公众号记得加星标⭐️，第一时间看推送不会错过。 来源 ：内容编译自semiengineering 。 "你会怎么处理这些资金？没人知道，" Quadric首席营销官史蒂夫·罗迪 (Steve Roddy) 说道。"如果 我是一家风险投资公司，我为有限合伙人筹集了 5 亿美元，我会在 2 到 3 年的时间里把这笔钱用于 投 资 其 他 公 司 ， 并 期 望 变 现 这 些 投 资 并 获 得 回 报 。 风 险 投 资 的 期 限 最 多 为 3 到 7 年 。 不 能 是 那 种'哦，这项前景光明的技术，20 年后可能会带来回报'之类的想法。"没有哪家风险基金有这样的耐 心。在这种情况下，你要么需要一个有耐心的企业融资合作伙伴，比如大型科技公司，比如IBM实验 室或ATT贝尔实验室。要么，你需要国防部或能源部等机构的政府拨款，因为只有这类投资者有耐心 开发原始技术，而这些技术可能需要很长时间才能面世，也可能需要很长时间才能出产品。这就好比 说，如果我们能造出聚变反应堆，那将是多么酷炫。 作为促进本土芯片生产的努力的一部分，世界各国政府开始加大对芯片设计工具和相关研究的投资， 为初创企业和成熟的 EDA 公司 ...

Core Viewpoint - Goldman Sachs maintains a "Buy" rating on Synopsys (SNPS.US) with a 12-month target price of $700, indicating significant upside potential based on strong core business growth and strategic acquisition synergies [1] Financial Performance - Synopsys is projected to achieve total revenue of $7.299 billion in fiscal year 2025, representing a year-over-year growth of 16.5%, with non-GAAP earnings per share (EPS) expected to reach $13.70 [1] - Following the acquisition of Ansys in 2024, revenue is anticipated to surge to $10.422 billion in fiscal year 2026, reflecting a year-over-year growth rate of 42.8%, with EPS increasing to $16.90 [1] Quarterly Growth Expectations - Significant quarter-over-quarter revenue growth is expected, with Q3 of fiscal year 2025 projected to reach $1.748 billion and Q4 expected to exceed $2.492 billion, driven by the full quarterly contribution from Ansys and robust performance in the core EDA (Electronic Design Automation) business [1] Market Dynamics - Despite recent temporary export restrictions on EDA to China, Goldman Sachs believes the impact will be limited, citing strong quarterly performances from peers like Cadence, indicating resilient underlying EDA demand that can effectively counter short-term policy fluctuations [1] Strategic Focus Areas - Investors are advised to focus on three dimensions: the penetration of core EDA software in custom chip design, the scale and speed of synergies from the integration with Ansys, and the recovery pace of demand following the lifting of the ban in the Chinese market [2] - Synopsys is expected to strengthen its technological barriers in the EDA market, with anticipated disclosures of customer expansion cases and breakthroughs in design projects, particularly in AI chips and high-performance computing [2] - Based on a 40x normalized price-to-earnings valuation model, Goldman Sachs believes the current stock price does not fully reflect the long-term growth potential, maintaining the $700 target price [2]

Core Viewpoint - The article discusses the evolving landscape of artificial intelligence (AI) processing solutions, highlighting the need for companies to balance current performance with future adaptability in AI models and methods. Various processing units such as GPUs, ASICs, NPUs, and FPGAs are being utilized across different applications, from high-end smartphones to low-power edge devices [1][12]. Summary by Sections AI Processing Units - Companies are exploring a range of processing units for AI tasks, including GPUs, ASICs, NPUs, and DSPs, each with unique advantages and trade-offs in terms of power consumption, performance, flexibility, and cost [1][2]. - GPUs are favored in data centers for their scalability and flexibility, but their high power consumption limits their use in mobile devices [2]. - NPUs are optimized for AI tasks, offering low power and low latency, making them suitable for mobile and edge devices [2]. - ASICs provide the highest efficiency and performance for specific tasks but lack flexibility and have high development costs, making them ideal for large-scale, targeted deployments [3]. Custom Silicon - The trend towards custom silicon is growing, with major tech companies like NVIDIA, Microsoft, and Google investing in tailored chips to optimize performance for their specific software needs [4]. - Custom AI accelerators can provide significant advantages, but they require a robust ecosystem to support software development and deployment [4]. Flexibility and Adaptability - The rapid evolution of AI algorithms necessitates flexible hardware solutions that can adapt to new models and use cases, as traditional ASICs may struggle to keep pace with these changes [4][5]. - The need for adaptable architectures is emphasized, as AI capabilities may grow exponentially, putting pressure on decision-makers to choose the right processing solutions [4][5]. Role of DSPs and FPGAs - DSPs are increasingly being replaced or augmented by AI-specific processors, enhancing capabilities in areas like audio processing and motion detection [7]. - FPGAs are seen as a flexible alternative, allowing for algorithm updates without the need for complete hardware redesigns, thus combining the benefits of ASICs and general-purpose processors [8]. Edge Device Applications - Low-power edge devices are utilizing MCUs equipped with DSPs and NPUs to meet specific processing needs, differentiating them from high-performance mobile processors [10]. - The integration of AI capabilities into edge devices is becoming more prevalent, with companies developing specialized MCUs for machine learning and context-aware applications [10][11]. Conclusion - The edge computing landscape is characterized by a complex mix of specialized and general-purpose processors, with a trend towards customization and fine-tuning for specific workloads [12].

