“The new device is built from arrays of resistive random-access memory (RRAM) cells… The team was able to combine the speed of analog computation with the accuracy normally associated with digital processing. Crucially, the chip was manufactured using a commercial production process, meaning it could potentially be mass-produced.”
Article is based on this paper: https://www.nature.com/articles/s41928-025-01477-0
It can be 1000x faster because it analog. Analog things take very very little time to compute stuff. We don’t generally use them because they are very hard to get the same result twice and updating is also hard
The fun thing is, for LLM you don’t need perfectly repeatable result. It won’t speed up training but running the chips could be significantly cheaper with that kind of tech. Veritasium had a video about it a couple of years back, before the ai craze.
link thanks
" Future Computers Will Be Radically Different (Analog Computing)" - https://www.youtube.com/watch?v=GVsUOuSjvcg