It’s about time.
Good, 8 is unusable for my workloads and 12 feels like they’re just fucking with us
Welcome to 2010
I upgraded from 8GB to 16GB like 2 months ago.
Welcome to 2010 to you as well then!
Check out 9gag.com for funny pictures!
Or iFunny if you’re feelin’ saucy!
Whoa, that’s like 32GB of Windows RAM. Seems excessive to me tbh
Does it?
Previous benchmarks have shown the 8 GB models seriously fell behind in performance.
Yeah I think the joke just flew over your head.
Apple keeps saying that their RAM is somehow magic and therefore better than Windows RAM, which is a comment that obviously makes no sense.
I think they are able to share it with the GPU or something? It is maybe slightly better but it sure as fuck is not 2x better.
8 GB, even if it is “magic RAM,” is a joke amount and has been for a long time.
That’s just an APU, see consoles and laptops. The unified memory is basically just the above, but Apple also claims that due to Apple Silicon having the storage controller on board, the swap is magically faster 🤷
Also Mac OS/Linux use less RAM than Windows which certainly helps.
8GB is “fine™” on a MacBook Air, but it’s criminal for a Pro machine, and it certainly should not cost £200 for an extra 8GB. That’s genuinely insane pricing
That’s the real issue, isn’t it? The upgrade prices are disconnected from reality by a lot. If they were within the realm of sanity nobody would care much that the base is 8 GB.
I was saying this and my girlfriend when they first came out the whole thing is completely out of spec for everyone regardless of your use case.
She really only wants it for playing The Sims but you’ll run into RAM limitations there, and as you say it’s not worth paying so much more just to get a device that’s actually functional.
If you want to use it for basic word processing then you really don’t need that level of latency and you really don’t need a CPU of that level of performance. You’re just paying for stuff you’re never going to use.
If you want it for gaming there isn’t enough memory to make it worthwhile.
If you want it for intensive graphics editing work then there really isn’t enough memory for that to work.
If you want it for advanced computation then you’re probably not going for a laptop anyway. The M2 chip is obsessed with retaining battery life, which is fine in a laptop but if you want high performance applications you just want it to use more power.
It for some bizarre reason you wanted to do AI research on a laptop it’s not too bad but you’d still need the pro version and there are better things on the market but it wouldn’t be the worst I guess.
So outside of one very niche scenario it’s literally a pointless device for 99% of the user base.
In the end we got a framework laptop, which is more than capable of doing what we wanted and didn’t cost anywhere near as much. Plus it basically looks like a MacBook too. So even going to build quality wasn’t a consideration. I got one too for no particular reason, and it still ended up cheaper.
I’ve been considering Framework for my next machine, AFAICT you made a great choice.
Yeah I think the joke just flew over your head.
I realize this should be a joke, but I am still unsure if it is.
It is 100% a joke. Literally other than Windows being slightly more RAM hungry, there’s not a huge difference between it and Mac’s RAM
Memory is memory. If an application requires a lot of memory then it really doesn’t matter what speed that memory is it’s more important that there’s enough of it.
There are plenty of applications that could theoretically run on the M2 MacBook in terms of processing capacity but can’t run because there isn’t enough RAM available. Oh they run in switching mode, which is super bad, because a, it’s incredibly slow, and b, it’s bad for the hard drive.
Ironically, it’s the other way around, since Apple has to share their RAM between GPU and CPU, where other computers typically have them separately.
So in normal usage with 8 GB, you’re automatically down to 7, since at least 1GB would be taken by the graphics card. More if you’re doing anything reasonably graphics-heavy with it.
Is it like SI RAM vs US Customary RAM?
Yes. Freedom RAM equals approx. 1.6 metric RAMs. Unless your computer is on water, in which case it’s 1.857
Is that calibrated against the Universal Prototype Kilobyte in Paris?
iirc that one is outdated as it’s 1024 bytes. They haven’t been able to shave off the extra 24 bytes
1 GB is equivalent to 127,549,349,788 boron atoms.
My Linux machine has 64 GiB of RAM, which is like 128 GiB of Mac RAM. It’s still not enough
Serious question what are you using all that RAM for? I am having a hard time justifying upgrading one of my laptops to 32 GiB, nevermind 64 GiB.
If games, modding uses a lot. It can go to the point of needing more than 32gb, but rarely so.
