8GB RAM on M3 MacBook Pro 'Analogous to 16GB' on PCs, Claims Apple
8GB RAM on M3 MacBook Pro 'Analogous to 16GB' on PCs, Claims Apple
Following the unveiling of new MacBook Pro models last week, Apple surprised some with the introduction of a base 14-inch MacBook Pro with M3 chip,...
8GB RAM on M3 MacBook Pro 'Analogous to 16GB' on PCs, Claims Apple::Following the unveiling of new MacBook Pro models last week, Apple surprised some with the introduction of a base 14-inch MacBook Pro with M3 chip,...
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Lol no. My poor linux kernel barely keeps everything stable in 8GB and even then by shoving stuff into swapon zram.
I can just barely run a game and have a ton of FF tabs open + an IDE + discord + multiple desktops
WIndows basically dies once you hit the swap, and it usually starts at like 2GB used.
I'm assuming MacOS lies between Linux and Windows in memory management and performance, so it'll definitely start lagging if you open too much.
And this is all ignoring the fact that this is a scam statement that should be struck down by the FTC. You can't call an 8 gallon gas tank equivalent to a 16 gallon gas tank even if your car has better MPG. In that case you advertise the MPG. And in Apple's case, it would be something like "X% less RAM usage per system process" which we all know doesn't actually exist because its snake ass Apple.
And this is all ignoring the fact that this is a scam statement that should be struck down by the FTC. You can't call an 8 gallon gas tank equivalent to a 16 gallon gas tank even if your car has better MPG.
lol good luck when Tesla literally charges $12k for “full self driving” software that does not do what’s advertised nor do what was promised over the last 10 years the CEO has been selling it. FTC and other orgs are toothless when it comes to false advertising, they’ll do nothing.
What helps these machines are built-in SSDs that operate at about 2 GB/s. If swapping out 2 GB of background tabs you're not looking at when you switch to your IDE takes a second, you're not really going to notice it. Only if you're actually trying to operate with all the memory at the same time (big Kubernetes test suites or something) is when the swapping becomes noticeable.