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jmyeet 5 hours ago

I've dug into this previously for one simple reason: NVidia segments the market by capping VRAM and Apple silicon uses a shared memory model that could challenge that but it currently doesn't. And I really wonder if Apple realizes the potential of what they have or if they even care.

So, for comparison, a 5090 has 32GB of VRAM and you can get one for ~$3000 maybe. To go beyond that memory with current generation (ie Blackwell) GPUs, you have to go to the RTX 6000 Pro w/ 96GB of VRAM and that's almost $10,000 for the GPU by itself. Beyond that you're in the H100/H200 GPUs and you're talking much bigger money.

Part of the problem here is the author is looking at laptops. That's the only place you'll find the M5 Max currently. The real problem here is that the Mac Studios haven't been updated in almost 2 years. There were configs of those with 256/512GB of RAM but they've been discontinued, possibly because of the RAM shortage and possibly because of they're reaching EOL. Apple hasn't said why. They never do.

Many expect M5 Ultra Mac Studios in Q3 and the M5 Ultra may well have >1TB/s of memory bandwidth (for comparison, the 5090 is 1.8TB/s). Memory bandwidth isn't the only issue. A 5090 will still have more compute power (most likely) but being able to run large models without going to a $10k+ GPU could be huge.

But yes, it's hard to compete with the scales and discounted electricity of a data center. Even H200 compute hours are kinda cheap if you consider the capital cost of what you're using.

I've looked into getting a 128GB M5 Max 16" MBP. That retails for $6k. You might be able to get it for $5400. But I don't think the value proposition is quite there yet. It's close though.

2 hours ago | parent | next [-]
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gizajob 5 hours ago | parent | prev [-]

I think Apple really do care and know that Moore’s law is likely to position them as major winners in this race in 3-7 years time.

brookst 5 hours ago | parent [-]

This. The M5’s massive speed up in refill is a good sign.

Apple isn’t expecting wholesale adoption of on-device models this year or next. But all of their design and iteration suggests they see it coming.

datadrivenangel 3 hours ago | parent [-]

Apple has been doing tons of on-device ML for years now, but it's primarily background magic like photo tagging.