A new 10,000-GPU cluster in China signals a push to bypass hardware constraints. NVIDIA also demonstrated a self-improvement loop for real-world robotics to refine physical movements. These developments highlight a race for compute scale and autonomous learning. Practitioners should monitor how these clusters impact model training speeds and robotic precision.