Large language models (LLMs) aren’t actually giant computer brains. Instead, they are massive vector spaces in which the ...

The company is being misunderstood as a secular growth story rather than a cyclical commodity producer. Even though the ...

It doesn't take a genius to figure out that making memory for AI datacenters is way more profitable than making it for your gaming rig and that most of these big companies are not coming back to the ...

Nvidia (NASDAQ:NVDA) remains the undisputed heavyweight champ of AI chips, and CEO Jensen Huang seems to be ready to keep ...

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

For those not in the know, TurboQuant’s basic trick is to squeeze memory usage so LLMs can run on accelerators while using less memory. TurboQuant’s trick is squeezing the key value cache, the ...

Google's TurboQuant combines PolarQuant with Quantized Johnson-Lindenstrauss correction to shrink memory use, raising ...

When Google unveiled TurboQuant on March 24, headlines declared the algorithm could slash AI memory use sixfold with zero ...

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 Apple Silicon and llama.cpp.

Bernstein upgrades Western Digital and raises targets on Seagate and Sandisk after Google's TurboQuant algorithm sparked a ...

Google's AI lab just released its own version of DeepSeek, causing Micron to sell off last week.