Google reveals algorithms to address AI memory challenges; memory and storage stocks drop

Google unveils TurboQuant, PolarQuant and more to cut LLM/vector search memory use, pressuring MU, WDC, STX & SNDK.

Orbital data centers, part 1: There’s no way this is economically viable, right?

This is the first of three feature articles Ars is publishing to explore the financial, technical, and competitive dimensions ...

Nvidia’s Move Into Space Computing May Redefine AI Infrastructure

Nvidia unveils its Vera Rubin Space-1 module, aiming to power AI data centers in orbit with unlimited solar energy—marking ...