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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 i
by thomastjeffery 3y ago
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?
- Leimi 3y agoI 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.
- Nullabillity 3y agoI 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 3y agoWith a little setup it's no more effort than logging in. Less, even.
- pacifika 3y agoMuscle memory closing apps by keyboard shortcut means the remote session is closed. Also multi monitor support is not as good in my experience
- thomastjeffery 3y ago> Also multi monitor support is not as good in my experience Are we still talking about a laptop?
- RulerOf 3y ago16 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.
- sireat 3y agoI 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 3y agoI have no clue what you are talking about when you say "dataframe".