A new 10,000 GPU cluster in China pushes the boundaries of domestic compute capacity. Meanwhile, NVIDIA is testing self-improvement loops for robotics to automate real-world learning. These developments highlight the escalating arms race in hardware and agentic autonomy. Practitioners should monitor how these clusters impact model training efficiency and accessibility.