this post was submitted on 07 Jun 2026
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Anthropic/OpenAI may be spending more than $1000 for every $100 you pay them (ea.rna.nl)
submitted 1 day ago by Trilogy3452@lemmy.world to c/technology@lemmy.world
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[–] KRAW@linux.community 2 points 1 day ago

Improved hardware capabilities used to come very quickly (see Moore's Law and Dennard Scaling). However that trend is basically over, so getting higher performance hardware takes a lot of effort to make hardware specialized for certain tasks. That's why you see there inference accelerators like Groq, SambaNova, Cerebrus, etc. However this is hardware that still is gonna go into data centers. Something innovative has to happen on the AI side for commercial-grade models to be runnable on consumer hardware.