Calibre Vision AI
Search documents
革新芯片设计范式: 西门子EDA铸就智能基座,全流程AI加持
半导体行业观察· 2025-11-17 01:26
芯片设计是一项复杂的系统工程,尤其验证和优化环节极其耗费时间和精力。为了有效降低错误 率、提升设计质量,EDA工具的自动化、智能化发展成为关键。近年来,随着AI技术在EDA领域 的应用逐渐成熟,为芯片设计领域带来了革命性的变化。AI加持显著提高了芯片设计的效率与质 量,降低了开发成本,加速产品上市进程。 西门子EDA AI System, 构建可靠智能化基座 与侧重于"学习"能力的通用生成式AI或大语言模型不同,EDA领域的AI必须具备高可靠性与输出可 用性。它生成的每一行代码、每一个设计单元都必须确保正确无误,真正用于指导或完成芯片设 计。将AI嵌入应用程序或许相对简单,但将其融入EDA工作流则需克服更多挑战。 西门子EDA在其AI工具中特别强调五大关键特性: 0 1 可验证性 依赖高质量数据与正确算法,确保AI输出可被严格验证,从而安全用于芯片设计; 0 2 易用性 以高效达成目标为核心,提供流畅的用户体验界面; 0 3 通用性 适配多种设计场景,不局限于单一功能; 04 稳健性 在不同硬件与环境条件下保持稳定运行; 作为工业级AI,EDA AI System能够可靠应用于芯片设计和系统开发等高复杂度场景 ...
万亿赛道新变局:西门子EDA以AI重塑半导体设计边界
Guan Cha Zhe Wang· 2025-09-03 04:30
Group 1 - The core viewpoint of the article emphasizes the transformation of traditional luxury automotive brands like Mercedes into software-centric companies, reflecting the broader changes in the semiconductor industry driven by AI and software [1][4][6] - Siemens EDA's annual technology summit highlighted the industry's challenges, including project delays and declining first-pass success rates, while projecting semiconductor industry revenue to reach $1 trillion to $1.2 trillion by 2030, with transistor counts exceeding 1 trillion [4][6] - The introduction of "software-defined, AI-empowered, chip-enabled" strategies by Siemens EDA signifies a profound insight into industry trends, with a notable emphasis on the increasing importance of AI in Electronic Design Automation (EDA) [4][7] Group 2 - The concept of "software-defined" in the semiconductor industry indicates a shift from hardware-centric approaches to software-driven differentiation, necessitating a change in design methodologies to incorporate software considerations early in the design process [6][9] - AI's role in EDA is characterized by its industrial-grade applications, focusing on five key features: verifiability, usability, universality, robustness, and accuracy, which are essential for ensuring reliable chip design [7][8] - Siemens EDA's development of a comprehensive digital twin system aims to support the entire digital ecosystem, integrating various design and verification processes across multiple domains, thereby enhancing the overall design and production lifecycle [9][10]