• Ghostalmedia@lemmy.world
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    8 months ago

    I knew “scary fast” had to mean some sort of processor bump for hardware, but I was secretly hoping they’d kill off the remaining Lightning ports on their keyboards, trackpads, and mice.

    And I was hoping they’d finally redesign that god awful mouse. I don’t know how people live with that thing.

    • tsonfeir@lemm.ee
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      8 months ago

      I think they want to force trackpads. I can’t even use a mouse anymore. Feels strange.

  • MooseBoys@lemmy.world
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    8 months ago

    3 nanometer

    That’s a silicon lattice just six atoms thick. What a time to be alive!

  • arcadefx1@lemmy.world
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    8 months ago

    The memory maximums are a tad silly. I’d expect …

    • M3 up to 32gb
    • M3 Pro up to 64gb
    • M3 Max ok, this one is ok

    The ray tracing is awesome, but minus that I am not eager to move up from my M1 Max.

    • NotMyOldRedditName@lemmy.world
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      8 months ago

      The memory maximums are going to be more and more important when it comes to local AI applications.

      Take language models for an example

      To run a 30b model, you need 24gb of video ram to do it fully on the video card. That’s a nvidia 3090 or 4090 today. But in the grand scheme of things, 30b is small. They are going to get much bigger, especially when you want larger contexts which allow the AI to remember more about its interactions with you.

      Apples memory is unified, so it can be system ram, or video ram. You’ll be able to easily load a 70b model into a MacBook with 64gb of ram for example, where you’d need 2 3090s or 4090s and a hefty PSU on a current Gen non Mac PC (if you even can with just that)

      For the moment, things are better optimized for windows and nvidia hardware, but Apple is encroaching on this space, and their huge amounts of video memory will begin to unlock using and training larger and larger models with each hardware generation.

      Expect to see nvidia starting to offer higher video ram cards as well for this exact reason. Maybe even cards tailored to that instead of gaming with really high amounts of ram.

      • BetaDoggo_@lemmy.world
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        8 months ago

        I can’t see local models or hardware needing to scale much past the sizes we already have. Recent models like mistral have shown that we are still far from saturation at current model sizes.

    • holycrap@lemm.ee
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      8 months ago

      Doesn’t the m2 max allow 196gb of ram? Seems like an odd downgrade. The value in these for me is the unified memory for large ai models, but most consumers may not notice that. Who knows.

  • plz1@lemmy.world
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    8 months ago

    I built a M3 MBP just to see how much money a mxed out unit would be.

    M3 14" MBP Max chip with all the cores 128GB RAM 8TB storage

    $4700

    That’s about the cost of my last MBP and iPhone pair, two times over. At that point, why even go for a laptop, vs. what would clearly be a high end desktop station?

    • coffeebiscuit@lemmy.world
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      8 months ago

      *Wonders what a maxed out MBP costs.

      *pics the 14”…

      Maxed out 16” is $7,199.- (ex Apple care)

      Maxed out 14” is $6,899.- … (I think you missed something)

    • emptiestplace@lemmy.ml
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      8 months ago

      Am I confused, or are you confidently asserting that desktop systems are objectively superior to laptops?

      • sir_reginald@lemmy.world
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        8 months ago

        they are. (unless we’re talking about Mac only, which are not as repairable or upgradable)

        desktop allow for a far better modularity, and reparability, far more ports, PCIe expansions like sound cards, etc.

        If my screen breaks or I’d rather use a bigger one, I just buy a monitor and plug it in. If my CPU dies or is no more enough for my use case, I’ll just buy a better one while still using every other component. If I need more hard drives, I’ll just buy more SATA cables. If I need better sound, I’ll buy a sound card.

        those features are dealbreakers. laptops will never be able to compete with a real desktop.

        • dreugeworst@lemmy.ml
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          8 months ago

          Desktops are superior even if only for the better cooling options, allowing your chips to sustain higher clockspeeds for longer without the machine sounding like a jet taking off

        • alienangel@sffa.community
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          8 months ago

          Aside from all of that, desktops are also far less constrained. If you have a CPU whose performance scales well with power (ie not an M2 but maybe an M3) you can slap it in a desktop and be able to give it 500 watts of power and a giant ass cooling setup to enable that performance. You can’t do this with the physical constraints required of a laptop.

      • SchizoDenji@lemm.ee
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        8 months ago

        Are you implying they’re not? The only reason anyone even buys laptops is because PCs aren’t portable. Otherwise PCs are the best.

    • kirklennon@kbin.social
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      8 months ago

      At that point, why even go for a laptop, vs. what would clearly be a high end desktop station?

