[thomastjeffery]

I can't imagine actually using 64GB of RAM on a laptop.

How many concurrent VMs would I ever want to run anyway?

If I ever go over 16GB, and actually notice it swapping on an NVMe drive... why not just remote to a real workstation?

[Nullabillity]

I can't imagine living with a workflow that regularly requires me to remote into servers to get shit done. Life is miserable enough as it is.

[thomastjeffery]

  With a little setup it's no more effort than logging in. Less, even.

[pacifika]

Muscle memory closing apps by keyboard shortcut means the remote session is closed. Also multi monitor support is not as good in my experience

[thomastjeffery]

> Also multi monitor support is not as good in my experience

Are we still talking about a laptop?

[Leimi]

I guess we use our machines in different ways :)

And I have a few use cases where 32 Gb is limiting. So I don't want to buy a brand new machine stuck at something that is, sometimes, already not ideal. And well, the usual next step is 64 Gb.

[sireat]

I routinely use 64GB on one of my laptops.

Load a "largish" dataframe you will wish for even more RAM.

Even on smallish dataframes with say 20-30GB usage it can be convenient to have a copy near by.

[thomastjeffery]

I have no clue what you are talking about when you say "dataframe".

[RulerOf]

16 gigs for the Docker VM

24 for chrome

8 for electron

10 for OS caching

4 for shared video memory

...and 2 that sit unused to let you know that you don't need any more to get the job done.