The biggest memory burden for LLMs is the key-value cache, which stores conversational context as users interact with AI ...

We have seen the future of AI via Large Language Models. And it's smaller than you think. That much was clear in 2025, when ...

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 ...

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

Workers are not just selling labor. They are selling ideas. The law should require that they are told which ones.

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

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

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

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 ...

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