• utopiah@lemmy.ml
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    14 hours ago

    It’s bad, OK, I’m not trying to remove any blame or criticism for the situation.

    That being said, what actual normal usage for a normal person (not a National Geographic 8K stereo 360 video editor or a developer compiling Firefox daily) needs a lot, say more than 16GB, of RAM?

    Again I’m not trying to find a way to accept a bad situation, only to see which actual usages are in trouble because honestly I don’t see any.

    • BJW@lemmus.org
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      6 hours ago

      Hosting an accurate AI locally typically takes 24GB of VRAM. Not having sufficient VRAM makes you reliant on remote models as a paid service. You pay many more times for tokens what you could pay for RAM just once for limitless tokens.

      • utopiah@lemmy.ml
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        4 hours ago

        Same, that’s not a normal usage. Spending a lot of time on Lemmy/Reddit/HackerNews tech community might lead to believe running a local model is normal but very few people do. When they do it’s typically on GPUs or Mac precisely for their unified memory architecture… but it’s not a normal setup even for gamers. Also typically it’s to tinker locally and learn from than actually productivity. I’m repeating here, I’m not saying it’s not an interesting use case for some, just not what most people do.

  • B0rax@feddit.org
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    19 hours ago

    Sure they say it so that you buy memory now and don’t wait until the price becomes lower

    • just another dev@lemmy.my-box.dev
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      21 hours ago

      You should though.

      Not only do they have an interest, they are also in control of that price. And any other supplier is exactly in the same boat. When supply is lower than demand, prices go up, it’s economics 101.