Usually, you’d want 64gb or more for things like video editing, 3d modeling, running simulations, LLMs, or virtual machines.
I use Virtual Machines and run local LLMs. LLMs need VRAM rather than CPU RAM. You shouldn’t be doing it on a laptop without a serious NPU or GPU, if at all. I don’t know if I will be using VMs heavily on this machine or not, but that would be a good reason to have more RAM. Even so 32 GiB should be enough for a few VMs running concurrently.
and run local LLMs.
Honestly, I think that for many people, if they’re using a laptop or phone, doing LLM stuff remotely makes way more sense. It’s just too power-intensive to do a lot of that on battery. That doesn’t mean not-controlling the hardware – I keep a machine with a beefy GPU connected to the network, can use it remotely. But something like Stable Diffusion normally requires only pretty limited bandwidth to use remotely.
If people really need to do a bunch of local LLM work, like they have a hefty source of power but lack connectivity, or maybe they’re running some kind of software that needs to move a lot of data back and forth to the LLM hardware, I think I might consider lugging around a small headless LLM box with a beefy GPU and a laptop, plug the LLM box into the laptop via Ethernet or whatnot, and do the LLM stuff on the headless box. Laptops are just not a fantastic form factor for heavy crunching; they’ve got limited ability to dissipate heat and tight space constraints to work with.
Yeah it is easier to do it on a desktop or over a network. That’s what I was trying to imply. Although having an NPU can help. Regardless I would rather be using my own server than something like ChatGPT.
That’s fair. I’ve put it there as more of a possible use case rather than something you should be consistently doing.
Although iGPU can perform quite well when given a lot of RAM, afaik.
Photo Editing, Video Transcoding.
k8s
For me in particular I’m a software developer who works on developer tools, so I have a lot of tests running in VMs so I can test on different operating systems. I just finished running a test suite that used up over 50 gigs of RAM for a dozen VMs.
Same, 48c/96t with 192gb ram.
make -j is fun, htop triggers epilepsy.
Few vms, but tons of Lxc containers, it’s like having 1 machine that runs 20 systems in parallel and really fast.
Have containers for dev, for browsing, for wine, the dream finally made manifest.
Any memory that’s going unused by apps is going to be used by the OS for caching disk contents. That’s not as significant with SSD as with rotational drives, but it’s still providing a benefit, albeit one with diminishing returns as the size of the cache increases.
That being said, if this is a laptop and if you shut down or hibernate your laptop on a regular basis, then you’re going to be flushing the memory cache all the time, and it may buy you less.
IIRC, Apple’s default mode of operation on their laptops these days is to just have them sleep, not hibernate, so a Mac user would probably benefit from that cache.
Outside of storage servers and ZFS no one is buying RAM specifically to use it as disk cache. You will also find that Windows laptops are also designed to be left in sleep rather than hibernate.
AI Models needs that RAM to work
The annoying thing is I have had people claim that 8GB and 16GB is fine on Apple and works better than on PC laptops. To the point one redditor point blank refused to believe I owned an Apple laptop. I literally had to take a photograph of said laptop and show it to them before they would believe me about the RAM capacity.
You should have said “sure buddy” and ignored them.
Obviously it depends on the situation but sometimes it is worth talking to idiots not because you have any chance of changing their mind but just demonstrate to everyone else in the thread that they are in fact an idiot. Just in case somebody thinks they have a point.
Sure buddy.
The problem is they will then keep spreading misinformation.
And that’s your problem? Do you hold $AAPL
Apple helped spread that misinformation. So why would I hold some of their stock if I am trying to counter it?
No, I want companies to stop spreading this bullshit and for people to stop falling for it. I don’t hold any stocks at all. In fact that kind of bullshit I am fairly against.
…or $SPY, or $QQQ, or…
What even are those?
They’re just popular ETFs which contain a lot of $AAPL. I was just commenting that even if someone doesn’t explicitly hold any $AAPL, if they own ETFs/mutual funds, they are likely exposed to $AAPL.
Doesn’t apply to you though since you said you don’t own any stock :)
I own a 8GB MacBook Pro for work, it’s definitely better than a PC with 8GB of RAM, but not better or even close to a PC with 16GB. Just the amount of stutters/freezes while the swap file goes is insane
Maybe this is true if you use Windows. If you use Linux on your PC versus macOS on a MacBook you will probably find the PC performs comparably if not better.
