Memory prices are plunging and stocks in memory companies are collapsing following news from Google Research of a ...

SK Hynix, Samsung and Micron shares fell as investors fear fewer memory chips may be required in the future.

Google unveils TurboQuant, PolarQuant and more to cut LLM/vector search memory use, pressuring MU, WDC, STX & SNDK.

Google's new TurboQuant algorithm could slash AI working memory by 6x, but don't expect it to fix the broader RAM shortage ...

Google introduces TurboQuant, a compression method that reduces memory usage and increases speed ...

Memory stocks fell Wednesday despite broader technology sector strength, with shares dropping after Google unveiled ...

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

Alphabet's TurboQuant technology could reduce AI memory needs by six times, the company said. Memory chip stocks fell sharply ...

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