Alphabet's TurboQuant algorithm significantly reduces memory requirements for running AI models, potentially disrupting memory chip demand.

Alphabet developed TurboQuant, a new algorithm that decreases the amount of memory needed to operate AI systems

The innovation could reduce demand for memory chips, traditionally supplied by companies like Micron

Lower memory requirements make AI more efficient and potentially more accessible for deployment at scale

The advancement represents competitive pressure in the AI hardware and optimization space