Until you open a web browser or an Electron app. Them folks don’t really seem to give a shit about RAM usage.
We are talking about PC vs Mac. Both have the same problem when it comes to chromium based things.
A Windows application and a Mac application will use pretty much the same amount of memory regardless of operating system.
The real issue is how much memory the OS uses up. Windows is a massive waste of RAM but not enough to make any difference, certainly not with 8 GB versus 16 GB. You’re still better off on PC then.
Oh totally, Linux is in the same ballpark as, if not better than, Macs when it comes to RAM usage. Windows is just a hog
That’s probably all the telemetrics in Windows taking their toll.
While that might have some impact, it’s not really the main problem with Windows. For the most part it’s how it’s actually engineered. For a start look at their compiler.
for the same price other laptops sell for 64GB
what a bargain
Wait, that’s it? Seriously?
Minimum, the base model chip can also come with 32gb.
I always thought 8gb was a fine amount for daily use if you never did anything too heavy, are apps really that ram intense now?
Heavily depends on what you use, on a Linux server as a NAS I’m able to get away with 2gb, an orange pi zero 3 1gb but it essentially only ever ones one app at a time.
Im sure a hardcore rgb gamer could need 32gb pretty quick by leaving open twitch streams, discord, a couple games in the background, a couple chrome tabs open all on windows 11
Imagine how far you can go on 8GB of RAM if every piece of software were still well optimized and free of bloat.
Stop. You’re scaring todays companies. Optimization? That’s a no-no word.
Now please eat whole ass libraries imported for one function, or that react + laravel site which amounts to most stock bootsrap looking blog.
Recently I downloaded Chrome for some testing that I wanted to let separate from my Firefox browser. After a while I realized my computer was always getting hot every time I opened chrome. I took a look at the system monitor: chrome was using 30% of of my CPU power to play a single YouTube video in the background. What the fuck? I ended up switching the testing environment over the libreWolf and CPU load went down to only 10%.
I’d say to try chromium, but you basically need to compile it yourself to get support for all the video codecs.
Yep. I work in IT support, almost entirely Windows but similar concepts apply.
I see people pushing 6G+ with the OS and remote desktop applications open sometimes. My current shop does almost everything by VDI/remote desktop… So that’s literally the only thing they need to load, it’s just not good.
On the remote desktop side, we recently shifted from a balanced remote desktop server, over to a “memory optimised” VM, basically has more RAM but the same or similar CPU, because we kept running out of RAM for users, even though there was plenty of CPU available… It caused problems.
Memory is continually getting more important.
When I do the math on the bandwidth requirements to run everything, the next limit I think we’re likely to hit is RAM access speed and bandwidth. We’re just dealing with so much RAM at this point that the available bandwidth from the CPU to the RAM is less than the total memory allocation for the virtual system. Eg: 256G for the VM, and the CPU runs at, say, 288GB/s…
Luckily DDR 4/5 brings improvements here, though a lot of that stuff has yet to filter into datacenters
Yes. Just as 4GB was barely enough a decade ago.
I usually find myself either capping out the 8GB of RAM on my laptop, or getting close to it if I have Firefox, Discord and a word processor open. Especially if I have Youtube or Spotify going.
RAM is cheaper than my time.
I kinda consider 32GB as a minimum for anyone working on my team.Most of that is discord, they can’t manage a single good thing right Use more GPU than the game I’m playing? Check. Have an inefficient method of streaming a game? Check. Be laggy as fuck when no longer on GPU acceleration when lemmy and guilded is fine? Check.
I can get over 8 GB just running Discord, Steam, Shapes2
I am pretty sure most of that is just discord.
Imagine how much more room we’d have if everything wasn’t dragging a big trailer full of Chrome behind it.
I’m pretty sure Chrome doesn’t even use the memory for anything it just likes it allocated.
It’s really sad that this needs to be an actual headline.
Lol, right? I had a dell laptop with 16GB in 2010. How are apple customers ok with this?
Even phones have been available with more than 8 gigs of ram for ~5 years
Why are apple products always so anemic on memory?
Greed, it lowers the advertised price, but once you spec it decently you’ve added a grand in extras
Price discrimination based on memory loadout is real, but it’s not specific to Apple, either.
Because a huge part of their business model over the past twenty years has been the upsell.
