谷歌推出TurboQuant算法，通過PolarQuant和QJL技術，將大語言模型推理中的鍵值緩存內存需求降低至少6倍，在H100 GPU上注意力計算速度提升最高8倍，且保持零精度損失。這一突破有望降低AI部署成本，加速長上下文應用發展。
谷歌推出TurboQuant技術，通過壓縮KV緩存，有效解決大語言模型推理中的內存瓶頸問題，可在不降低精度的前提下大幅減少內存佔用，提升處理長文本和複雜任務的效率。
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