"We have already discussed TurboQuant in a previous post; it is a KV cache compression algorithm that, in summary, reduces memory requirements in AI workloads by up to 6x. The paper, released by Google, suggested that there isn't a noticeable difference in long-context workload once the compression layer is applied, implying that the world won't need memory as desperately as it does right now, but many experts have denied this claim.
If you could reduce memory requirements in any way, that would open up further opportunities for manufacturers to ramp up production of their DRAM products, since we know the current supply chain is severely bottlenecked. As for the above reduction in memory prices, it could be triggered by an inventory sell-off following TurboQuant's unveiling, given the industry-wide reaction to the algorithm has been pretty aggressive. That's just an assumption for now. For now, gamers looking for memory for their builds could refer to the deals we just mentioned above."