Core Viewpoint - Wallen Technology's application for listing on the Hong Kong Stock Exchange signifies not only the capital advancement of this domestic GPU leader but also an important signal of China's breakthrough in autonomous computing power [1] Group 1: Technological Advancements - Wallen Technology's core strength lies in its technological breakthroughs, having developed an original architecture that disrupts the high-end GPU market's technological monopoly [3] - The flagship BR100 series, built on the "Bili Ran" architecture, utilizes 7nm process and Chiplet technology, achieving over three times the performance of mainstream products, with 770 billion transistors and INT8 computing power reaching 19.2 TOPS [3] - The proprietary BLink™ high-speed interconnect technology enables a single card to achieve 448GB/s bandwidth, supporting over 95% linear acceleration for large-scale clusters [3] - Wallen's heterogeneous mixed training technology allows four different GPUs to train the same large model, providing a viable solution to the computing power isolation problem [3] Group 2: Ecosystem Development - The progress of ecosystem construction directly influences the market viability of GPU products, with Wallen Technology striving to close the ecological gap with international giants through open collaboration [5] - The self-developed BIRENSUPA™ software toolchain has become the core of the ecosystem, supporting mainstream data precisions and achieving compatibility with major models [5] - Wallen has established a diverse cooperation network through technological openness, collaborating with various companies to enhance training performance and create a complete technology closed loop [5] Group 3: Commercialization and Market Strategy - The acceleration of commercialization has allowed Wallen Technology to convert technological value into market competitiveness, achieving comprehensive coverage of three major telecom operators [6] - Wallen has formed a clear product matrix targeting different application scenarios, with the BR100 focusing on AI training and the Bili 110E inference card offering significant performance density and energy savings [6] - The company has set a target of 20,000 chips for procurement by 2025 and is expanding its reach into government and enterprise markets through partnerships [7] Group 4: Financial Outlook and Growth Potential - Despite the promising technological advancements, Wallen Technology's revenue remains modest, projected at approximately 280 million yuan in 2025, highlighting the challenge of converting technical advantages into profitability [7] - The capital injection from the Hong Kong listing may accelerate investments in key areas such as packaging localization and ecosystem expansion [7] - The deep involvement of industrial capital, like Shanghai Lingang, not only shares in the company's growth but also strengthens the development foundation for hard-tech enterprises, fostering a beneficial cycle of "capital + technology" [7]

Group 1 - The article highlights the support from the Ministry of Industry and Information Technology for domestic GPU development, indicating a competitive landscape among local companies in the GPU sector [1] - Moores Threads is developing the MTT S80, a full-featured GPU capable of running major games, with a Pre-IPO valuation of 25.5 billion [1] - Jingjia Micro is positioned as a key player with its JM9 GPU nearing the performance of GTX 1050, and a significant market share in government and financial sectors [1] - Birran Technology's BR100 GPU boasts three times the computing power of international flagship products, positioning it as a leader in domestic alternatives despite being listed by the US [2] - Muxi Integration has successfully delivered the Xiyun C500 GPU, with plans for the C600 to support FP8 and CUDA compatibility, marking it as a major player in domestic scaling [3] - Lishuan Technology is set to launch a 6nm GPU in 2025 that will outperform RTX 4060, focusing on digital twins and out-of-order rendering [4] - Haiguang Information stands out as the only company with both CPU and GPU capabilities, forming a unique ecosystem with products widely used in various sectors [5] Group 2 - The article notes that while domestic GPUs may struggle to catch up with established players like NVIDIA, AMD, and Intel in the short term, there is potential for significant growth in the long term, similar to the evolution seen in the home appliance and automotive industries [5]

Core Insights - The global computing power landscape is evolving into two parallel paths, with domestic and international routes differing, and opportunities for domestic chips in inference scenarios are expected to emerge this year [1][4] - Two AI chip companies, Muxi Integrated Circuit (Shanghai) Co., Ltd. and Moore Threads Intelligent Technology (Beijing) Co., Ltd., are nearing their IPOs, with Muxi's counseling work completed and Moore Threads' status changing to acceptance [1][2] - The demand for AI chips in China is increasing, with several companies adapting to the popular DeepSeek-R1 model, leading to a significant shift in market dynamics [3][4] Company Summaries - Muxi and Moore Threads were founded in 2020, while Suiruan Technology and Birun Technology were established in 2018 and 2019, respectively; the latter two companies have slower IPO progress compared to the former [2] - Moore Threads has the highest valuation among the four companies at 25.5 billion yuan, followed by Suiruan Technology at 16 billion yuan, Birun Technology at 15.5 billion yuan, and Muxi at 10 billion yuan [2] - Founders of these companies have backgrounds in major overseas chip firms, with Moore Threads' CEO previously serving as NVIDIA's China General Manager and Muxi's founders coming from AMD [2] Market Dynamics - The demand for domestic AI chips has surged, with IDC reporting that 34.6% of the Chinese data center accelerator market was comprised of domestic solutions last year, and this figure is expected to exceed 40% in the first half of this year [3] - The DeepSeek application has driven significant demand for domestic computing power, with many companies adapting their products to this model [3][4] - The global computing power foundation is shifting, with 98% of large model training still relying on NVIDIA, but there is potential for a portion of pre-training to transition to non-NVIDIA cards by the end of the year [4]

Core Viewpoint - The article discusses the performance of domestic GPUs, highlighting the competitive landscape and the impact of sanctions on production capabilities. It emphasizes that while the BR100 from Birun is the most powerful, it cannot be mass-produced due to sanctions, leaving Huawei's 910C as the strongest available option [1][2]. Performance Comparison - The performance ranking of GPUs indicates that the Huawei 910C leads, followed by the Haiguang BW100, with the latter achieving approximately 87% of its potential performance. The Cambrian 590's performance is uncertain, potentially reaching 80% [2]. - The Haiguang BW100 has a deep computing capability of over 400T, which is about 50% of the H800's performance, while the 910C reaches approximately 60% of the H800's performance [1][2]. Memory and Bandwidth - Most domestic GPUs utilize HBM2e memory due to sanctions preventing the use of HBM3e. Sufficient memory is crucial for initiating inference tasks, as insufficient memory can hinder model startup [3]. - Huawei leads significantly in memory bandwidth, which is a critical factor for performance [4]. Pricing Insights - Current market prices for GPUs are as follows: Haiguang BW100 at approximately 100,000 yuan, Huawei 910B at around 70,000 yuan, and 910C at about 180,000 yuan. The Cambrian 590 has seen a price drop from 80,000-85,000 yuan to between 60,000-70,000 yuan [2]. Technical Specifications - A table summarizes key specifications of various GPUs, including memory type, bandwidth, capacity, and arithmetic intensity. For instance, the Huawei 910C features HBM2e with a bandwidth of 3.2 TB/s and a memory capacity of 64 GB [5].