Researchers at North Carolina State University have developed a new AI-assisted tool that helps computer architects boost ...
Adarsh Mittal, a senior application-specific integrated circuit engineer, explores why many memory performance optimizations ...
Large language models (LLMs) aren’t actually giant computer brains. Instead, they are massive vector spaces in which the ...
The big picture: Google has developed three AI compression algorithms – TurboQuant, PolarQuant, and Quantized Johnson-Lindenstrauss – designed to significantly reduce the memory footprint of large ...
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 ...
Google said this week that its research on a new compression method could reduce the amount of memory required to run large language models by six times. SK Hynix, Samsung and Micron shares fell as ...
Micron is expected to report 148% revenue growth for the February quarter as average selling prices surge 32% quarter over quarter. The memory provider's stock has soared thanks to a shortage brought ...
Even if you don’t know much about the inner workings of generative AI models, you probably know they need a lot of memory. Hence, it is currently almost impossible to buy a measly stick of RAM without ...
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