Nvidia researchers propose linear KV-cache transfer to speed handoffs between AI models

Nvidia researchers have introduced a cross-model KV-cache transfer method that maps a prefetched cache from one model into another, aiming to avoid recomputing the full conversation when agent systems switch models mid-session. According to the report, the linear mapping technique delivered 2.7x to 25x faster handoffs on compatible model pairs while preserving up to 98% of the target model’s standalone accuracy.