In many SDL applications, researchers have access to multiple robotic or computational workers and may parallelize measurements. When performing batched BO in a setting where there is variability in measurement times for each individual experiment, it is important to operate an SDL asynchronously, where a worker starts a new experiment immediately after completion of the previous experiment. This approach has been shown to be overall more efficient than waiting for an entire batch of experiments to complete before commencing the next batch. We provide template scripts for an asynchronous SDL setup on our GitHub repo. In this example, we optimize a surface from Olympus using 3 workers, each of which can perform a measurement for a single set of parameters.