A common compromise for solving real-time issues is a hierarchical architecture: a large model outputs high-level subgoals or action chunks at low frequency (such as 1 to 5 Hz), and then a lightweight low-level controller executes at high frequency with real-time corrections; another path is on-device deployment, moving inference onto the robot body itself through model quantization, pruning, and dedicated accelerators.