Google Unveils TurboQuant Compression Algorithm Recently, Google introduced a new compression algorithm known as TurboQuant.

Google's TurboQuant combines PolarQuant with Quantized Johnson-Lindenstrauss correction to shrink memory use, raising ...

With TurboQuant, Google promises 'massive compression for large language models.' ...

Google's TurboQuant algorithm compresses LLM key-value caches to 3 bits with no accuracy loss. Memory stocks fell within ...

Google’s TurboQuant has the internet joking about Pied Piper from HBO's "Silicon Valley." The compression algorithm promises to shrink AI’s “working memory” by up to 6x, but it’s still just a lab ...

Google has announced TurboQuant, a highly efficient AI memory compression algorithm, humorously dubbed 'Pied Piper' by the internet community.

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 ...

Google thinks it's found the answer, and it doesn't require more or better hardware. Originally detailed in an April 2025 ...

A small error-correction signal keeps compressed vectors accurate, enabling broader, more precise AI retrieval.

The Google Research team developed TurboQuant to tackle bottlenecks in AI systems by using "extreme compression".