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

The compression algorithm works by shrinking the data stored by large language models, with Google’s research finding that it can reduce memory usage by at least six times “with zero accuracy loss.” [ ...

A more efficient method for using memory in AI systems could increase overall memory demand, especially in the long term.

Google LLC has unveiled a technology called TurboQuant that can speed up artificial intelligence models and lower their ...