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Core Viewpoint - Huawei's Ascend is positioning itself as a competitive alternative to NVIDIA by leveraging a system-level engineering breakthrough rather than focusing solely on individual chip performance [5][12]. Technical Breakdown - The "CloudMatrix 384 Super Node" consists of 384 Ascend 910 chips and 192 Kunpeng CPUs, interconnected to function as a single efficient unit [2][4]. - Unlike NVIDIA's reliance on copper cables for inter-chip communication, Huawei has developed a fully peer-to-peer interconnect bus using optical cables, significantly enhancing data transmission efficiency [8][10]. - Huawei's approach includes advanced mathematical algorithms for scheduling, deep hardware-software collaboration, and effective thermal management, contributing to the overall performance of the Ascend system [11]. Competitive Landscape - Huawei acknowledges a gap in chip technology, as NVIDIA has advanced to 3nm processes, while Huawei's chips are still a generation behind [14]. - The software ecosystem remains a challenge, with Huawei's CANN still needing to catch up to NVIDIA's established CUDA framework [15]. - Despite these challenges, Huawei is gaining traction in the Chinese market, especially as companies adapt to domestic chips due to restrictions on NVIDIA's products [16]. Industry Dynamics - The domestic AI chip market is diversifying into three main factions: tech giants like Huawei, pure chip manufacturers, and niche players focusing on specific applications [16]. - The pressure from U.S. sanctions has inadvertently spurred growth in China's semiconductor industry, allowing companies like Huawei to innovate and optimize system performance rather than solely competing on chip specifications [16][17].