Google’s TurboQuant has the internet joking about Pied Piper from HBO's "Silicon Valley." The compression algorithm promises ...

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

Google has unveiled a new memory-optimization algorithm for AI inferencing that researchers claim could reduce the amount of ...

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

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

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.” [ ...

Micron Technology and Sandisk stocks have been dented and TurboQuant could be one of the reasons.

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

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

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

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

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