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

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

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

Sandisk and other memory processor companies have enjoyed strong demand for their products as tech giants have i ...

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

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.” [ ...

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

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

Google thinks it's found the answer, and it doesn't require more or better hardware. Originally detailed in an April 2025 paper, TurboQuant is an advanced compression algorithm that’s going viral over ...