A new 10,000-GPU cluster in China signals a push for domestic compute scale. Nvidia also demonstrated a self-improvement loop for physical robotics to refine real-world tasks. These developments highlight a widening gap between software capabilities and hardware availability. Practitioners must track these infrastructure shifts to gauge future model training speeds.