TurboQuant reportedly can compress AI ‘working memory’ by up to 6x, but it remains a lab experiment with no immediate commercial release. If the technique is validated and productized it could materially lower memory and compute needs for large models (reducing inference/training costs), though timelines and production readiness are uncertain.
TurboQuant reportedly can compress AI ‘working memory’ by up to 6x, but it remains a lab experiment with no immediate commercial release. If the technique is validated and productized it could materially lower memory and compute needs for large models (reducing inference/training costs), though timelines and production readiness are uncertain.
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