Google's new TurboQuant algorithm speeds up AI memory 8x, cutting costs by 50% or more

Within 24 hours of the release, community members began porting the algorithm to popular local AI libraries like MLX for ...

IndexCache, a new sparse attention optimizer, delivers 1.82x faster inference on long-context AI models

Researchers at Tsinghua University and Z.ai built IndexCache to eliminate redundant computation in sparse attention models ...
DIGITIMES

In-depth: Google TurboQuant cuts LLM memory 6x, resets AI inference cost curve

Google has introduced TurboQuant, a compression algorithm that reduces large language model (LLM) memory usage by at least 6x ...
NewsBytes

Google unveils TurboQuant cutting inference memory sixfold, chip stocks tumble

Google's new algorithm, TurboQuant, significantly reduces AI model memory needs, causing a drop in stocks of major memory chip manufacturers like Samsung.

Alphabet Just Crashed The Memory Trade: Sandisk Looks Like The Winner (Upgrade)

Sandisk Corp.’s NAND thesis stays strong. Learn why the SNDK stock dip may be headline-driven and why it could retest highs.
WinBuzzer

Google’s TurboQuant Algorithm Slashes LLM Memory Use by 6x

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