英伟达GPU在大语言模型内存缓存中以键值对形式存储向量——KV缓存——采用多层结构分层存储,最终延伸到网络连接的SSD存储。向量是大语言模型处理项目(词语、图像、视频帧、声音)的多维特征编码值,用于语义搜索以响应输入请求。这些请求本身也会被向量化,大语言模型处理它们并在向量存储中查找元素来构建响应。这些元素是存储在GPU高带宽内存中的键值对,作为KV缓存。当特定响应会话所需的向量大于可用GPU内存...
Source Link英伟达GPU在大语言模型内存缓存中以键值对形式存储向量——KV缓存——采用多层结构分层存储,最终延伸到网络连接的SSD存储。向量是大语言模型处理项目(词语、图像、视频帧、声音)的多维特征编码值,用于语义搜索以响应输入请求。这些请求本身也会被向量化,大语言模型处理它们并在向量存储中查找元素来构建响应。这些元素是存储在GPU高带宽内存中的键值对,作为KV缓存。当特定响应会话所需的向量大于可用GPU内存...
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