I bought my first MacBook in 2007. It had 2gb of RAM as standard. I asked about upgrading it, the guy told me to pick some up online as it would be waaaay cheaper, and he was right. Did the same for the MacBook Pro that replaced it a few years later, but in the meantime they moved to the soldered model so had to swallow the cost of the 16gb ‘upgrade’ in my M2 Air.
To be fair, the cost over time of my Macs has been incredible. My 2011 MBP is still trucking along, these days running Linux Mint. With the cost to upgrade the RAM and replace the HDD with an SSD, all in it cost me around £1200. Less than £100 a year for a laptop that still works perfectly fine.
Because there are two types of mac users:
- People that are buying them with their own money because they’re trendy and just using them as glorified Internet browsers. 16gb is plenty.
- People using them professionally so their company is paying and Apple can over charge for the necessary memory upgrade
This pretty much. I don’t care that much that a maxed out MBP is $6000 or whatever, my employer pays for that.
I have an m2 8 gb. And it’s plenty. It’s just a browsing/discord/stream box basically.
This pretty much. I don’t care that much that a maxed out MBP is $6000 or whatever, my employer pays for that.
…is this actually 16Gb or 8Gb feeling like 16Gb, as per previous statements?
I think perhaps they realize the Apple magic has worn off and people have shockingly realized that 8 GB is in fact 8 GB.
I can report that the magic wore off for me with my 8gb M2 Mac mini.
deleted by creator
I’ve had to support their products on a professional level for over a decade.
Their enterprise stuff…can only be described as a quintessential example of an ill-conceived, horrendously executed fiasco, so utterly devoid of utility and coherence that it defies all logic and reasonable expectation. It stands as a paragon of dysfunction, a conflagration of conceptual failures so intense and egregious that it resembles a blazing inferno of pure, unadulterated refuse. It is, in every conceivable sense, a searing, molten heap of garbage—hot, steaming, and reeking with the unmistakable stench of profound ineptitude and sheer impracticality.
xServes were pretty cool though
That was…. poetry!
I know it’s not a like for like comparison, but the Pixel 9 Pro that launched this month has 16gb of RAM.
Some phones have 24gb since 2 years ago already
Which phone(s) had 24Gb standard?
I didn’t think any of those are the base model. Anything with Pro or Ultra in the name should have more than 8Gb of RAM in my opinion. It also seems dominated by OnePlus as the others listed are not really players in the larger market. You could possibly argue that Xaomi is but I’ve never even seen one of these phones in the real world. In fact it looks like most of these are only available in China variant.
I am writing this using my Xiaomi poco x3 pro, although it have 8gb ram and 256gb memory, it also have headphone jack and micro SD slot
Yup, while the current iPhone 15 Pro is the only model which has 8 GB of RAM, with the regular iPhone 15 having 6 GB. All iPhone 16 models (launching next month) will still only have 8 GB according to rumors, which happens to be the bare minimum required to run Apple Intelligence.
Giving the new models only 8 GB seems a bit shortsighted and will likely mean that more complex AI models in future iOS versions won’t run on these devices. It could also mean that these devices won’t be able to keep a lot of apps ready in the background if running an AI model in-between.
16 GB is proper future-proofing on Google’s part (unless they lock new software features behind newer models anyway down the road), and Apple will likely only gradually increase memory on their devices.
Pretty much what NVIDIA is doing with their GPUs. Refusing to provide adequate future proof amount of VRAM on their cards. That’s planned obsolescence in action.
And like Apple, Nvidia has no shortage of fanboys that insist the pitiful amounts of (V)RAM is enough. The marketing sway those two companies have is incredible.
It’s a complete joke that Sapphire had an 8GB version of the R9 290X, what, 11 years ago or something? And yet Nvidia is still selling 8GB cards now, for exorbitant prices, and people lap it up.
The current GPU situation actually has me curious about AMDs upcoming Halo APU chips. They’re likely going to be pretty expensive relative to their potential GPU equivelent performance but if they work out similar to the combined price of a CPU and GPU then it might be worthwhile as they use onboard RAM as their VRAM. Probably a crazy idea but one I look forward to theory-building in spring when they release.
This happens if you sell your hardware as DRM key to use their software (i(Pad)OS, macOS etc. and Cuda)
If you were being cynical, you could say it was planned obsolescence and that when the new ai feature set rolls out that you have to get the new phone for them.
