I think it’s likely you would have access to all of it because the testing in the article clearly shows the kernel can see the memory. Thus, the graphene kernel should be able to use it.
It’s not about a single app, it’s about multitasking without having to reload apps.
At various times I’ve juggled between 4 apps at once on my phone. Say something like Messaging, Firefox, maybe a lemmy app, and Bitwarden for logging into something.
Seriously, what app is capable of saturating 13GB?
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What if we use graphene OS I would guess that RAM would not be longer use and you can use the full 16GB.
I think it’s likely you would have access to all of it because the testing in the article clearly shows the kernel can see the memory. Thus, the graphene kernel should be able to use it.
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It’s not about a single app, it’s about multitasking without having to reload apps.
At various times I’ve juggled between 4 apps at once on my phone. Say something like Messaging, Firefox, maybe a lemmy app, and Bitwarden for logging into something.
At that point I go to my PC.
Adding to what others said it is beneficial to load an app from RAM.
I think it’s more to do with app switching without having to reload or losing your state in minimized apps.
If this is enabled by default it’ll certainly be needed, especially in cases like multitasking.
https://android-developers.googleblog.com/2024/08/adding-16-kb-page-size-to-android.html?m=1
From the linked article. So I doubt that the larger page size is the (only) reason for 16G ram. AI is the more likely reason.
Ooh I understand that it’s for AI, I just meant that more RAM would certainly help in this case.
Ollama server running in termux