Synopsys drives artificial intelligence and multi-die innovation with advanced Samsung foundry technologies

Synopsys and Samsung Foundry announce deeper collaboration for next-generation artificial intelligence, high-performance computing, and multi-die system design on cutting-edge process nodes.

Synopsys has revealed an expanded partnership with Samsung Foundry aimed at accelerating the development of next-generation artificial intelligence, high-performance computing (HPC), and multi-die solutions. The collaboration leverages Synopsys´ 3DIC Compiler software alongside Samsung’s latest packaging technologies to help customers achieve rapid and successful tape-outs of increasingly complex designs. Through this synergy, mutual clients can access enhanced electronic design automation (EDA) flows tailored for Samsung’s SF2P manufacturing process, resulting in improved power, performance, and area (PPA) metrics for their semiconductor products.

The companies are particularly focused on reducing integration risks by providing customers with a certified lineup of intellectual property (IP) optimized for Samsung’s most advanced process technologies, including sub-2 nanometer nodes. By combining Synopsys´ design tools and expertise with Samsung´s leading-edge foundry capabilities, companies are empowered to bring innovative silicon solutions to market more quickly while managing both complexity and efficiency.

John Koeter, senior vice president of the Synopsys IP Group, highlighted how the rising adoption of edge artificial intelligence solutions is driving the demand for advanced semiconductor innovation. He emphasized that this collaboration is enabling high-end artificial intelligence processors across diverse use cases—from power-hungry inference engines in data centers to ultra-low-power edge devices like cameras and drones. All these deployments benefit from customized development flows and IP integration on Samsung’s latest process nodes, helping industries expand artificial intelligence functionalities at scale. The partnership underscores the growing industry momentum toward tightly integrated software and hardware ecosystems as foundational for breakthroughs in artificial intelligence and multi-die chip architectures.

68

Impact Score

Artificial Intelligence tumour testing aims to personalize cancer treatment

A UK-funded cancer testing platform is using living tumour replicas and Artificial Intelligence analysis to identify which drugs are most likely to work before treatment starts. Researchers say the approach could reduce ineffective chemotherapy and improve decisions for patients with aggressive cancers.

Figure advances home robotics with living room cleanup

Figure says its Helix 02 humanoid can now autonomously tidy a living room, marking a step beyond kitchen-focused tasks. The robotics roundup also highlights a DJI vacuum security flaw, new object-finding research, and notable industry moves.

Microsoft launches Copilot Health in the US

Microsoft has introduced Copilot Health as a protected space inside Copilot that combines medical records, wearable data and lab results into personalised health insights. The service is launching first for adults in the US with strong privacy controls and a limited initial rollout.

Tesla plans terafab for Artificial Intelligence chips

Tesla is moving toward a large-scale chip manufacturing project to support its autonomous driving roadmap. Elon Musk said the terafab effort for Artificial Intelligence chips will launch in seven days and may involve Intel, TSMC and Samsung.

Timeline traces evolution, civilisation and planetary stewardship

A sweeping chronology links cosmology, evolution, human history and modern environmental risk in a single long view of the human condition. The sequence culminates in contemporary debates over climate change, biodiversity loss and artificial intelligence governance.

Contact Us

Got questions? Use the form to contact us.

Contact Form

Clicking next sends a verification code to your email. After verifying, you can enter your message.