check for duplicates before posting, duplicates may be removed

Approved Bots


Community stats

  • 14K

    Monthly active users

  • 6.8K

    Posts

  • 155K

    Comments