Markov Robotics Uses Modal to Run End-to-End Robot Training

Markov Robotics is training a world model for zero-shot general-purpose robot dexterity, using fewer than ten hours of robot data where comparable results typically need thousands of hours. The company runs nearly all its compute on Modal, from preprocessing hundreds of terabytes of video to 2–10 concurrent training runs and remote inference via Modal Tunnels at roughly 20 milliseconds round-trip latency. Preprocessing that could take a full day completes in twenty to thirty minutes, with fan-out to upwards of 500 GPUs at once.