Core Insights - The article emphasizes that AI will be a core driving force of the fourth industrial revolution, aiming for over 70% penetration of smart terminals and intelligent systems by 2027 [1] - The semiconductor industry is highlighted as a primary beneficiary, with a need for advancements in computing power, storage, networking, and power supply [1] Group 1: AI and Semiconductor Industry - AI hardware development has led to a trend towards system-level solutions, with Chiplet advanced packaging and heterogeneous integration becoming essential for sustaining computing power growth [3] - Major companies like NVIDIA, AMD, and Broadcom are adopting Chiplet technology, while systems like NVIDIA's NVL72 and Huawei's Ascend 384 are pushing performance boundaries through advanced interconnect technologies [3] Group 2: EDA (Electronic Design Automation) Transformation - EDA companies are expanding their capabilities beyond traditional chip design to include multi-physics simulation and system analysis, indicating a shift towards integrated design processes [4] - Recent acquisitions by major EDA firms aim to create a complete design chain from chip to system, addressing the challenges posed by AI hardware design [4] Group 3: Domestic EDA Developments - Domestic EDA companies like Chip and Semiconductor are recognized for their expertise in Chiplet, packaging, and multi-physics simulation, positioning them advantageously in the market [5] - Chip has received accolades for its achievements in PCB design simulation, serving numerous high-speed system design clients over the past decade [5] Group 4: AI Integration in EDA - The introduction of AI into EDA processes is transforming traditional design methodologies, enhancing design efficiency and reducing validation cycles [8] - Collaborations between EDA firms and AI companies, such as Cadence and NVIDIA, are leading to significant improvements in chip design and simulation efficiency [8] Group 5: Upcoming Events and Industry Collaboration - The upcoming Chip and Semiconductor User Conference on October 31 will focus on the integration of AI and EDA, featuring discussions on key technological breakthroughs [10] - The conference aims to foster collaboration among various stakeholders in the semiconductor industry, emphasizing the importance of AI in driving innovation and self-reliance in technology [10]

Core Viewpoint - The domestic EDA industry has made significant progress in recent years, driven by a strong determination to develop local capabilities in response to international pressures, despite still facing substantial gaps compared to established global players like Synopsys and Cadence [1][3][4]. Group 1: Current State of Domestic EDA - Domestic EDA companies have increased from 1,000 to approximately 7,000 personnel, achieving an 80% coverage of local EDA products [4]. - There are over 110 EDA companies in China, reflecting a strong enthusiasm for developing domestic EDA capabilities [3]. - The investment in domestic EDA has surged post-2020, with a notable increase in the number of companies and personnel involved in the sector [3][4]. Group 2: Challenges and Gaps - The gap between domestic EDA and international leaders is significant, with the latter having a head start and deeper investment in R&D and acquisitions [3]. - Domestic EDA tools still face challenges in functionality, performance, and user experience compared to established products [4]. Group 3: Strategic Initiatives by Huada Jiutian - Huada Jiutian is focusing on self-research, collaborative development, and mergers to strengthen its position in the EDA market [4]. - The company has developed a full suite of EDA tools across various domains, including analog, storage, and RF circuit design [4][5]. Group 4: AI Integration in EDA - EDA is becoming a target for AI transformation, with major international players already experimenting with AI to enhance their tools [8]. - Huada Jiutian has also invested in machine learning and aims to integrate AI into its EDA offerings, focusing on creating a unified structure and intelligent systems [8][9]. Group 5: Product Innovations - Huada Jiutian has introduced tools like Empyrean Andes® Power, which automates the design process, significantly improving efficiency and reducing manual errors [9][10]. - The new platform, Empyrean PyAether®, supports a wide range of chip design needs and offers over 12,000 Python API interfaces for automation [10][11]. Group 6: Future Outlook - The company aims to build a comprehensive service ecosystem that includes tools from other EDA companies, ensuring data security and privacy for clients [11]. - Huada Jiutian is also developing foundational IPs and plans to maintain a dual focus on EDA and IP development for future growth [13].