The hybrid operation mode relies on a combination of conventional computing resources and a neuromorphic, beyond von Neumann system to perform a joint real-time experiment. The interactive operation mode provides prompt feedback to the user and benefits from high experiment throughput. The performance of a custom transport-layer protocol is evaluated connecting the accelerated neuromorphic system and the computer cluster. Wire-speed performance is achieved between host and eight FPGAs ((846.7 ± 1.2) MiB/s, 94% wire speed), and between two hosts using 10-Gigabit Ethernet (> 99%) as well as 40GbE (> 99%) to explore scaling behavior. The software architecture to process neuronal network experiments at high rates is presented including measurements which address the key performance indicators. During hybrid operation, the tight coupling between both resources requires low-latency communication. Using a custom-developed software framework, an average one-way latency between two host computers connected via 10GbE is found to be (2.4 ± 0.2) μs and (8.5 ± 0.4) μs to the neuromorphic system. A hybrid experiment is designed to demonstrate the hardware infrastructure and software framework. Starting from a conventional neuronal network simulation, the experiment is gradually migrated into a time-continuous experiment which interacts between a host computer and the neuromorphic system in real time. Results of the intermediate steps and the final, hybrid operation are evaluated
