六年后再次面对禁令，华为云有了更多底气

Core Viewpoint - The article discusses the competitive landscape of AI computing power, highlighting Huawei's CloudMatrix 384 super node technology as a significant advancement in the face of U.S. export controls on advanced chips, particularly targeting Huawei's Ascend AI chips [2][4][19]. Group 1: U.S. Export Controls and Market Dynamics - On May 13, the U.S. Department of Commerce announced a global ban on Huawei's Ascend AI chips, expanding the ban to all advanced computing ICs from China [2]. - Despite these restrictions, the U.S. tech industry, particularly NVIDIA, is still eager to tap into the Chinese AI market, as evidenced by NVIDIA's announcement of a large order from Saudi Arabia on the same day the ban was issued [2][3]. - The performance degradation of NVIDIA's H20 GPU, which will see a reduction in INT8 precision computing power by over 60%, raises questions about the viability of continued sales to China [3][4]. Group 2: Huawei's Technological Advancements - Huawei's CloudMatrix 384 super node technology can aggregate 384 Ascend computing cards to achieve a computing power of 300 PFlops, rivaling the performance of NVIDIA's H100 GPU [4][13]. - The technology features a new high-speed bus network that enhances inter-card bandwidth by over 10 times, allowing for near-lossless data flow between cards, thus improving training efficiency to nearly 90% of NVIDIA's single-card performance [13][14]. - The CloudMatrix 384 super node is designed to support large-scale expert parallelism, making it compatible with current mainstream models like DeepSeek and GPT [14]. Group 3: Competitive Landscape and Industry Trends - The super node technology represents a critical solution to global AI computing power challenges, with various companies, including NVIDIA and AMD, developing their own versions of super node architectures [15][16]. - Huawei's CloudMatrix 384 is currently the only commercially available large-scale super node cluster globally, having been deployed in Wuhu data center [17]. - The article emphasizes the importance of a comprehensive AI infrastructure that integrates hardware, software, and services, positioning Huawei as a leader in this domain [21][25]. Group 4: Broader Implications and Future Outlook - The ongoing U.S. technology blockade has inadvertently accelerated China's advancements in chip manufacturing and AI technologies, as noted by Bill Gates [19][21]. - The article concludes that modern AI competition is not just about individual chips or models but requires a holistic approach that encompasses a complete ecosystem of hardware and software solutions [21][24].