A new 10,000-GPU cluster in China signals a push to bypass hardware restrictions. Meanwhile, NVIDIA tested a self-improvement loop for robotics to automate real-world learning. These developments highlight a widening gap between software agility and hardware availability. Practitioners should monitor how these clusters affect training efficiency for large-scale multimodal models.