this post was submitted on 14 Jul 2026
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[–] eicker@lemmy.world 16 points 7 hours ago (1 children)

1.5 TB of unified memory sounds less like a computer and more like Apple preparing for the moment your local AI starts asking for a raise. Plot twist: by 2028 the RAM upgrade still costs more than the rest of the machine combined.

[–] AA5B@lemmy.world 4 points 4 hours ago (2 children)

Remember this is “unified”, it’s not like you can upgrade, nor is it available in the “cheap” packaging we’re used to.

You’ll get whatever Apple puts on the SoC, and you’ll be happy with it

[–] NotMyOldRedditName@lemmy.world 5 points 4 hours ago (1 children)

Apples memory has never been cheap, it's always been a very expensive upgrade.

[–] BigPotato@lemmy.world 1 points 11 minutes ago

I slowly turn to dust as I recall cracking open 2013 MacBook Pros and just putting more memory in.

The memories of loading up the G3 with SDRAM so I can fiddle with Photoshop 5, lost like tears in the rain.

[–] eicker@lemmy.world 4 points 4 hours ago (1 children)

The upside is that unified memory is genuinely different from traditional RAM. The CPU, GPU and Neural Engine all share the same memory pool, so data doesn’t need to be copied back and forth. That reduces latency, improves efficiency and lets AI models, graphics and other workloads access much larger datasets. It also uses less power and saves board space. The downside is obvious: because it’s integrated into the chip, you have to choose the right amount upfront, since it can’t be upgraded later.

[–] NotMyOldRedditName@lemmy.world 1 points 3 hours ago* (last edited 3 hours ago)

Ya, these high memory amounts and ever increasing memory bandwidth are heavily (but not only) targeting people wanting to run local large AI models like a full deepseek on their machines.

You might not be able to train as well on them as NVIDIA + CUDA, but for local inference, they're an alternative to NVIDIA and more reasonably priced for the model sizes you can run, and each iteration they get better as the bandwidth increases.

[–] khepri@lemmy.world 6 points 6 hours ago

There's going to be a massive boom in local llms if we get there. Already I have replaced ~80% of my paid token usage with a small local model running on my 64gb macbook pro, but being able to run a full-fidelity multi-hundred-billion parameter llm locally would be a game changer for my use case at least.

[–] phoenixz@lemmy.ca 5 points 7 hours ago (1 children)

You'll only be able to afford 640KB, but it CAN go to 1.5TB!

[–] scutiger@lemmy.world 1 points 6 hours ago

640k ought to be enough for anyone.

[–] Mereo@lemmy.ca 101 points 22 hours ago* (last edited 22 hours ago) (3 children)

Basically Apple will be building the perfect computers to run local LLMs.

[–] puppinstuff@lemmy.ca 1 points 39 minutes ago

Only if they can figure out how to emulate CUDA. Or maybe more containers will start providing alternatives if the machines are popular enough?

There’s still a lot of image and OCR workflows I have to chug through the CPU and it takes forever.

[–] SuspiciousCarrot78@aussie.zone 4 points 7 hours ago* (last edited 6 hours ago) (2 children)

I guess it depends on your definition of perfect - cheap, good or fast.

This thing is probably going to cost at least $20K USD.

Edit:

"Next year's base M7 processor is expected to arrive in the first half of 2027 and will also upgrade memory bandwidth to about 240 GB/s."

That's...really fucking slow. What's the goal here - CGI, engineering sims, game dev etc? 1.5TB is cool but at 240GB/s that will crawl for AI use.

Comparison: this is about $100K, for 7.2TB/s, 252GB VRAM (+500GB system ram, so closer to 750GB total)

https://www.nvidia.com/en-us/products/workstations/dgx-station/

[–] REDACTED@infosec.pub 1 points 52 minutes ago

While Apple computers generally will have better support, they will be very slow due to unified memory itself. I'm not sure if this is actually the future.

