this post was submitted on 02 Aug 2023
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TechTakes
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Big brain tech dude got yet another clueless take over at HackerNews etc? Here's the place to vent. Orange site, VC foolishness, all welcome.
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well running ai on consumer gpus isn't supposed to be efficient: i assume when node sizes get smaller cores will be more efficient and consolidating vram (and gpu cores) on one big circuit board would be cost effective: just cores running fp16 or whatever ai specific. gpus like the a6000 exist for a reason. tbh pessimistic (or misleading) take on op's part. the thing could replace lawyering jobs, save on grafic design costs, no more language teachers, youtube videos can be transribed in text format and used as learning material, why should this be bad tech ?
@zoe @Instrument_Data This dependence on progress in semiconductor processes makes me wonder...
Up until now, this industry has always managed to surpass itself, but one suspects that we'll eventually reach a physical wall.
This RTX 4090 uses one of the world's 3 thinnest processes currently in production: TSMC's 4N. This makes transistor gates as long as 35 silicon atoms.
How much lower can we hope to go? 20 atoms? 10 ? 5 ?
idk, vram is also inefficient since it wastes heat too (since its a variation of dram which implies that it combines a transistor and a capacitor, and a transistor dissipates heat).
alot of stuff need to witness a significant upgrade to cut down on Joule's effect.
now process nodes require 2 years to go down 0.5 nm in size, and probably 4 years when smaller
yeah… you were amusingly stupid before but now you’re just posting marketing bullshit on my instance and pretending it’s engineering. off you fuck
are you two lost?
they even brought a fucking chart they clipped from some marketing fluff, what the fuck are they even doing with their time
bonus round: I made the mistake of clicking chartposter's profile
a stark reminder of how much I don’t miss Reddit