Nvidia targets China's AI workarounds by imposing strict limits - TechRadar

This is not a policy tweak—it is a structural decoupling confirmation. Nvidia's move to close the compliance gray zone in China's AI compute stack signals the definitive end of the H800/A800 'legal-but-limited' era. The technical cascade is far more damaging than raw FLOPS figures suggest: as chiplet partitioning and bandwidth-capping workarounds get squeezed, Chinese AI labs lose not just throughput but the hardware-algorithm co-design feedback loop that underpins CUDA's fifteen-year moat. On the supply chain, downstream buyers now face a binary: accept 40-60% performance degradation or pivot to Huawei Ascend and domestic 7nm nodes, where yield rates and EDA tooling remain the binding constraints. Competitively, AMD's MI300X window is narrowing as Beijing's procurement committees consolidate around a single domestic vendor to reduce geopolitical exposure. The 12-to-24-month trajectory is already legible: two incompatible AI compute ecosystems will harden, Nvidia's China revenue share will compress below 5% of its total, and advanced packaging capacity will become the critical bottleneck determining whether China's sovereign AI stack reaches near-parity by 2027. The question is no longer whether bifurcation happens—it is which ecosystem's software gravity wins the developer mindshare war.