TLDR Tech / AI
Google's TurboQuant AI-compression algorithm can reduce LLM memory usage by 6x
Google's TurboQuant is a compression algorithm that reduces the memory footprint of large language models while also boosting speed and maintaining accuracy. It reduces the size of the key-value cache so it doesn't have to be recomputed. Early testing shows TurboQuant results in an 8x performance increase and 6x reduction in memory usage without a loss of quality. Compression techniques like TurboQuant could improve the quality of outputs of models for edge devices without having to send data to the cloud.
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