Active storage devices further improve their performance by executing “intelligence functions,” such as prefetching and data deduplication, in addition to handling the usual I/O requests they receive. Significant research has been carried out to develop effective intelligence functions for the active storage devices. However, laborious and time-consuming efforts are usually required to set up a suitable experimental platform to evaluate each new intelligence function. Moreover, it is difficult to make such prototypes available to other researchers and users to gain valuable experience and feedback. To overcome these difficulties, we propose , a virtual machine (VM)-based platform for evaluating intelligence functions of active storage devices. The VM-based structure of enables the evaluation of new (and existing) intelligence functions for different types of OSes and active storage devices with little additional effort. also supports real-time execution of intelligence functions, providing users opportunities to experience latest intelligence functions without waiting for their deployment in commercial products. Using a set of interesting case studies, we demonstrate the utility of with negligible performance overhead except for the VM’s virtualization overhead.