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MacBook Pro with M5 Pro and M5 Max

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Re: MacBook Pro with M5 Pro and M5 Max

#111
post #68

Earlier quoted context omitted.

I think its just marketing, and the marketing is working. Look how many people bought Minis and ended up just paying for API calls anyway. (Saw it IRL 2x, see it on reddit openclaw daily) I don't mind it, I open Apple stock. But I'm def not buying into their rebranding of integrated GPU under the guise of Unified Memory.

> Look how many people bought Minis and ended up just paying for API calls anyway. (Saw it IRL 2x, see it on reddit openclaw daily) Aren't the OpenClaw enjoyers buying Mac Minis because it's the cheapest thing which runs macOS, the only platform which can programmatically interface with iMessage and other Apple ecosystem stuff? It has nothing to do with the hardware really. Still, buying a brand new Mac Mini for that…

yes, and its funny that all these critical people dont know this

Re: MacBook Pro with M5 Pro and M5 Max

#112
post #52

Earlier quoted context omitted.

I feel like the push by devs towards Metal compatibility has been 10x than AMD. I assume that's because the majority of us run MacBooks.

Who is "us" in this case? Majority of devs that took the stack overflow survey use Windows: https://survey.stackoverflow.co/2025/technology/#1-computer-...

I think it's reasonable to say that the people responding to surveys on Stack Overflow aren't the same people who work on pushing the state of the art in local LLM deployment. (which doesn't prove that that crowd is Apple-centric, of course)

Re: MacBook Pro with M5 Pro and M5 Max

#113
post #12

I typed “RAM” to search for it and boy they hammer home how lucky I am to be getting 1TB SSD standard, but no mention of RAM anywhere on this page. Anyway, the MacBook Pro starts with 16GB of RAM. It’s $400 to go from 16GB to 32GB. Interestingly, 36-128GB models are showing as “currently unavailable” on the store page, and you can’t even place an order for them right now? But for anyone curious, it’s quoting $5099 fo…

Insane for the "Pro" to have only 16GB of memory. My 11 year old Intel i3 laptop has 16GB of memory.

Re: MacBook Pro with M5 Pro and M5 Max

#114
I love the following section of their copy:

> Even More Value for Upgraders

> The new 14- and 16-inch MacBook Pro with M5 Pro and M5 Max mark a major leap for pro users. There’s never been a better time for customers to upgrade from a previous generation of MacBook Pro with Apple silicon or an Intel-based Mac.

I read as "Whoops we made the M1 Macbook Pro too good, please upgrade!"

I think I will get another 2-5 years out my mine.

Apple: If you document the hardware enough for the Asahi team to deliver a polished Linux experiene, I'll buy one this year!

Re: MacBook Pro with M5 Pro and M5 Max

#116

On M4 Max 128GB we're seeing ~100 tok/s generation on a 30B parameter model in our from scratch inference engine. Very curious what the "4x faster LLM prompt processing" translates to in practice. Smallish, local 30B-70B inference is genuinely usable territory for real dev workflows, not just demos. Will require staying plugged in though.

[flagged]

For chat type interactions prefill is cached, prompt is processed at 400tk/s and generation is 100-107tk/s, it's quite snappy. Sure, for 130,000 tokens, processing documents it drops to, I think 60tk/s, but don't quote me on that. The larger point is that local LLMs are becoming useful, and they are getting smarter too.

Re: MacBook Pro with M5 Pro and M5 Max

#117
post #12

I typed “RAM” to search for it and boy they hammer home how lucky I am to be getting 1TB SSD standard, but no mention of RAM anywhere on this page. Anyway, the MacBook Pro starts with 16GB of RAM. It’s $400 to go from 16GB to 32GB. Interestingly, 36-128GB models are showing as “currently unavailable” on the store page, and you can’t even place an order for them right now? But for anyone curious, it’s quoting $5099 fo…

>Anyway, it starts with 16GB of RAM. $400 to go from 16GB to 32GB Interesting that this hasn't budged since the memory shortages appeared.

> Interesting that this hasn't budged since the memory shortages appeared.

Apple has had enough war chests with the ability of buying the entirety of TSMC's new capacity years in advance in the past.

If I were to guess, Apple locked in their entire BOM and production capacity two years ago. That's something even the large players cannot replicate because they run cash-lean and have too many different SKUs, and the small players (Framework, System76, even Steam) are entirely left to the forces of the markets.

Re: MacBook Pro with M5 Pro and M5 Max

#119

Earlier quoted context omitted.

Apple's AI strategy really kind of threads the needle cleverly. "AI" (LLMs) may or may not have a bubble-pop moment, but until it does Apple get to ride it on these press releases and claims. But if the big-pop occurs, then Apple winds up with really fantastic hardware that just happens to be good at AI workloads (as well as general computing). For example, image classification (e.g. face recognition/photo tagging),…

those things could likely just run fine on the gpu though

They could run fine on the CPU too. But these are mobile devices, therefore battery usage is another significant metric. Dedicated hardware is more energy efficient than general hardware, and GPU in particular is a power-hog.

Re: MacBook Pro with M5 Pro and M5 Max

#120
post #5

"Scaling up performance from M5 and offering the same breakthrough GPU architecture with a Neural Accelerator in each core, M5 Pro and M5 Max deliver up to 4x faster LLM prompt processing than M4 Pro and M4 Max, and up to 8x AI image generation than M1 Pro and M1 Max." Are they doubling down on local LLMs then? I still think Apple has a huge opportunity in privacy first LLMs but so far I'm not seeing much execution.…

What % of users actually care that much about local LLMs? It appears to still be an inferior (though maybe decent) service compared to ChatGPT etc., and requires very top-end hardware. Is privacy _that_ important to people when their Google search history has been a gateway to the soul for years? I wonder if these machines would cost significantly less (or put the cost to other things, e.g. more CPU cores) without this emphasis on LLMs.
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