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gameswithgo | 3 years ago

What workload do you do that 16GB isn't enough? Compiling large database backed .NET projects and Rust projects and AAA gaming all fit fine in 16GB

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rxhernandez|3 years ago

I regularly see my thinkpad exceed 20 GB with vscode, YouTube music, and docker hosting a frontend, backend, and simulated load.

I've been sitting at 27 GB for the past two days with PyCharm open as well.

83457|3 years ago

They are using as much memory as they can because it is available. Chrome is notorious for this. That is not a valid gauge for how much memory is necessary or even useful.

czx4f4bd|3 years ago

I'm using 18GB on Pop_OS right now and often use more. The main contributors are browser tabs and VS Code. If I closed out the projects I'm not actively working on right now and hunted down anything hogging RAM, I could get back under 16GB, but the nice thing about having 32GB is I almost never have to do that.

easrng|3 years ago

I'm pretty sure browsers automatically expand their in-memory cache to fill the available space, things would probably work with less.

alluro2|3 years ago

My dev workflows on Manjaro with KDE typically required ~18GB RAM (VSC, nodejs, rust, elixir, mongodb, redis, docker, db mgmt tool, browser, mail client, Slack, etc).

On MacOS (switched to 2021 MBP 14) basically identical setup is sitting on ~29GB.

I think my example is extremely average and common.

7speter|3 years ago

Looking at docs in a browser

d4a|3 years ago

Virtualization is one that I frequently do. Running a VM to test out programs (especially to test out Windows compat, or macOS if you're feeling up to the challenge). 16GB can barely run an additional VM, and if you have 30-40 FF tabs open, an IDE, and so on, then running with just 16GB of memory becomes very restrictive. Allocating 8GB to the (one) VM would leave you with 8 for the host OS, of which 2GB is going to be used by the kernel/WM, and leaves only 6GB to develop with.

dataflow|3 years ago

> What workload do you do that 16GB isn't enough?

Run a C++ IDE on a medium-large codebase and you can very quickly run out of RAM.