      Because you can take that high-end computer with you across the room, on a plane, or anywhere else.

      • dukk@programming.dev
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        8 months ago

        Yeah, that’s all true, but who really needs that kind of power?

        For some people it’s worth it. For most people? Probably not.

        IMHO the MacBook Airs and the M1/2 MBPs are looking pretty good right now.

        • kirklennon@kbin.social
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          8 months ago

          Yeah, that’s all true, but who really needs that kind of power?

          The people featured in the presentation: music and video production people, medical researchers, machine learning experts. The MacBook Air is their most popular notebook. The MacBook Pro is for people who actually need more (with a new lower-tier MacBook Pro added for morons who insist they need a “pro” model but really don’t).

        • bamboo@lemm.ee
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          8 months ago

          Today I sat in a meeting I didn’t care much for and was able to run my project’s unittests. They take a long time to run, like an hour and a half if run on a single thread. But with an M2 Max I can run it all in ~10 minutes or so, and the power efficiency is such that I don’t have to worry about it. I previously had an XPS 15, and it both took longer and also I could kill it in an hour doing this, so any intensive tasks like this were only for when I had wall power.

          It’s definitely not necessary for casual use, but there are definitely use cases that benefit from having a ton of power in a laptop.

    • ColeSloth@discuss.tchncs.de
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      8 months ago

      Skip apple entirely. The spec out and testing of the new Qualcomm ARM chip releasing in laptops next year looks to have the m3 beat across the board and will definitely end up at a lower price point.

    • Terevos@lemm.ee
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      8 months ago

      Just for fun, let me buy every upsell, regardless of whether I want or need it.

      And then let me compare that to the normal configuration of things I bought…

      Why don’t you compare apples to apples. Configure an M3 MBP like you would with fairly normal specs?

  • IHeartBadCode@kbin.social
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    8 months ago

    M2 release dates.

    • M2: June 24, 2022
    • M2 Pro and Max: January 17, 2023
    • M2 Ultra: June 13, 2023

    Damn Apple.

    • sugartits@lemmy.world
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      8 months ago

      I would expect those machines should have launched earlier than they did: everything was pushed back as a result of supply chain issues.

      I am making assumptions here but I’ve heard similar speculation from several places.

    • sloppy_diffuser@sh.itjust.works
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      8 months ago

      Based on my 60 seconds reading on it, onboard GPUs typically share the systems RAM. It is usually a fixed amount from my understanding. Dynamic caching seems to allow the GPU to only consume what it needs. Without knowing more, I’m guessing this means it frees up more RAM for the system instead of holding a fixed chunk in reserve for the GPU, or, on the other side, allows the GPU to use more RAM than some predetermined fixed amount.

      According to Apple’s press release, the GPUs in the new Macs are already faster and more efficient than those that came before them. But they go further thanks to their support for Dynamic Caching, a feature that “unlike traditional GPUs, allocates the use of local memory in hardware in real time.”

      What does that mean? Apple says that “with Dynamic Caching, only the exact amount of memory needed is used for each task. This is an industry first, transparent to developers, and the cornerstone of the new GPU architecture.”

      https://www.imore.com/mac/dynamic-caching-and-its-m3-chips-could-be-the-secret-to-apples-mac-gaming-plans

  • YⓄ乙 @aussie.zone
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    8 months ago

    Do we have a m3 air now? I can’t find it. I was planning to buy m2 air but now we have m3 so probably best to wait ?

  • Kaidao@lemmy.ml
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    8 months ago

    I was kinda bored for this announcement. I have a M2 Pro MBP for work and I really have no desire to get anything faster.

    I was hoping for a new iPad Mini announcement

  • set_secret@lemmy.world
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    8 months ago

    pity qualcomm has just wiped the floor with them. even with the new M3 it’s not even close I believe. please correct me if I’m wrong (who am I kidding you’re gunna correct me)

      • set_secret@lemmy.world
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        8 months ago

        the snapdragon X Elite beats the M2 by 50% so you’re wrong and it beats the M2 Max in single core too. and does so with 40% less power.

        It’s likely the M3 will rival it but it will be close by the looks of it.

        Also you’re wrong.

          • set_secret@lemmy.world
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            8 months ago

            I’m just going on what’s been reported. I believe they were running benchmarks against the M2. and we have M3 specs so it’s reasonable to make guesses. I never said it wipes the floor with the M3. it definitely does toc the standard M2, of which you seemed confidently incorrect about.

            Maybe you just angry with something and aren’t reading what I’ve written?

            anyway we’ll find out soon enough.