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

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

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

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

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

Micron's shares are down after a new algorithm from Google spurred fears that memory demand could slow.

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

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

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

Google’s TurboQuant cuts KV cache memory, but Morgan Stanley says cheaper AI inference will boost demand for DRAM/storage.

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