Industry Analysis
Jensen Huang’s inclusion of China in the $200B CPU forecast is a tacit acknowledgment that AI compute demand persists despite export curbs. Technically, Vera CPUs’ low-latency token processing will force software stacks to shift from GPU-centric to heterogeneous scheduling, disrupting EDA and compiler ecosystems. Compliance-wise, even with U.S. H200 approvals, pending Chinese clearances reveal bidirectional regulatory risk—forcing firms to build buffer inventories and localized fallbacks. Competitively, Huawei Ascend, Cambricon, and Alibaba’s Pingtouge will likely accelerate integrated CPU-AI accelerator designs, while AWS and Azure may fast-track custom ARM chips to sidestep controls. Over the next 18 months, the real long-tail effect is bifurcation: global AI deployments will split into 'compliant' and 'performance-optimized' tracks, pushing China’s supply chain toward accelerated adoption of chiplet and advanced packaging as workarounds for restricted EUV access below 3nm.
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