Core Insights - The global semiconductor industry is shifting from a prolonged race to a new paradigm centered on innovation, with Chiplet technology taking the spotlight as it advocates for modular small chips to achieve higher performance density through advanced packaging techniques [1][17]. Group 1: Chiplet Technology and EDA Software - Chiplet technology necessitates deep collaboration among EDA software, IP suppliers, wafer fabs, and packaging plants due to the exponential increase in design complexity [1][17]. - The rise of Chiplet technology represents an ecological innovation focused on "system-level optimization," requiring EDA software to evolve beyond single-point tool innovations to comprehensive solutions addressing systemic challenges [1][17]. Group 2: System-Level Collaboration - Traditional design processes follow a linear approach that hinders early cross-domain trade-offs, making it essential to break these barriers to fully unleash the potential of Chiplet technology [18][19]. - Siemens EDA's design process is based on the System Technology Collaborative Optimization (STCO) concept, aiming for overall system-level optimization throughout the 3D IC design, verification, and manufacturing processes [19]. Group 3: Comprehensive Design Solutions - Siemens EDA provides a full-process solution for Chiplet design, including architecture planning, logic verification, physical design, physical verification, and physical testing [21][22][23]. - The Innovator3D IC Integrator (i3DI) allows for the creation of 3D digital twins, supporting early architectural exploration and pre-simulation assessments [21]. - The Calibre platform extends single-chip "golden" DRC/LVS standards to multi-chip and 3D stacking scenarios, ensuring comprehensive testing solutions for system reliability [22][23]. Group 4: Advanced Packaging and Manufacturing Collaboration - Advanced packaging technology is crucial for transforming Chiplet concepts into reality, with each iteration of packaging processes driving Chiplet architectures towards greater efficiency and complexity [28]. - Siemens EDA collaborates closely with wafer fabs and packaging houses to ensure that the toolchain delivered to chip design companies is synchronized with target manufacturing processes [28][29]. Group 5: Ecosystem Development and Standards - Siemens EDA actively participates in the Open Compute Project (OCP) to help establish Chiplet industry standards, promoting efficient and orderly development across the industry [31][12]. - The company aims to be a key node in the industry interconnection, contributing to standard formulation, industry linkage, and academic collaboration to solidify the technical foundation for Chiplet design and manufacturing [31]. Group 6: Continuous Industry Collaboration - To ensure its toolchain can respond accurately to rapidly evolving manufacturing processes, Siemens EDA has established a regular industry collaboration mechanism, maintaining deep technical exchanges with leading IC design companies [34]. - The company also emphasizes partnerships with academic institutions to stay ahead of future technology trends, ensuring its tools can meet upcoming challenges in Chiplet technology [35].

Core Viewpoint - The semiconductor industry is shifting from a prolonged race to a new paradigm centered on innovation, with Chiplet technology emerging as a key focus for enhancing performance density through modular integration [4]. Group 1: Chiplet Technology and EDA Software - Chiplet technology advocates for breaking down complex systems into modular small chips, requiring deep collaboration among EDA software, IP suppliers, foundries, and packaging companies to achieve system-level optimization [4]. - The traditional design process follows a linear approach that limits early cross-domain trade-offs, necessitating a shift to a holistic view to fully leverage Chiplet potential [5]. - Siemens EDA's design process is based on System Technology Collaborative Optimization (STCO), aiming for overall system-level optimization throughout the 3D IC design, verification, and manufacturing processes [6]. Group 2: Comprehensive Solutions for Chiplet Design - Siemens EDA provides a full-process solution for Chiplet design, including architecture planning, logic verification, physical design, physical verification, and physical testing [8][9][10][11][12]. - The Innovator3D IC Integrator (i3DI) enables early architectural exploration and pre-simulation assessments by creating a 3D digital twin of the design [8]. - The Calibre platform extends single-chip verification standards to multi-chip and 3D stacked designs, ensuring comprehensive validation [11]. Group 3: Advanced Packaging and Collaboration - Advanced packaging technology is crucial for the realization of Chiplet concepts, with EDA tools needing to respond proactively to manufacturing demands [19]. - Siemens EDA collaborates closely with foundries and packaging companies to ensure that the tools delivered to chip design companies are synchronized with target manufacturing processes [19]. - As a founding member of TSMC's 3D Fabric Alliance, Siemens EDA participates in establishing design processes and standards, adapting tools to TSMC's advanced packaging technologies [19][20]. Group 4: Ecosystem Development and Industry Standards - Siemens EDA actively participates in the development of Chiplet industry standards through the Open Compute Project (OCP), promoting efficient and orderly industry growth [23]. - The company maintains regular technical exchanges with leading IC design firms to understand future tool requirements and address design challenges [25]. - Collaboration with academic institutions and research organizations is emphasized to stay ahead of future technology trends and ensure tools can meet upcoming challenges [25]. Group 5: Strategic Support for Chiplet Commercialization - Siemens EDA's multi-dimensional strategy, focusing on system-level collaboration, manufacturing empowerment, and ecosystem building, provides robust support for the commercialization of Chiplet technology [26]. - This approach reflects the company's foresight as an industry leader, ensuring that its toolchain effectively supports the semiconductor industry's transition to heterogeneous integration [26].

Core Viewpoint - The semiconductor industry faces unprecedented challenges in power delivery and thermal management due to the increasing complexity and power demands of AI workloads, necessitating innovative design and manufacturing approaches [1][2][20]. Power Delivery Challenges - AI-specific chips are pushing transistor density to new limits, leading to significant power demands, with NVIDIA's Blackwell consuming between 700W to 1400W [1]. - Dynamic power consumption, primarily influenced by data movement between memory and computation units, dominates power usage, creating design constraints from memory hierarchy decisions to power delivery networks [1][2]. Thermal Management Issues - The transition to 3D stacking and localized heat generation complicates thermal dissipation, increasing challenges like electromigration and localized hotspots [2]. - Advanced packaging techniques are essential for effective thermal management, with materials like indium alloy TIM being effective due to their high thermal conductivity [8]. Vertical Power Delivery Innovations - The semiconductor industry is exploring vertical power delivery techniques to overcome limitations of traditional horizontal power delivery, which suffers from significant power loss and overheating [4]. - By embedding power rails directly beneath chips, vertical delivery reduces voltage drop and noise while freeing up space for critical signal transmission [4][5]. Material Innovations - Molybdenum is emerging as a key alternative to tungsten and copper for interconnects, offering lower contact resistance and better performance in densely packed chip designs [11][12]. - The shift to molybdenum aligns with industry efforts to mitigate electromigration risks associated with high current densities in AI workloads [12][13]. Backside Power Delivery Networks (BSPDN) - BSPDN represents a transformative shift in chip architecture, separating power and signal routing to enhance efficiency and layout flexibility [15][16]. - This approach allows for dual-side cooling strategies, although it introduces new challenges in terms of mechanical reliability and yield optimization [16]. System-Level Design Optimization - The integration of power delivery, thermal distribution, and mechanical stress modeling is becoming crucial for next-generation AI chips, requiring collaboration across design teams [18][19]. - Enhancing power delivery efficiency directly correlates with reduced heat generation and cooling costs, which is vital for large-scale data centers [20]. Conclusion - The future of AI chip power delivery will require deep interdisciplinary collaboration, with innovations like BSPDN, molybdenum interconnects, and vertical integration paving the way for improved performance and scalability [20].