Whoa, new options! I'm downloading the Quantum RAM with Haptic Feedback.
I beg to differ on point b, but no one is delaying their next model just so they can concentrate on optimization.
It’s coming though.
One example: https://siliconangle.com/2026/07/28/ai-model-compression-sta...
Another is separating the the intelligence part of the model from the known facts part of the model (which can be better compressed)
Model quantization and model distillation are two techniques to reduce model size.
The phoronix article is better, and I say that as someone who usually detests the quality of phoronix's technical writing.
NUMA maps a lot closer to what compressed RAM actually is. The subsystem is more aware of CRAMs specifics so it can make better decisions about where to put allocations and everything gets faster. And it's less overhead because swap is not really optimized for frequent direct access but for NUMA it's the most basic function.
https://www.youtube.com/@LinuxPlumbersConference
not sure where it falls in the schedule here either https://lpc.events/event/20/timetable/#all
Kevin_Flynn•6h ago
https://winworldpc.com/product/connectix-ram-double/windows-...
Nice to see its back, with better performance.
History repeated, with refinement.