The provided text offers a technical analysis of the Huawei AI supernode, specifically examining the Ascend 910C processor and the CloudMatrix 384 system. Due to international trade restrictions on advanced chip fabrication, Huawei has adopted a strategy of system-level scaling to compete with NVIDIA’s high-end hardware. By interconnecting 384 NPU chips via an all-optical Unified Bus, the system achieves superior memory capacity and cluster-level performance despite trailing in individual chip power and energy efficiency. The report highlights that while the 910C lacks modern data formats like FP8, its massive scale-up domain makes it uniquely suited for specific large-scale AI models. Ultimately, the documentation underscores a shift from semiconductor-driven progress to engineering-driven stacking to overcome physical and political manufacturing barriers.