Google’s TurboQuant Compression Could Increase Demand For AI Memory

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

Google unveils TurboQuant, a new AI memory compression algorithm — and yes, the internet is calling it ‘Pied Piper’

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

Nvidia says it can shrink LLM memory 20x without changing model weights

Nvidia's KV Cache Transform Coding (KVTC) compresses LLM key-value cache by 20x without model changes, cutting GPU memory ...
AOL

New memory structure helps AI models think longer and faster without using more power

Researchers from the University of Edinburgh and NVIDIA have introduced a new method that helps large language models reason more deeply without increasing their size or energy use. The work, ...
SDxCentral

TurboQuant: Did Google just drop a compression algorithm capable of stemming RAMageddon?

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

ZeroPoint’s nanosecond-scale memory compression could tame power-hungry AI infrastructure

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 ...