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Google Research Releases Compression Algorithm TurboQuant to Reduce AI Model Memory Usage
Google Research released TurboQuant, a training-free compression algorithm that can compress the KV cache of large language models (LLM) to 3 bits without affecting model accuracy,...
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Google Research released TurboQuant, a training-free compression algorithm that can compress the KV cache of large language models (LLM) to 3 bits without affecting model accuracy, on Tuesday (24th), according to foreign media.

In benchmark tests on Nvidia (NVDA.US)      's H100 GPUs, compared to unquantized 32-bit keys, the 4-bit TurboQuant can increase the efficiency of computing attention logits by up to 8x, while reducing the KV cache memory by at least 6x.

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