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Synopsys Advances Agentic AI Chip Design with AMD and Microsoft
Synopsys Advances Agentic AI Chip Design with AMD and
About this update from Synopsys, Inc.
Introduces Industry's First Autonomous EDA Workflows on Microsoft Discovery to Accelerate Engineering from Specification to SiliconKey Highlights Synopsys is advancing an open, interoperable agentic AI stack for autonomous workflows across the chip design lifecycle.Introducing two new agentic EDA workflows, developed in collaboration with Microsoft and used by AMD, available for evaluation on Microsoft Discovery to accelerate chip design.Fully-autonomous debug closure workflow initial results demonstrate up to 40% reduction in cycle timeSUNNYVALE, Calif., July 27, 2026 /PRNewswire/ -- Synopsys, Inc. (NASDAQ: SNPS) announced new autonomous agentic AI workflows for chip design, developed in collaboration with Microsoft and available for evaluation on Microsoft Discovery. AI is fundamentally reshaping engineering, and Synopsys is building a comprehensive, open agentic AI stack to increase engineering autonomy and accelerate product design from silicon to systems. This week at the 2026 DAC Chips to Systems Conference, Synopsys is showcasing new fully autonomous workflows powered by AgentEngineer™ technology, extending agentic AI from task automation to long-running engineering execution.This includes Synopsys autonomous workflows on Microsoft Discovery:Synopsys fully-autonomous debug closure workflow: A fully autonomous AI-powered verification and root cause analysis (RCA) workflow orchestrated with Microsoft Discovery, brings together domain-specific and task-level agents to identify design failures, automate debug tasks, and accelerate validation— helping engineering teams resolve issues faster and improve silicon quality. Early evaluations show reductions of 25–40% in debug cycle time, saving many weeks of engineering efforts and improving productivity.Synopsys fully-autonomous implementation and closure workflow: An autonomous workflow leveraging Synopsys implementation agents and Fusion Compiler on Azure brings together domain-specific and task-level agents to automate implementation quality-of-results (QoR) tuning and closure. Initial results demonstrate improved QoR.Synopsys, AMD, and Microsoft are enabling AI-powered design workflows that combine large-scale reasoning, domain expertise, and cloud-scale compute to accelerate the development of the next generation of AI infrastructure silicon. Today's milestone builds on the exi...