Google’s TurboQuant cuts AI memory use without losing accuracy
Google’s TurboQuant cuts AI memory use without losing accuracy 2026-03-25 at 10:24 By Anamarija Pogorelec Large language models carry a persistent scaling problem. As context windows grow, the memory required to store key-value (KV) caches expands proportionally, consuming GPU memory and slowing inference. A team at Google Research has developed three compression algorithms: TurboQuant, PolarQuant, […]
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