I would say it is more so they can advertise a lower price. But then expect you to get the more expensive ones as the bare minimum is just not enough.
For the base model yeah, but apple loves charging a packet for more memory so I don’t see it for the top of the range models. Would be typical for them to only offer 16gb with the increased storage as well, just to bump the price up
I think they got caught with their pants down when everybody started doing AI and they were like “hey, we have this cool VR headset”. Otherwise they would’ve at least prepared the regular iPhone 15 (6 GB) to be ready for Apple Intelligence. Every (Apple Silicon) device with 8 GB or more get Apple Intelligence, so M1 iPads from 2021 get it as well for example, even though the M1’s NPU is much weaker than some of the NPUs in unsupported devices with less RAM.
They are launching their AI (or at least everything under the “Apple Intelligence” umbrella) with iOS 18.1 which won’t even release with the launch of the new iPhones, and it’ll be US only (or at least English only) with several of the features announced at WWDC still missing/coming later and it’s unclear how they proceed in the EU.
With how polished Apples AI on mobile was at launch compared to Gemini on Android at launch were it could not even do basics like timers I suspect Apple had it in the works for far longer and it would not have been a total surprise.
Also you are describing the situation at launch for new hardware, the software will evolve every year going forward and the requirements will likely increase every year. If I am buying a flagship phone right now I want it to last at least 3 years of updates, if not 5 years. The phone has to be able to cope with what is a very basic requirement that is enough RAM.
This isn’t some NPU thing, this is just basic common sense that more RAM is better for this, something the flagship iPhones could have benefited from for a while now.
I’m not sure if you’re agreeing or disagreeing with me here. Either way, hardware has a substantially longer turnaround time compared to software. The iPhone 15 would’ve been in development years before release (I’m assuming they’re developing multiple generations in parallel, which is very likely the case) and keep in mind that the internals are basically identical to the iPhone 14 Pro, featuring the same SoC.
AI and maybe AAA games like Resident Evil aside, 6 GB seems to work very well on iPhones. If I had a Pixel 6/7/8 Pro with 12 GB and an iPhone 12/13/14 Pro (or 15) with 6 GB, I likely wouldn’t notice the difference unless I specifically counted the number of recent applications I could reopen without them reloading. 6 GB keeps plenty of recent apps in memory on iOS.
But I’m not sure going with 8 GB in the new models knowing that AI is a thing and the minimum requirement for their first series of models is 8 GB is too reassuring. I’m sure these devices will get 5-8 years of software updates, but new AI features might be reduced or not present at all on these models then.
When talking about “AI” in this context I’m talking about everything new under the “Apple Intelligence” umbrella, like LLMs and image generators. They’ve done what you’d call “AI” nowadays for many years on their devices, like photo analysis, computational photography, voice isolation, “Siri” recommendations etc.
I was under the impression that ios used sleight of hand with apps to reduce memory footprint for inactive apps rather than how android manages its recent apps list? Is it still requiring special permissions to run non apple apps in the background as active tasks? AI will need to run the background and will need a decent chunk of RAM to do so.
I completely agree that changing the processor or revising NPU or similar is too much to do late stage, I reject that for increasing RAM or storage, both can be changed closer than 12 months from release and I would also reject that apple had the AI changes planned for much less than 12 months out as well. It just feels like a big fuck you to anybody buying a flagship from apple this year as it wont last the length of time it should do for normal consumers who would expect all of the latest AI features to roll out during the supported window.
iOS used to be able to handle background tasks via very specific APIs, that started with iOS 4 and I believe this started to be reworked with iOS 7 and it behaves similar to Android in that background apps are suspended by default. According to an old video by Android Authority, iOS seems to be able to compress suspended apps down to a smaller memory footprint than Android. Both OS allow background services to run, but to my understanding iOS keeps way more control over that compared to Android (although vendor-specific battery saving features probably attempt to do something similar on Android). So in that way, it’s still more specific/selective on iOS compared to Android. Prompt (iOS SSH app) uses the location service in the background to prevent iOS eventually killing active connections for example. Still, iOS seems to handle app suspension more efficient than Android (and yes, Android actually suspends background apps as well).
I’m with you that they could’ve likely bumped all soon-to-be-released iPhone 16 models to 16 GB, but rumors only have them at 8 GB. Makes “sense”, as even the iPad Pro and MacBook Air still only come with 8 GB in their lowest configurations.