Group 1 - The article does not provide specific insights or analysis on any companies or industries [1]

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在人工智能推动下，各类终端智能系统复杂性提升，对产品设计准确与高效的需求也不限于半导体行 业。数据统计也表明，EDA企业收购版图已经从半导体设计、PCB设计等"基本盘"，逐步向整体电子系 统解决方案拓展，客户群体也开始覆盖非半导体客户；同时，系统模拟、仿真等能力也在显著扩容，对 系统化解决能力的需求与日俱增。 （原标题：又现重大并购！AI与EDA双向奔赴！） 在人工智能（AI）的驱动下，EDA（电子设计自动化）行业并购潮涌。向AI靠拢，与AI相拥，成为国 内外EDA企业共同的选择。 EDA行业最大并购案 近期，国家市场监督管理总局对新思科技收购Ansys给予有条件批准，这项高达350亿美元的交易正式落 地，成为EDA行业历史上最大的并购案。 这项交易被新思科技寄予厚望。资料显示，Ansys以工程仿真软件为主营业务，产品不仅包括与IC设计 相关的软件，也面向汽车、航空航天等领域的仿真模型，在仿真软件领域拥有高达42%的市场份额。收 购完成后，新思科技潜在市场规模将扩大1.5倍，在人工智能驱动下，满足客户在电路与物理两大领域 相互融合的相关需求。 "EDA的设计流程包含了设计、仿真、验证等环节。其中，仿真环节由于 ...

Core Insights - The EDA industry is experiencing a merger wave driven by artificial intelligence (AI), with companies aligning their strategies towards AI integration [1][6] - Synopsys' acquisition of Ansys for $35 billion marks the largest merger in EDA history, expected to enhance market reach and capabilities significantly [1][2] - The trend of expanding EDA capabilities into high-end manufacturing sectors like automotive and aerospace is evident, as companies seek to leverage simulation technologies [2][3] EDA Industry Mergers - Synopsys' acquisition of Ansys is a pivotal move, as Ansys holds a 42% market share in simulation software, potentially increasing Synopsys' market size by 1.5 times [1][2] - Other notable acquisitions include Cadence's $1.24 billion purchase of BETA CAE Systems and Siemens EDA's $10.6 billion acquisition of Altair Engineering, indicating a broader trend of EDA firms expanding into non-semiconductor markets [2][3] AI Integration in EDA - The relationship between AI and EDA is evolving, with a shift from design process optimization to system-level optimization, driven by the complexities of modern chip architecture [3][4] - EDA companies are increasingly utilizing AI to enhance their system capabilities, which is crucial for supporting high-performance computing and AI applications [3][4] Challenges and Opportunities - The design verification process is moving earlier in the chip development cycle to mitigate risks and improve quality, necessitating advanced EDA tools [4][5] - The industry faces challenges such as data accessibility and the need for effective feedback mechanisms from end-users to improve AI model reliability [5][6] Future Trends in EDA - Predictions for the EDA industry include full-process intelligence, cross-scale collaboration, and continuous technological innovation, which will transform the role of engineers from operators to decision-makers [8][9] - The integration of AI in EDA tools is expected to enhance design analysis and performance evaluation, addressing issues like design errors and inefficiencies [7][8]

Group 1 - Synopsys, Inc. will report its third quarter fiscal year 2025 results on September 9, 2025, after market close [1] - A conference call to review financial results and business outlook will be held at 2:00 p.m. Pacific Time / 5:00 p.m. Eastern Time [1] - Financial information for the conference call will be available on the corporate website prior to the call, with a live webcast accessible for participants [1] Group 2 - Synopsys is a leader in engineering solutions from silicon to systems, focusing on AI-powered product innovation [2] - The company provides industry-leading silicon design, IP, simulation, analysis solutions, and design services [2] - Synopsys collaborates with customers across various industries to enhance R&D capabilities and productivity [2]

Ansys 2025 R2 amplifies human ingenuity with AI-driven tools and features that simplify simulation adoption, encourage collaboration, and boost productivity across teams. Physics-based AI for Intuitive Simulations Foster synergy, streamline workflows, and shorten time-to-market with new AI-driven tools and enhancements to Ansys simulation technology / Key Highlights PITTSBURGH, July 29, 2025 /PRNewswire/ -- Ansys, now part of Synopsys, (NASDAQ: SNPS) today announced 2025 R2, featuring new AI-powered capabil ...

There's plenty of reason to be optimistic about Synopsys' future; however, whether it could realistically make you a millionaire is a much different story. Electronic design automation (EDA) solutions company Synopsys (SNPS -1.55%) recently completed its long- awaited acquisition of engineering simulation software company Ansys. The deal was completed shortly after the company received the remaining approval it needed (from China) to make the acquisition. It's an exciting deal that promises to put the new S ...