Nan Fang Du Shi Bao·2025-09-13 04:59Group 1 - The demand for lower computing costs and diversified supply chain risks is driving the performance surge of overseas ASIC chip giants like Broadcom and Marvell, while domestic ASIC chip companies are also experiencing a significant increase in orders [1] - Chipone Technology (688521.SH), known as "China's first semiconductor IP stock," reported new orders of 1.205 billion yuan from July 1 to September 11, marking an 85.88% increase compared to the entire third quarter of 2024, with AI computing-related orders accounting for approximately 64% [1] - The AI computing-related orders primarily refer to ASIC chip design services, catering to customized chip demands from chip design companies, internet firms, and cloud service providers [1] Group 2 - A cost comparison by Southwest Securities shows that the unit computing costs of Google's fifth-generation TPU and Amazon's Trainium 2 ASIC chips are 70% and 60% of NVIDIA's H100 chip, respectively [2] - General-purpose GPUs are favored for model training due to their versatility, while ASIC chips are more efficient for specific tasks, leading to a fragmented market where NVIDIA dominates model training but faces competition in model inference from ASIC players [2][3] - NVIDIA is responding to the competition by releasing a new chip designed specifically for AI inference, aimed at improving cost-effectiveness by reducing unnecessary high-cost configurations [2] Group 3 - Chipone Technology, founded in 2001, has established itself as a leading ASIC chip service provider in China, with a comprehensive IP system that includes various types of processors and over 1,600 mixed-signal and RF IPs [3] - The demand for AI ASICs is surging due to the large-scale deployment of large models, with the Chinese AI chip market projected to reach 142.537 billion yuan in 2024, where GPU chips will hold approximately 69.9% of the market share [3] Group 4 - In the first half of 2025, AI computing-related revenue is expected to account for about 52% of Chipone Technology's chip design business [4] - Traditional general-purpose GPUs are increasingly unable to meet the specific demands of certain scenarios, while AI ASICs offer high cost-effectiveness and low power consumption due to their customized architecture [5] Group 5 - Chipone Technology is seeking to acquire RISC-V architecture CPU IP provider Chipone Technology, which is expected to enhance its AI ASIC business [5] - The company relies on a partnership with UK IP giant Alphawave for high-speed SerDes IP, which is crucial for high-speed data transmission [5] Group 6 - The domestic AI ASIC landscape includes major players like Huawei, Alibaba, and Baidu, with products such as Huawei's Ascend series and Alibaba's Pingtouge [6] - The rapid expansion of domestic AI chips is driven by technological breakthroughs from large internet companies and local suppliers [8] Group 7 - The global AI ASIC market is projected to grow from approximately $6.6 billion in 2023 to $55.4 billion by 2028, with a compound annual growth rate of 53% [9] - Major cloud providers like Google and Amazon are leading the self-developed ASIC chip trend, significantly boosting the performance of ASIC service providers [10] Group 8 - Broadcom's AI business reported $5.2 billion in revenue for the third quarter of 2025, a 63% year-on-year increase, with a new major customer ordering over $10 billion in custom AI chips [10] - The competitive landscape is shifting, with concerns that NVIDIA's clients may pivot from GPUs to ASICs as the latter gain traction [11] Group 9 - Despite NVIDIA's skepticism about the flexibility of ASICs, the company is actively developing new GPU architectures to compete in the inference market [12][18] - The coexistence of ASICs and general-purpose GPUs is expected, with each technology serving different application scenarios effectively [18]