[–] NotMyOldRedditName@lemmy.world 1 points 3 hours ago* (last edited 3 hours ago)

Something got reported on incorrectly because the M5 Max's have 614 GB/s today, and the Ultra M4 machine's (not laptops) are 819 and that's 3 generations behind a M7 if they make an M7 ultra machine.

$ for $ you'll get more video ram than paying for a 5090, but it won't be as fast and can't train well.

Before the ram price decable, you could get a 192gb M4 Ultra for ~10k CAD.

[–] foodandart@lemmy.zip 82 points 21 hours ago (2 children)

One can only hope that it totally breaks the AI/LLM at industrial scale, so businesses can run their own AI systems with their own data sets.

No more of this fucking datacanter horseshit.

[–] Whostosay@sh.itjust.works 32 points 21 hours ago

It's pretty obvious at this point that the data centers are for storing massive amounts of video.

[–] Chivera@lemmy.world 22 points 18 hours ago (1 children)

Can I load all of GTA 6 into RAM?

[–] Rai@lemmy.dbzer0.com 5 points 10 hours ago

Making a RAM drive to load a few minutes of rolling video game footage so it isn’t constantly writing to my SSD or HDD was one of the most “the future is now” things I’ve done lately… and it’s not a new concept, I just never considered it before.

[–] AllNewTypeFace@leminal.space 17 points 17 hours ago

Remortgage your house now.

[–] ryper@lemmy.ca 69 points 22 hours ago* (last edited 22 hours ago) (3 children)

A Mac with 1.5TB RAM would be expensive at the best of times. In 2027/2028 it might approach $50k, or even get into 6 figures.

[–] h0rnman@lemmy.dbzer0.com 7 points 12 hours ago

With the Apple tax, I'd expect 1.5TB to run you closer to $200k. Enterprise prices are that high today, so if trends continue it's going to be bad

[–] lepinkainen@lemmy.world 17 points 18 hours ago

Big household name gaming companies have devs who burn 20k in tokens A MONTH.

A 50k machine that can run a model locally with 0 monthly costs will pay for itself in 3 months.

[–] foodandart@lemmy.zip 24 points 21 hours ago (2 children)

It shouldn't be, if Apple gets that import exemption from the Chinese memory manufacturer (ChangXin Memory Technologies) they are asking for. Apparently they're already testing the CXMT chips to put in the phones sold in China, freeing up the orders/stock they've sourced already from "safe" sources, to go into their products sold in the rest of the world.

Smart move if they can finagle it.

Hopefully they can get it through before the fuckwits in the administration understand how effectively it can threaten the big AI players that Trump seems to be sniffing around.

You absolutely BET that he will scuttle any trade deal if it interferes with his own personal agenda WRT his investments in AI.

He's that much a greedy cunt.

[–] Fizz@lemmy.nz 15 points 14 hours ago (1 children)

apple sells ram at double market rate in the cheapest of times

[–] Jakeroxs@sh.itjust.works 1 points 1 hour ago

Yeah the Apple fanboys are delusional if they think they'd get this on any level of affordability, Apple always overpriced for the components. "But muh reliability/engineering" I hear them scream from the void, yet I could list a ton of hardware/engineering failures from Apple products over the years, they're not one of the most profitable companies in America for nothing, It's because they consistently charge more for less.

The only thing I'll give them is booting intel and really kickstarting ARM support on desktops, Microsoft just did a shit job of it (per the norm) even though they've been trying for like a decade at this point.

[–] starblursd@lemmy.zip 19 points 18 hours ago

Or the more likely option that they get the cheaper ram from China and then double dip and use the ram scarcity excuse for higher prices

[–] vegeta@lemmy.world 13 points 17 hours ago (1 children)

Yeah, but can it run Crysis?

[–] ranzispa@mander.xyz 13 points 16 hours ago (1 children)

Nope, still running single core. Probably runs worse than on older CPUs which were optimized for single core clock speed.

[–] boonhet@sopuli.xyz 8 points 12 hours ago

IPC in modern CPUs is up compared to 2007 or whatever though