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Alphabet's new TurboQuant AI algorithm cuts memory costs by six times and boosts speeds eightfold.
Alphabet has introduced a new AI memory compression algorithm called TurboQuant.
The technology reduces computational costs by cutting key-value cache memory needs by at least six times and boosting speeds up to eightfold without sacrificing data quality.
This advancement strengthens Alphabet's existing cost advantages derived from its custom-built chips and AI models, potentially solidifying its leadership in the AI sector.
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El nuevo algoritmo TurboQuant AI de Alphabet reduce los costos de memoria en seis veces y aumenta las velocidades ocho veces.