But I don’t buy that them releasing the iPhone 15 with only 6 GB of RAM was a malicious attempt at limiting AI features. Seeing how unfinished their AI stuff is even in their latest beta releases, they were/are playing catchup. It was bad foresight and there are often talks about how internal teams at Apple are very secretive about projects in development, I wouldn’t be surprised if the team developing the iPhone 15 knew pretty much nothing about the software plans with Apple Intelligence. It’s still a very valid point of criticism though obviously, seeing as you could still buy an iPhone 15 to this day (it’s still the “latest and greatest” non-Pro iPhone before the iPhone 16 releases in a few weeks) and you won’t get the by far biggest feature of a software update releasing just weeks/months after your purchase. This is a huge step backwards in terms of software support, as iPhones normally get pretty much all major new software features for at least 3 years, and still most features of even newer OS releases (recent devices have seen support for major updates for 6+ years, the iPhone XS will get its 7th major iOS release with iOS 18).
I’m not saying “cut that poor multi-trillion dollar company a break”, I’m just saying that not supporting the iPhone 15 for Apple Intelligence probably isn’t a result of malicious acting, but rather bad foresight and poor internal communication. Limiting the soon-to-be-released iPhone 16 models to 8 GB on the other hand seems very greedy, especially with them trying to run as many of their AI models on-device.
I bet, that the next non pro iPhone will be one of the most sold iPhones, all time. Or it is the SE one, if it supports apple’s “AI”. I think, they planned that this way, so they have an explanation compared to when they tried sell new hardware for stage manager.
I don’t use Apple computers but if we’re going into phones, iOS is extremely memory efficient. I’m on a six year old XS max with 4GB and it works like the day I got it, running circles around Android phones half its age.
I remember back in the early 2000s when I saw a PDA with a 232mhz cpu and 64mb ram, and I realized how far technology had come since I got my computer with a 233mhz cpu and 64mb ram…
Obviously different architechtures, but damn that felt strange…
It’s a good comparison actually because Apple keeps saying that their ram is faster because it’s soldered (Which is true but only if you squint). I don’t really think it makes a difference because if you run out of space you still run out of space, the fact that you can access the limited space more quickly doesn’t really help.
Well phone RAM also tends to be solded onto the board too so it’s a pretty good comparison.
When I hear about ram being soldered, I think of cheap computers with the memory permanently attached to the motherboard for planned obsolescence and/or cost.
The current mac silicon has memory integrated into the one chip that houses the cpu, gpu, cache, and memory. This approach has pros and cons, one of the biggest cons being upgradability.
It would be great if something like 64gb was stock for the prices they charge, but the fact I can run my laptop for days without it getting hot gives them a pass in my book.
My sister just bought a MacBook Air for college, and I had to beg her to spend the extra money on 16gb of memory. It feels like a scam that it appears cheap with the starting at price, but nobody should actually go with those “starting at” specs.
Yeah it’s about future proofing. 8 GB might be okay for basic browsing and text editing now, but in the future that might not be the case. Also in my experience people who only want to do basic browsing and word editing, end up inevitably wanting to do more complex things and not understanding that their device is not capable of it.
Exactly. I told her that 8gb might be fine for a year or two, but if she wants this thousand plus dollar laptop to last four years she needs to invest the extra money now. Especially once she told me she might want to play Minecraft or Shadow of the Tomb Raider on it
…in 2030.
It’s because AI needs a not a ram. I think Apple did not expect or plan for ai which shows in the fact that only the latest pro phone can have Apple intelligence. It’s because that phone has enough ram.
Now they will boost ram across the board because Apple intelligence will not run well without it.
Depending on pricing, I may actually buy a MacBook in 2025.
I’ve wanted one since the m1, but I’ve held out until 16gb was the starting amount of ram.
Or you could just get just about any other non-mac system that lets you upgrade RAM easily when you need too…
Just stop supporting Apples soldered in BS
I know what you mean, but I’m tired of window’s bullshit too.
I’d keep pc hardware if my work could happen on Linux, but it’s sadly not an option at the moment.
