Core Viewpoint - Wallen Technology, a leading GPU company in Shanghai, has successfully listed on the Hong Kong Stock Exchange, becoming the first domestic GPU stock and the first new stock listed in the Hong Kong market in 2026 [2] Group 1: Company Overview - Wallen Technology's IPO price was HKD 19.60 (approximately RMB 17.60), with an opening price surge of 82.14% to HKD 35.70 (approximately RMB 32.05), resulting in a market capitalization of HKD 855.42 billion (approximately RMB 768 billion) [2] - As of 9:35 AM, the stock price reached HKD 41.80 (approximately RMB 37.52), with a latest market capitalization of HKD 1002 billion (approximately RMB 899 billion) [2] - Founded in 2019, Wallen Technology reported revenue of RMB 49.9 million in 2022, projected to grow to RMB 337 million in 2024, reflecting a compound annual growth rate (CAGR) of 2500% [3][5] Group 2: Technological Achievements - Wallen Technology is the first Chinese company to adopt 2.5D chiplet technology for dual AI computing bare chips and has achieved significant technical milestones in the domestic AI chip sector [5] - The company has a high R&D ratio, with 83% of its workforce in R&D and over 70% of its expenses allocated to R&D, ranking first in China for the number of invention patent applications in the GPGPU sector [8][9] - Wallen Technology has applied for over 1500 patents globally, with a 100% authorization rate for invention patents, establishing a strong patent wall for long-term development [9] Group 3: Product Development and Innovation - The company has developed a self-researched GPGPU architecture that integrates innovations to enhance performance and efficiency, with plans for next-generation chips supporting FP8 and FP4 precision [15][16] - Wallen Technology's GPGPU architecture features advanced designs such as dual chiplets, tensor core architecture, and near-memory computing, significantly improving AI computation efficiency and energy consumption [18][19] - The company has successfully commercialized high-performance OAM and general-purpose boards, being one of the first in China to do so [22] Group 4: Market Position and Strategy - Wallen Technology aims to provide comprehensive solutions for large-scale intelligent computing clusters, integrating its hardware and software with third-party infrastructure [27] - The company has established partnerships with major telecom operators and has served nine Fortune China 500 companies, including five from the Fortune Global 500 [32] - Wallen Technology's software platform, BIRENSUPA, is designed to lower migration costs and enhance ecosystem development, supporting various AI models and facilitating collaboration with top universities [31]

Core Viewpoint - Wallen Technology is set to become the first general-purpose GPU company to list on the Hong Kong Stock Exchange, highlighting its strategic importance in the ongoing global AI revolution and the increasing demand for computing power [1][13]. Group 1: Company Overview - Wallen Technology has signed framework sales agreements and contracts exceeding 1.2 billion yuan, with clients including nine Fortune China 500 companies, five of which are also on the Fortune Global 500 list [3][15]. - The company has developed five core technologies, including GPGPU architecture and system-on-chip (SoC) design, to create a comprehensive intelligent computing solution for the domestic AI industry [3][15]. Group 2: Technological Innovations - Wallen Technology stands out in SoC design, hardware systems, and cluster deployment optimization compared to other domestic computing power manufacturers [5][17]. - The company is the first in China to use 2.5D chiplet technology for packaging dual AI computing bare chips, enhancing overall chip performance [5][17]. - The BR166 chip, set to launch in 2025, will utilize advanced chiplet technology, significantly increasing transistor count and overall performance [5][19]. Group 3: Market Demand and Financial Performance - Wallen Technology's revenue has shown rapid growth, with figures of approximately 500,000 yuan in 2022, 62.03 million yuan in 2023, and 337 million yuan projected for 2024 [8][20]. - Despite the revenue growth, the company remains in a loss position, with adjusted net losses narrowing from 1.038 billion yuan in 2022 to 767 million yuan in 2024 [8][20]. - As of December 15, 2025, Wallen Technology has secured sales agreements worth approximately 1.2407 billion yuan, providing a solid foundation for future revenue growth [8][20]. Group 4: Strategic Partnerships and Client Base - Wallen Technology has established strategic partnerships with key industries, including AI data centers and telecommunications, to meet unique client needs [10][22]. - The company has provided solutions to nine Fortune China 500 companies, with five also listed in the Fortune Global 500 [10][22]. Group 5: Management Team and Market Potential - The management team includes experienced professionals, such as CEO Zhang Wen and Chief Architect Hong Zhou, who bring extensive expertise in law, finance, and technology [11][23]. - The Chinese intelligent computing chip market is projected to grow from 1.7 billion USD in 2020 to 30.1 billion USD by 2024, with a CAGR of 105% [11][23]. Group 6: Future Product Roadmap - Wallen Technology plans to launch the next-generation BR20X series in 2026, targeting the global high-end cloud market [12][24]. - The company holds a substantial patent portfolio, with 613 patents and 972 pending applications related to its next-generation technologies [12][24].

