Anthropic in early talks to buy DRAM-less AI inference chips from UK startup — Fractile's SRAM architecture reduces need for pricey memory during extreme pricing and shortage crunch
Anything that reduces the footprint of LLM's is welcome, however...
making LLM compute cheaper in datacentres won't mean lower total power/cooling/space/water consumption, like adding lanes and traffic, it will just mean more usage as it gets cheaper (and a short-term bump in margins for the LLM owners)
these are still highly dedicated chips that are always going to be bound up in the mega-scale datacentre deployments
what happens if there is a paradigm shift in the exact compute architecture? Loads of junk servers and no applications able to make use of such a glut
these do nothing to push LLMs out of the datacenter and into non-corporate hands, which is the only spot where we might see fewer privacy concerns, less corporate control etc
If we're stuck with the current compute/corporate paradigms, at least alternatives nibling at the unhealthy dominance of nVidia and the cloud giants is some small benefit.
1 Comments
cyrl@lemmy.world · 1 pts · 109d
Anything that reduces the footprint of LLM's is welcome, however...
If we're stuck with the current compute/corporate paradigms, at least alternatives nibling at the unhealthy dominance of nVidia and the cloud giants is some small benefit.