Apple appears to have prematurely revealed the name of its rumored lower-cost MacBook model, which is expected to be announced this Wednesday. A regulatory document for a “MacBook Neo” (Model A3404) has appeared on Apple’s website. Unfortunately, there are no further details or images available yet. While the PDF file does not contain the “MacBook Neo” name, it briefly appeared in a link on Apple’s regulatory website for EU compliance purposes.
Unified memory, so more efficient with that. Also MacOS has RAM compression.
I suppose more is better, and 8GB seems like bare minimum for something useful. But one should always mind that now (unlike before 2020) Apple’s hardware has caught up with their advertising in the fact that it’s really specifically optimized for the job.
It’s fine for an “Apple Chromebook” I think, especially if bulk orders for institutions will get different deals.
LMAO you actually bought into that 8GB = 16GB marketing nonsense
No, that’s you happily laughing at the nonsense you yourself said attributing that to me.
I said that RAM compression in MacOS is an OS feature, well-tested and always on. You can play with something similar under Linux and find out it really makes things better. Which means you can fit more there. Like 10%-20% more is notable enough.
And I said that unified memory is a feature of their hardware, which is correct. Which is the reason Intel and AMD were playing with that X86-S idea (a new architecture with much of legacy removed, and also, yes, unified memory), until they dropped it because Intel is going to shit.
I don’t see any marketing nonsense in technical facts. Your GPU can use all the same RAM with less expense for doing that. And RAM allocated to applications does get compressed, which is more CPU-intensive obviously, but happens.
These are obviously correct.
Not who replied to you originally but,
You aren’t wrong (you even stated that more is probably better) , just not necessarily presenting the whole picture.
Ram compression isn’t a benefit only scenario, there is a cost in processing power to make that happen.
So it’s a trade off of memory utilisation vs processing requirements.
Whether or not it’s worth it is down to circumstance, though i agree that generally i think it’s worth the tradeoff.
Unified memory is useful in specific circumstances, most notably LLM/ML scenarios where high vram utilisation is part of the process.
It’s not an apples to apples comparison by any means.