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

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

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

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

Google's new TurboQuant algorithm drastically cuts AI model memory needs, impacting memory chip stocks like SK Hynix and Kioxia. This innovation targets the AI's 'memory' cache, compressing it ...

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

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

Google's TurboQuant algorithm compresses LLM key-value caches to 3 bits with no accuracy loss. Memory stocks fell within ...

Alphabet Inc. Google rattled global memory stocks after unveiling its TurboQuant AI algorithm, triggering a sharp sell-off amid fears that improved efficiency could dampen demand for memory chips.

Investors should know the difference between AI training and AI inference.

The message from Nvidia chief Jensen Huang at GTC this week is that AI is no longer about models or chips alone, but about ...