Comment by konaraddi
3 hours ago
> applying this compression algorithm at scale may significantly relax the memory bottleneck issue.
I don’t think they’re going to downsize though, I think the big players are just going to use the freed up memory for more workflows or larger models because the big players want to scale up. It’s a cat and mouse race for the best models.
It will also help with local inference, making AI without big players possible.
Known in the business as 'pulling a jevons'