The U.S. Tried To Keep AI Chips From China. The Cloud Created A Loophole
For four years, America's strategy to slow China's AI progress rested on a simple premise: control the silicon, control the outcome. Stop the chips at the border, and the models can't be built.
Washington is now quietly conceding that premise has failed.
The Trump administration’s Commerce Department is drafting a new export control rule that would, for the first time, target not the physical movement of chips but remote access to them — blocking Chinese AI firms from renting Nvidia GPU compute through data centers in third countries such as Thailand and Singapore, The Information reported last week. A draft could be circulated to industry groups as early as September.
The shift sounds technical. It is actually an admission: the chip war's physical front has been breached, and the battle is moving to a layer of the stack that U.S. law was never built to police.
The Model That Broke The Illusion
The proximate cause is a Chinese startup. In July, Moonshot AI released Kimi K3, a 2.8-trillion-parameter model whose performance came uncomfortably close to leading American systems.
White House Office of Science and Technology Policy director Michael Kratsios publicly alleged that Moonshot trained the model by accessing Nvidia GB300-equipped servers located in Thailand — and that the company had built what he described as a sophisticated internal platform for large-scale distillation of U.S. models, switching between access channels to avoid detection. Moonshot has not publicly responded to the accusations.
Whether or not every claim holds up, the strategic implication does. Chinese hyperscalers — ByteDance, Alibaba and Tencent among them — have reportedly tapped Nvidia compute........
