过去一段时间，很多人对大模型都有一个明显感受：token 总是不够用。 毕竟用户想大模型更「聪明」更连贯，上下文窗口只会越来越大。 而在模型背后，长上下文是相当「奢侈」的。用户 token 消耗翻倍，其实是模型更大的 KV cache 和更高的 ...

Nvidia researchers have introduced a new technique that dramatically reduces how much memory large language models need to track conversation history — by as much as 20x — without modifying the model ...

A new technical paper titled “Accelerating LLM Inference via Dynamic KV Cache Placement in Heterogeneous Memory System” was published by researchers at Rensselaer Polytechnic Institute and IBM. “Large ...