Summary of Conference Call on Huawei's Super Node and Domestic AI Chip Market Industry Overview - The conference call discusses the domestic AI chip market, focusing on Huawei's 384 Super Node and its competitive landscape against international players like NVIDIA [1][2][8]. Key Points and Arguments - **Huawei 384 Super Node**: - Utilizes high-speed interconnect and optical module technology, enhancing cost-effectiveness and deployment certainty in inference scenarios, serving as a domestic alternative to NVIDIA's Nvlink bottleneck [1][2]. - Supports SP8, providing superior performance in inference tasks compared to many domestic cards lacking this feature [2]. - **Domestic AI Chip Companies**: - Companies like Moer, Muxi, and Suiyuan are narrowing the gap with international leaders through technological advancements, with expectations to increase market share by 2026 [1][4]. - New products from these companies, such as Moer S5000 and Muxi C600, are expected to meet the demands of major internet companies, enhancing their competitive position [4]. - **Market Demand and Supply**: - The demand for domestic computing cards is not limited to internet companies but extends to telecom operators, financial institutions, and state-owned enterprises, indicating a supply-demand imbalance [3][16]. - The market is projected to focus on 2026 valuations, with optimism surrounding the growth of domestic graphics cards [3][13]. - **High-Density Super Point Solutions**: - Companies like Haiguang are developing high-density, high-performance super point solutions, such as a silent liquid cooling solution supporting up to 660 cards, to improve overall computing efficiency [5][6]. - **GPGPU Architecture Development**: - Domestic GPGPU architecture is evolving, with companies like Huawei Ascend transitioning to GPGPU to reduce interconnect development risks [7]. - The integration of DSA functions into GPUs by manufacturers like Moer indicates a trend towards technological convergence [7]. - **Future Market Dynamics**: - The competitive landscape is expected to become more complex by 2026, with new product launches and testing processes for internet companies [10][12]. - Despite the anticipated changes, the overall market structure is expected to remain stable, with Huawei leading, followed by Cambricon and Haiguang [10]. Additional Important Insights - **Inference Demand Growth**: - The increasing demand for inference capabilities, especially in the context of the multi-modal era, is driving the need for domestic computing cards [9][12]. - **AI Application Revenue**: - Significant growth in AI application revenues is anticipated, with estimates for companies like Keling reaching $200 million in 2025 [10]. - **Comparison with U.S. Market**: - The U.S. market is dominated by a few major clients, while China's demand is diversified across numerous long-tail customers, indicating a robust growth potential for domestic computing cards [16]. This summary encapsulates the critical insights from the conference call, highlighting the competitive landscape, technological advancements, and market dynamics within the domestic AI chip industry.

Core Insights - The article discusses the anticipated performance and market release timelines for the AI semiconductor products 910D and 920, highlighting their architectural improvements and expected advantages over previous models [1]. Group 1: 910D Overview - 910D is designed with four dies, an upgrade from the two dies in 910C, enhancing its performance to exceed that of the H100 [1]. - The expected market release for 910D is optimistic, with potential availability by Q2 2024 and no later than Q2 2026 [1]. - The performance of 910D is expected to support certain training applications, although its cost-effectiveness may decline for models exceeding 400 billion parameters due to weaker ecosystem capabilities [1]. Group 2: 920 Overview - The 920 will also have multiple versions, with the first version adopting a dual-die design and optimized processes, transitioning to a GPGPU architecture for better ecosystem integration with NVIDIA [1]. - The first batch of 920 chips is expected to be available by the end of 2025, with larger scale production anticipated around mid-2027 [1].