Vector quantization, stock dips & RAMageddon – the real story behind how a memory compression algorithm went viral ...

Large language models (LLMs) aren’t actually giant computer brains. Instead, they are massive vector spaces in which the probabilities of tokens occurring in a specific order is encoded. Billions of ...

Is TurboQuant a silicon bullet to solve the RAM crisis? No, it isn't, and if you were hoping that the compression algorithm that Google recently announced would be a major turning point for AI ...

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Companies running large language models face a persistent bottleneck: the memory consumed by key-value caches during inference grows with every token generated, forcing operators to choose between ...

AI has a growing memory problem. Google thinks it's found the answer, and it doesn't require more or better hardware. Originally detailed in an April 2025 paper, TurboQuant is an advanced compression ...

Google LLC has unveiled a technology called TurboQuant that can speed up artificial intelligence models and lower their memory requirements. Amir Zandieh and Vahab Mirrokni, two of the researchers who ...

Even if you don’t know much about the inner workings of generative AI models, you probably know they need a lot of memory. Hence, it is currently almost impossible to buy a measly stick of RAM without ...

In March 2026, Google Research announced ' TurboQuant ' as one of a new suite of compression technologies for large-scale language models and vector search engines. To visually understand what ...