Forget the parameter race. Google's TurboQuant research compresses AI memory by 6x with zero accuracy loss. It's not available yet, but it points to where AI efficiency is headed.

Google has published TurboQuant, a KV cache compression algorithm that cuts LLM memory usage by 6x with zero accuracy loss, ...

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 Research recently revealed TurboQuant, a compression algorithm that reduces the memory footprint of large language ...

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 algorithm that’s going viral over ...

Within 24 hours of the release, community members began porting the algorithm to popular local AI libraries like MLX for Apple Silicon and llama.cpp.

Google unveils TurboQuant, PolarQuant and more to cut LLM/vector search memory use, pressuring MU, WDC, STX & SNDK.

Playboy founder and cultural icon Hugh Hefner's legacy of provocation and sexual liberality has been steering the online conversation since his death Wednesday night. But no matter how you feel about ...

Abstract: In the era of big data, the demand for the transmission and storage of medical images has surged, posing challenges to the limitations of traditional image compression algorithms.Deep ...

Abstract: Unmanned Aerial Vehicle (UAV) remote sensing images are characterized by high resolution, complex textures, and multi-scale ground object features, making their compression and ...