Everyone Thought Google’s TurboQuant Would Solve the Memory Crisis, But SK Hynix Says It Will Only Make It Worse

Google’s TurboQuant is designed to compress KV cache and reduce memory use in AI workloads.

But SK Hynix CFO Kim Woo-hyun said such efficiency gains are likely to expand AI usage and total memory demand.

That means the memory market may stay tight as broader AI adoption offsets any per-query savings.

The takeaway: AI software optimization may not relieve the memory shortage and could keep DRAM prices under pressure.