（文章来源：每日经济新闻） 华泰证券认为，国产算力厂商产品迭代与融资进展均在加速，华为于2025全联接大会公布昇腾 Roadmap，2026年将推出昇腾950系列，同时微架构从达芬奇架构更换为 SIMD/SIMT架构，2028年计划 发布昇腾970系列，芯片的编程灵活性得以提升；沐曦与摩尔线程已提交IPO材料，9月26日摩尔线程 IPO已经过会，其他如燧原、天数智芯、壁仞等芯片产品也在政府、运营商端及行业垂类细分领域不断 落地。2026年国产算力卡国产化趋势将进一步加速，而产业链瓶颈在于上游的先进制造产能，在云厂数 据中心以及地方算力集群需求带动下，拥有先进产能的代工厂有望充分受益。 科创人工智能ETF华夏（589010）紧密跟踪上证科创板人工智能指数，覆盖全产业链优质企业，兼具高 研发投入与政策红利支持，20%涨跌幅与中小盘弹性助力捕捉AI产业"奇点时刻"。 截至2025年10月10日 13点31分，上证科创板人工智能指数下跌5.00%。成分股方面，芯原股份领跌 8.68%，恒玄科技下跌8.32%，虹软科技下跌8.15%，星环科技下跌7.53%，海天瑞声下跌7.51%。科创人 工智能ETF华夏（589010 ...

Core Insights - Huawei unexpectedly revealed its future chip roadmap during the Huawei Connect 2025 event, showcasing several new chips including the Ascend 950, 960, and 970 series for AI computing, as well as the Kunpeng 950 and 960 processors for general computing [1][3][10] Group 1: Chip Developments - The Ascend 950 series chips will support low-precision data formats and achieve computing power of 1P and 2P, enhancing training efficiency and inference throughput [3][10] - The Ascend 960 is planned to double the performance of the Ascend 950 and will support Huawei's self-developed HiF4 data format, set to launch in Q4 2027 [7] - The Ascend 970 will further enhance specifications compared to the Ascend 960, with plans for release in Q4 2028 [7] Group 2: Supernode and Cluster Innovations - Huawei introduced the Atlas 950 supernode, which will consist of 8192 Ascend 950DT chips, achieving FP8 computing power of 8E FLOPS and FP4 computing power of 16E FLOPS, set to launch in Q4 2026 [11][13] - The Atlas 960 supernode, planned for Q4 2027, will be based on 15488 Ascend 960 chips, with FP8 computing power reaching 30E FLOPS and FP4 computing power reaching 60E FLOPS [13] - The Atlas 950 SuperCluster will consist of 64 Atlas 950 supernodes, achieving FP8 computing power of 524 EFLOPS, making it the world's strongest computing cluster [18] Group 3: Software and Ecosystem Development - Huawei aims to develop a robust software ecosystem to complement its hardware, with the CANN deep learning framework and MindSpore framework serving as alternatives to NVIDIA's CUDA [21][22] - The company plans to open-source its CANN compiler and virtual instruction set interface by the end of 2025, along with the Mind series application tools [22][24] - Huawei's strategy emphasizes hardware evolution through existing chip technology while fostering an open-source ecosystem to address challenges posed by U.S. sanctions [24]