Dreamscale Labs argues that robot AI models are growing larger while onboard computing is becoming harder to afford. Its bet is to move inference—the processing that runs those models—to the cloud. The company says it is optimizing for low latency across models, GPU kernels and networks, aiming to keep cloud-based processing fast enough for robot motion.