In brief

• Google said its TurboQuant algorithm can cut a major AI memory bottleneck by at least sixfold with no accuracy loss during inference.
• Memory stocks including Micron, Western Digital and Seagate fell after the paper circulated.
• The method compresses inference memory, not model weights, and has only been tested in research benchmarks.

Google Research published TurboQuant on Wednesday, a compression algorithm that shrinks a major inference-memory