The generation doesn't mater as much to me as the memory bandwidth. When that day comes, I'd rather have a M1 Max 64GB over a M5 Pro 64GB.
I am one of those: bought the M1 Max with 64gb thinking in running VMs, afterward bought a lighter Air with less memory and ended up using the M1 Max as a kind of luxury for LLMs and multicore computing.
The only hope we have is the AI bubble bursting, but that will undoubtedly come with its own set of macroeconomic surprises.
Though I have had good results buying 1-2 generation old refurbished Macs as my secondary machines or for family members who don’t need cutting edge everything.
It’s even more valuable now that Apple silicon of every generation is more than enough to run every non-power user use case short of newer video games.
0: https://www.ifixit.com/Teardown/iMac+Intel+27-Inch+EMC+2309+...
1: https://www.ifixit.com/Teardown/iMac+M3+24-Inch+Teardown:+Ap...
https://www.apple.com/shop/product/mxk53am/a/magic-mouse-usb...
It’s too bad. A high end iMac still holds a lot of appeal, especially for those seeking clean desk setups. I’m using an MBP hooked up to dual monitors through a dock right now and it’s fine, but I do miss how clean my desk was back when it was a VESA mounted iMac Pro and companion monitor.
the iMac returned to its roots as the “family computer” or “grandma email box” kind of machine.
This has been reported for many months. Sorry if you missed the news, but if you need a much higher memory variant the M5 Pro/Max are what’s available this cycle.
I don't know man?
The generation kind of does matter. I'm not gonna lie, matrix multiplication units speed things up considerably. That hardware confers a material change in capability.
Maybe from M5 up, it doesn't matter? But you're definitely going to notice the difference between M1 and M5 for instance.
And now if you stretch you can run DeepSeek Flash 4.1.
And if you were willing to roll up your sleeves you could build your own AI lab at home and run this model and models like GLM Flash 5.3 and DeepSeek Flash V4.1 at lower quants. The budget GPUs (like V100) are kind of not budget now, but still <5K to acquire 128GB of fast VRAM that can compete with a 5090 and actually has a lot more interesting options available IMO.
Dense models also don't like quantization as much and are less tolerant of it. There are some very interesting smaller models like https://huggingface.co/nvidia/NVIDIA-Nemotron-Labs-Dory1.0-4... Dory that I would check out. You need system RAM or to stream a larger MoE model from disk and it won't be fast. You need to specialize the models some to get quality results if you have very limited system resources.
It will show you on the model selection IF a model fits and if you use a "Qwen 3.8-35B-A3B" type of model, it should just work out of the box. A3B stands for Active which means you need a lot less fast ram.
You will run into issues fast though: If you have big tasks for it to do, your pc/mac will get warm very fast and noisy and you will cosume relevant more energy.
And as you mention: yeah small context!
Its still not that practical in my opinion.
https://github.com/Niko1221/Strata/
My setup is a Ryzen 3600, 90GB DDR4 allocated to a VM (don’t even really need that much, just had it available, special thanks to the year 2024), and an RX 9060XT 16GB ($500 GPU).
I get around 40-60 tok/s depending on the quantization level I choose.
As you can see, the CPU is nothing special, don’t even need DDR5.
So it depends on what you're doing. Using it for a fun oracle without feeding it too much context per turn? Sure, an older Max chip is great.
As a coding agent doing meaningful work on a sizable project? Compared to a cheap as chips cloud option, it will take an order of magnitude more time to complete.
It feels just as fast as day 1 and I've never had any speed issues. Say what you want about Apple and their pricing and ecosystem but I've been using their hardware for over 20 years now and it's always been top notch.
If you buy their support/AppleCare, your support and warranty is excellent too. They don't skimp. I've seen them go so far past the extra mile it's unreal.
Definitely grabbing 128 GB + for the next machine.
Isn't it also rumored that the M7 is reworked for AI?
And Xiaomi announced their AI Cube with 1.2t of bandwidth. Just because Nvidia is protecting its business by giving consumers either compute or bandwidth and Apple being something in between, doesn't mean we can't get both a lot better balanced.
I'm gonna max out most of the specs on the next one I get, would feel insanely wasteful to do that now.
24" is a good size for casual users which is the main market. You can have two roomy-ish GUI apps (two web pages, etc) side by side.
cyberpunk•1h ago
newsclues•1h ago
ComputerGuru•57m ago
close04•13m ago
The ECC in DDR5 is on-die ECC and that's not "real" ECC, it's what DDR5 needs to not fail. Side-band ECC is the standard method, employing extra memory chips and 72bit memory. OEMs mix these in the marketing materials to fool the users into thinking they buy the better option.
bel8•54m ago
Mashimo•44m ago
aeyes•29m ago
snowram•13m ago
cosmic_cheese•10m ago
It’s nice for games but I don’t really care for productivity use. In fact in that situation I’d take integer-scaled HiDPI density over refresh rate in that scenario.
cbg0•5m ago