谷歌推出TurboQuant算法，通过PolarQuant和QJL技术，将大语言模型推理中的键值缓存内存需求降低至少6倍，在H100 GPU上注意力计算速度提升最高8倍，且保持零精度损失。这一突破有望降低AI部署成本，加速长上下文应用发展。
谷歌推出TurboQuant技术，通过压缩KV缓存，有效解决大语言模型推理中的内存瓶颈问题，可在不降低精度的前提下大幅减少内存占用，提升处理长文本和复杂任务的效率。
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