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 ...

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.” [ ...

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

Researchers have developed a holographic data storage approach that stores and retrieves information in three dimensions by ...

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

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

The technique reduces the memory required to run large language models as context windows grow, a key constraint on AI ...

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