Firm predicts it will cost $28 billion to build a 2nm fab and $30,000 per wafer, a 50 percent increase in chipmaking costs as complexity rises

Comments

• toiletobserver@lemmy.world ⁨10⁩ ⁨months⁩ ago

  Or, and hear me out, we could just write less shitty software…

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  • the_q@lemmy.world ⁨10⁩ ⁨months⁩ ago

    You’re right. This is the biggest issue facing computing currently.

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  • winterayars@sh.itjust.works ⁨10⁩ ⁨months⁩ ago

    But what if i want to do all my work inside a JavaScript “application” inside a web browser inside a desktop?

    (We really do have do much CPU power these days that we’re inventing new ways to waste it…)

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  • TacoButtPlug@sh.itjust.works ⁨10⁩ ⁨months⁩ ago

    But there’s the fun in that?

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  • SynonymousStoat@lemmy.world ⁨10⁩ ⁨months⁩ ago

    As long as we have humans have some hand in writing and designing software we’ll always have shitty software.

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    • AA5B@lemmy.world ⁨10⁩ ⁨months⁩ ago

      While I agree with the cynical view of humans and shortcuts, I think it’s actually the “automated” part of the process to blame. If you develop an app, there’s only so much you can code. However if you start with a framework, now you’ve automated part of your job for huge efficiency gains, but you’re also starting off with a much bigger app and likely lots of functionality you aren’t really using

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• filister@lemmy.world ⁨10⁩ ⁨months⁩ ago

  And NVIDIA will use this as an excuse to hike up their prices 100+%.

  On a serious note, this will progressively come down in price as time passes, plus not everyone needs to use 2nm cutting edge technology. Plus transition to 2nm will also increase the density, so comparing wafer prices without acknowledging the increased density is not giving you the whole picture.

  Plus DRAM scaling is becoming cumbersome and a lot more components cannot scale to 2nm, so 2nm is mostly a marketing term, and there are a lot of challenges that make this tech so expensive and difficult to design and produce.

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• drmoose@lemmy.world ⁨10⁩ ⁨months⁩ ago

  Afaik 2nm is the theoretical limit for current transistor tech so this sort of end-game for this type of tech.

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  • Earthwormjim91@lemmy.world ⁨10⁩ ⁨months⁩ ago

    2nm process doesn’t actually mean 2nm though. Hasn’t in over a decade.

    The current 3nm process has a 48nm gate pitch and a 24nm metal pitch. The 2nm process will have a 45nm gate pitch and a 20nm metal pitch.

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    • SpaceNoodle@lemmy.world ⁨10⁩ ⁨months⁩ ago

      Where can I read more about this?

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    • weew@lemmy.ca ⁨10⁩ ⁨months⁩ ago

      Intel already has plans to name the further generations xxA, after Angstroms

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    • AA5B@lemmy.world ⁨10⁩ ⁨months⁩ ago

      Yeah I’m a bit curious what the marketing will be as they have to get more vertical, 3D. Epwill there be naming to reflect that or will they just follow existing naming, 0.5nm?

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  • terminhell@lemmy.world ⁨10⁩ ⁨months⁩ ago

    I didn’t think the ~5nm limit could be broke due to quantum tunneling.

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    • BetaDoggo_@lemmy.world ⁨10⁩ ⁨months⁩ ago

      They solved this problem by making the nanometer bigger.

      en.m.wikipedia.org/wiki/5_nm_process

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    • foggy@lemmy.world ⁨10⁩ ⁨months⁩ ago

      This was my understanding as well: That beyond ~7nm the reliability begins to lose value because the diameter of an electron ‘orbit’ or whatever becomes a factor.

      Admittedly I’m not an expert. But my understanding was that to break this limitation and keep Moore’s law were kinda leaning into quantum computation to eventually fill the incoming void.

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• OrangeCorvus@lemmy.world ⁨10⁩ ⁨months⁩ ago

  Your device will be 11% faster and the battery will last 6% more but it will dramatically change the way you interact with your device.

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  • AA5B@lemmy.world ⁨10⁩ ⁨months⁩ ago

    F it’s enough to run on-device ai, it’s a win. I agine autocorrect being able to mangle your texting without ever connecting to the cloud. Huge prvacy win

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    • ExLisper@linux.community ⁨10⁩ ⁨months⁩ ago

      Autocorrect doesn’t send anything to the cloud, it’s just a dictionary. If your keyboard is sending your texts to the cloud you have to change your keyboard, not run AI. AI doesn’t do autocorrect, it could maybe do word suggestions but would be super inefficient at it and probably not much better than current methods.

      I’m writing thins on a 22 nm CPU and the letter appear hella fast.

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    • Yearly1845@reddthat.com ⁨10⁩ ⁨months⁩ ago

      I’ve read that analog chips will takeover AI computations

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  • billwashere@lemmy.world ⁨10⁩ ⁨months⁩ ago

    And cost 4000% more.

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• profdc9@lemmy.world ⁨10⁩ ⁨months⁩ ago

  Not so far fetched:

  “I predict in 100 years computers will be twice as powerful, 10,000 times larger, and only the five richest kings of Europe will own one.”

  www.youtube.com/watch?v=ykxMqtuM6Ko

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• Sensitivezombie@lemmy.zip ⁨10⁩ ⁨months⁩ ago

  Use that money to speed the process of quantum computing so it will make these transistor chips obsolete

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  • QuadratureSurfer@lemmy.world ⁨10⁩ ⁨months⁩ ago

    Quantum computing wouldn’t make these transistors obsolete.

    Quantum computing is only really good at very specific types of calculations. You wouldn’t want it being used for the same type of job that the CPU handles.

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    • ExLisper@linux.community ⁨10⁩ ⁨months⁩ ago

      So it will not run vim?

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  • BetaDoggo_@lemmy.world ⁨10⁩ ⁨months⁩ ago

    Quantum computing is useless in most cases because of how fragile and inaccurate it can be, due in part to the near zero temperatures they are required to operate at.

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