But RAM on the non-mac side is plentiful and relatively cheap. For the same cost of that base model 16GB Mac you can get a PC laptop with 64GBs of RAM and plenty of storage
With all that RAM and storage you can slap Linux on it and run Windows on a VM for that work software that doesn’t work under alternatives such as Wine
Or alternatively run a hackintosh-VM then you can have MacOS without supporting Apples user-hostile decisions
I hate to be the bearer of bad news, but most things and light laptops have had soldered ram for many years now. There are exceptions, but they’re few and far between.
What? Lol nah plenty of laptops have removable RAM. It tended to show up often on the “Ultralight” tier, but outside of that and Chromebooks it’s been by no means the norm
It has kind of come with newer laptops being driven to be thinner, and for newer devices, because the old SODIMM format is no longer capable of the throughput/latencies needed for higher speed memory.
From memory, 2.1Ghz DDR5 is where it caps out. Anything faster, like 2.8 GHz either requires it to be soldered, or one of the new formats like the one Dell has started using.
The replacement you’re talking about is called [CAMM](https://en.wikipedia.org/wiki/CAMM_(memory_module\)) and personally I’m excited about it. Not only does it support faster speeds than SO-DIMM, it takes up less physical space. And I believe you can’t even put LPDDR on a SODIMM, so CAMM should also use less power?
Bad news: literally all current CPU gen laptops use soldered RAM.
All of them. Every single one. No exceptions.
Hopefully that’ll change, but as it stands right now, if you want newest gen, you cannot get replaceable RAM.
And even before current gen, the vast majority of Windows laptops were soldered too.
E: idk why you’re downvoting, it’s true lol.
Is Intel Core Ultra Series 1 current gen, or is it a gen old by now? Framework has them, but I suppose you technically can’t get them since they’re currently on preorder
I really don’t know where you’re looking because I only see that in business-class laptops and even then not all of them have soldered RAM.
And I’m already counting the ones with one expansion slot with the soldered bunch.
Of course, if you paid attention only to HP, Dell and Lenovo, then I’d see why you’d think so. But beyond those brands, you don’t have that soldered nonsense everywhere. At the very least, you have things like Clevo, Framework and the like to sell you laptops without soldered ram.
I bet there are even websites that let you filter laptop models without soldered ram. Personally, I only know about Germany-based websites like that, though.
You are looking at previous-gen platforms.
E.g. for Framework, you’re looking at APUs like the 7840U, which is not current gen. It’s two generations old. (7840U/Phoenix > 8850U/Hawk Point > AI 9 365 (awful naming btw AMD)/Strix Point).
Like I said, all current CPU gen laptops cannot use SODIMM. I really hope that changes though.
And let me be clear here, I’m not exaggerating for effect; I do not mean most of them. I do not mean the vast majority of them. I do not mean practically all of them. I literally mean all of them. 100% of them. Every single one that exists.
AMD, Intel, and Qualcomm do not currently have compatibility with SODIMM on their newest gen mobile CPUs.
I hope that changes, and I expect it eventually will, but as it stands right now, no you cannot have SODIMM modules if you are buying any laptop with the newest gen CPUs.
Well fudge me sideways. Every day is a school day.
They’ve all got LPDDR5, so yeah, you’re unfortunately right. It feels kinda weird having to consider the 7000 and 8000-series last gen already; true as it is, though.
Don’t worry, the latest chips were just built to only handle CAMM2, a new removable RAM standard that replaced SODIMM
It’s a bit confusing though because both soldered and CAMM2 are listed as LPDDR5 on spec sheets, from what I’ve looked at it appears if there’s an x at the end of the LPDDR5 it should be CAMM2
It’s also brand BRAND new, so I’m sure quite a few manufacturers rushed out the door with the new chips just soldering on the RAM because they couldn’t get CAMM2 in it in time for whatever reason
I looked into it, yea current gen chips aren’t compatible with SODIMM
Because they’re compatible with the brand new removable RAM standard, CAMM2. It is confusing though, as everywhere I’ve looked both soldered and CAMM2 were listed as LPDDR5 which is what makes you think it’s just soldered RAM. So far it looks like if a spec sheet lists LPDDR5x it should be a CAMM2
CAMM2 is also very very new, so I’m sure a few manufacturers in their rush to get the new/current gen chips out the door just used soldered RAM.
CAMM2 is very exciting, it basically eats into all of Apples listed pros for having soldered in RAM as close to the CPU as possible while still being user removable. (Performance, efficiency etc)
