公开资料显示，壁仞科技为国产AI芯片核心企业。公司在2025年实现了BR166芯片的量产。壁砺166L及 壁砺166M已于2025年8月开始量产，壁砺166C已于2025年12月开始量产。下一代产品BR20X预计于 2026年量产出货。 消息面上，2026年春节前后，中国国产AI大模型密集发布。壁仞科技旗舰产品壁砺166系列已完成对智 谱GLM-5、MiniMax M2.5、DeepSeek、千问Qwen3.5等头部模型的高效兼容，凭借高算力、高通用性与 全栈自研软件栈，成为支撑百模大战的核心算力底座。 壁仞科技(06082)再涨近5%，截至发稿，涨4.05%，报40.58港元，成交额3.52亿港元。 ...

高盛近日发布研报，首次覆盖壁仞科技，给予"买入"评级，目标价54港元。报告指出，受益于国内云厂 商资本开支增长、本土AI生态崛起及产品迭代升级，壁仞科技2025-2030年AI训练/推理GPU业务营收年 复合增长率有望达101%，成为把握AI算力国产化机遇的核心标的。 壁仞科技(06082)午后涨近12%，截至发稿，涨9.05%，报36.64港元，成交额2.77亿港元。 消息面上，2月10日，由上海创智学院孵化的模思智能及OpenMOSS团队正式发布并开源了MOSS-TTS Family。模型发布后，壁仞科技旗舰产品壁砺166M率先完成其中语音生成基座MOSS-TTS模型的高性 能推理部署。壁仞科技成为首家完成MOSS-TTS模型适配的国产算力厂商。 ...

Core Viewpoint - Wallen Technology (06082) has seen a significant stock increase, rising nearly 12% in the afternoon session, with a current price of 36.64 HKD and a trading volume of 277 million HKD. The company has successfully deployed the MOSS-TTS model, becoming the first domestic computing power vendor to adapt this model, which is expected to drive future growth in AI-related revenue [1][1][1]. Company Summary - Wallen Technology's flagship product, the Bili 166M, has completed the high-performance inference deployment of the MOSS-TTS model, marking a significant milestone for the company [1][1]. - The company has been recognized as the first domestic computing power vendor to adapt the MOSS-TTS model, highlighting its competitive edge in the AI sector [1][1]. Industry Summary - Goldman Sachs has initiated coverage on Wallen Technology with a "Buy" rating and a target price of 54 HKD, citing the growth in capital expenditures from domestic cloud vendors and the rise of the local AI ecosystem as key drivers for the company's future performance [1][1]. - The report projects that Wallen Technology's AI training/inference GPU business revenue will achieve a compound annual growth rate of 101% from 2025 to 2030, positioning the company as a core player in the domestic AI computing power market [1][1].

Group 1 - The core point of the article is that Biran Technology has announced the successful deployment of the MOSS-TTS model, becoming the first domestic computing power vendor to adapt this model [1] - The MOSS-TTS Family was officially released and open-sourced by the MOSS team, which was incubated by Shanghai Chuangzhi Academy [1] - Biran Technology's flagship product, Bili 166M, has completed high-performance inference deployment of the MOSS-TTS model [1]

Core Insights - Huawei's Ascend 384 supernode has made its debut, achieving a computing power of 300 Pflops through self-developed Matrix-Link technology, positioning it as a competitor to NVIDIA's latest GB200 NVL72 [1] - Domestic AI chip manufacturers are collaborating to build a robust ecosystem, with significant advancements showcased at the World Artificial Intelligence Conference [2] - The performance of domestic AI chip companies has surged, with notable revenue increases reported across the sector [2][3] Group 1: Huawei and Its Innovations - Huawei's Ascend 384 supernode has been recognized as a "treasure of the exhibition" at the World Artificial Intelligence Conference, attracting significant attention [1] - The supernode's architecture allows 384 cards to operate as a single computer, showcasing its advanced capabilities [1] - The deployment of Huawei's technology is already in multiple data centers across the country, providing services to various sectors including internet and automotive [2] Group 2: Domestic AI Chip Developments - Companies like Nucypher and Suirun Technology are developing advanced chips, with the C600 model set for small-scale production in Q4 of this year [1] - The domestic AI chip industry is experiencing rapid growth, with companies like Moore Threads reporting a 256% increase in revenue, driven by AI computing business [2] - Cambrian Technology has turned a profit for the first time in years, with a 40-fold increase in revenue and over 2-fold profit growth in Q1 of this year [3] Group 3: Industry Trends and Collaborations - The domestic AI chip industry is moving towards a trend of adopting local chips, with significant collaborations among companies like Xizhi Technology and ZTE [2] - The introduction of light-interconnected GPU supernodes is expected to reduce power consumption and latency significantly [2] - The overall performance of domestic AI chips has led to a substantial increase in market presence, indicating a shift away from reliance on foreign technology [3]

Group 1 - Huawei's Ascend 384 super node has made its debut at the World Artificial Intelligence Conference, showcasing a computing power of 300 Pflops through its self-developed Matrix-Link network, positioning it against Nvidia's latest GB200 NVL72 [1] - Domestic AI chip manufacturers are collaborating to build a robust domestic computing power ecosystem, exemplified by products like the Xiyun C550 and C600 from Nuxi, which utilize self-developed architectures and are set for small-scale production in Q4 [1][2] - The domestic AI chip market has seen significant growth, with companies like Moore Threads reporting a 256% increase in revenue to 432 million yuan, and Nuxi's revenue surging over 1300% to 742 million yuan [2] Group 2 - The trend of adopting domestic AI chips is becoming irreversible, as evidenced by the increasing usage of these chips in various sectors, supporting China's computing backbone [3] - The collaboration among companies such as Xizhi Technology, Biyuan Technology, and ZTE has led to the development of the first domestic optical interconnect GPU super node, LightSphere X, which aims to reduce power consumption and latency [2]