HomeElectronics NewsAI Tools Expand Support for Advanced Chip Design

AI Tools Expand Support for Advanced Chip Design

Building AI and 3D chips is getting harder. New design, test, and IP tools aim to reduce complexity and speed development.

Synopsys has expanded its portfolio of AI-powered chip design, verification, testing, and IP solutions for Samsung Foundry’s latest process technologies, helping semiconductor companies develop AI, high-performance computing (HPC), and multi-die chips faster while improving design quality and manufacturing readiness.

The expanded portfolio combines production-ready AI-driven electronic design automation (EDA) tools, certified interface IP, silicon-based signoff technologies, and advanced test solutions optimized for Samsung Foundry’s newest manufacturing nodes. The offerings are designed to address growing chip design complexity, rising development costs, and increasing pressure to reduce time-to-market.

Among the key additions are production-ready AI-powered digital and analog design flows for Samsung Foundry’s third-generation 2nm-class process technology. Through continued design and technology co-optimization (DTCO) efforts between Synopsys and Samsung Foundry, the solutions help customers migrate to advanced nodes while achieving improvements in power, performance, and area (PPA).

Synopsys and Samsung Foundry have also introduced new signoff and analysis capabilities that use silicon feedback to improve design optimization and reliability. These include process sensitivity analysis and power integrity solutions that help engineers make more informed decisions during final verification.

For manufacturing and testing, the companies have expanded AI-assisted design-for-test (DFT) and automatic test pattern generation (ATPG) capabilities. The technologies can reduce test patterns and test cycles by up to 20% while maintaining fault coverage for complex SoCs and multi-die devices. Additional physically aware testing and failure diagnosis features are intended to improve test quality and accelerate failure analysis.

To support next-generation 3D chip architectures, Synopsys and Samsung Foundry are validating a unified exploration-to-signoff platform for Samsung Foundry’s Hybrid Copper Bonding-based 3DIC technology. The platform integrates planning, implementation, and multiphysics analysis in a single environment, enabling optimization across compute, memory, and advanced packaging systems.

The announcement also includes an expanded portfolio of interface, foundation, security, and silicon lifecycle management IP optimized for Samsung Foundry’s advanced and automotive process nodes. The IP is designed to reduce integration risks and support faster product development across AI, HPC, consumer electronics, mobile, and automotive applications.

Click here for the original announcement.

Nidhi Agarwal
Nidhi Agarwal
Nidhi Agarwal is a Senior Technology Journalist at Electronics For You, specialising in embedded systems, development boards, and IoT cloud solutions. With a Master’s degree in Signal Processing, she combines strong technical knowledge with hands-on industry experience to deliver clear, insightful, and application-focused content. Nidhi began her career in engineering roles, working as a Product Engineer at Makerdemy, where she gained practical exposure to IoT systems, development platforms, and real-world implementation challenges. She has also worked as an IoT intern and robotics developer, building a solid foundation in hardware-software integration and emerging technologies. Before transitioning fully into technology journalism, she spent several years in academia as an Assistant Professor and Lecturer, teaching electronics and related subjects. This background reflects in her writing, which is structured, easy to understand, and highly educational for both students and professionals. At Electronics For You, Nidhi covers a wide range of topics including embedded development, cloud-connected devices, and next-generation electronics platforms. Her work focuses on simplifying complex technologies while maintaining technical accuracy, helping engineers, developers, and learners stay updated in a rapidly evolving ecosystem.

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