Core Viewpoint - The article highlights the rapid growth and market potential of domestic AI chip companies, particularly focusing on Wallen Technology, which has successfully launched its GPU products and is experiencing significant revenue growth due to increasing demand for AI computing power [1][3]. Company Overview - Wallen Technology, known as the "first GPU stock in Hong Kong," debuted on the Hong Kong Stock Exchange on January 2, 2026, with a market capitalization exceeding HKD 100 billion and a subscription rate of over 2300 times during the offering phase [1]. - The company has developed its first-generation GPGPU architecture and two chip models, BR106 and BR110, and is advancing towards its second-generation architecture products [2][8]. Revenue Growth - In 2022, Wallen Technology reported revenue of approximately RMB 500,000, which surged to about RMB 62.03 million in 2023, marking a growth of 443.29% to approximately RMB 337 million in 2024 [2]. - The average transaction amount per customer increased by 113.64% to RMB 940,000, reflecting the company's successful market penetration and product acceptance [2]. Market Potential - The Chinese smart computing chip market is projected to grow from USD 1.7 billion in 2020 to USD 30.1 billion by 2024, with a CAGR of 105%, and is expected to reach USD 201.2 billion by 2029 [3]. - Domestic AI chip manufacturers are anticipated to increase their market share from approximately 20% in 2024 to about 60% by 2029, indicating significant growth opportunities for competitive players [3]. Technological Advancements - Wallen Technology is focusing on enhancing its cluster capabilities and has successfully commercialized its AIDC thousand-card GPU cluster project, collaborating with major telecom operators [6][9]. - The company plans to launch its next-generation flagship data center chip, BR20X, by 2026, which is expected to provide improved single-card computing power and support for various data formats [8]. Industry Collaboration - Wallen Technology is actively participating in industry collaborations, including the establishment of the OISA ecosystem and the development of mixed training solutions to address challenges in heterogeneous computing environments [9][10]. - The company is involved in the formulation of national standards for AI computing, which will facilitate the adoption of domestic GPUs and support the innovation of large models [10]. Future Strategy - The company aims to continue investing in R&D, particularly in core technologies to enhance its autonomous capabilities, while fostering partnerships to improve brand recognition and accelerate solution commercialization [10][11]. - The competitive landscape for domestic GPUs is evolving beyond hardware specifications to encompass reliable deployment, open-source ecosystem development, and forward-looking technical standards [10].

新华财经上海12月28日电（记者高少华）2025年国产大模型DeepSeek引爆大模型的落地应用，国内算 力需求激增，但由于高端算力供应紧张、国产芯片百花齐放、智算中心扩容混建，由此形成大量异构算 力孤岛，给智算集群的资源利用效率和灵活性带来挑战。 记者从上海壁仞科技股份有限公司（以下简称"壁仞科技"）获悉，壁仞科技致力打造自主原创的高性能 图形处理器（GPU）软硬件体系，首代通用GPU产品基于原创训推一体芯片架构，实现中国首个四种及 以上异构芯片混训技术落地，有效突破了算力孤岛难题。 伴随国内算力需求爆发式增长，算力资源不足成为一大短板，业界由此逐步转向异构算力阶段，推动图 形处理器、神经网络处理器（NPU）、现场可编程门阵列（FPGA）等异构芯片成为算力供给的主力。 在海外供应链风险加剧、国产算力替代加速背景下，混合异构算力已成为企业人工智能基础设施建设的 新常态，但同时业界也普遍面临GPU利用率不足、异构资源管理困难等痛点。 针对异构算力问题，国内GPU及算力厂商正通过硬件兼容、软件框架优化、智能调度、国产化适配和能 效提升等举措，以此提升整体芯片算力，实现算力协同。 "壁仞科技目前有万卡集群整体解决方 ...