Google's new TurboQuant algorithm speeds up AI memory 8x, cutting costs by 50% or more

VentureBeat
Mar 25, 2026, 3:27 pm112 pts
As Large Language Models (LLMs) expand their context windows to process massive documents and intricate conversations, they encounter a brutal hardware reality known as the "Key-Value (KV) cache bottleneck." Every word a model processes must be stored as a high-dimensional vector in high-speed memory. For…

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