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

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

Those fears came as Micron investors were already concerned about the company's rising capital expenditures and the market's ...

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.” [ ...

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

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.

Google’s publicly released ‘Turbo Quant (Turbo Quant)’ paper is generating buzz in the semiconductor industry. This is an ...

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 introduced an algorithm that it says improves memory usage in AI models. Whether that will actually eat into business for Micron and rivals is unclear. Micron's stock was down about 3% on ...