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

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.” [ ...

How lossless data compression can reduce memory and power requirements. How ZeroPoint’s compression technology differs from the competition. One can never have enough memory, and one way to get more ...

Google has published TurboQuant, a KV cache compression algorithm that cuts LLM memory usage by 6x with zero accuracy loss, ...

AI is only the latest and hungriest market for high-performance computing, and system architects are working around the clock to wring every drop of performance out of every watt. Swedish startup ...

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

Windows 11 has a habit of doing things quietly in the background and then getting blamed for them later. Memory compression is one of those features. It sounds like a gimmick and immediately gets ...

With people on the internet insisting that M1 Macs run well with minimal RAM (and the standard configs being minimal), I was wondering if anyone has a detailed explanation on how memory compression on ...

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