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Synopsys Advances Agentic AI Chip Design with AMD and Microsoft

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Synopsys (NASDAQ: SNPS) introduced new autonomous agentic AI workflows for chip design, developed with Microsoft and available for evaluation on Microsoft Discovery. According to Synopsys, the fully-autonomous debug closure workflow, powered by AgentEngineer technology, has shown 25–40% reductions in debug cycle time, cutting weeks of engineering effort.

A second autonomous implementation and closure workflow, using Synopsys implementation agents and Fusion Compiler on Azure, has demonstrated improved quality-of-results. AMD is actively evaluating these workflows for next-generation products. Synopsys is showcasing the solutions at the 2026 DAC Chips to Systems Conference, where customers can see demonstrations and request evaluation access.

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Positive

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Negative

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News Explained

The disclosure expands Synopsys’ announced agentic design scope beyond its earlier specification-to-RTL workflow with two new autonomous EDA workflows, which the company says are the first EDA applications available for evaluation on Microsoft Discovery.

Market Context

-1.31% was the average 24-hour move across Synopsys’s five AI-tagged historical events. That record ...
Analysis

-1.31% was the average 24-hour move across Synopsys’s five AI-tagged historical events. That record adds a mixed-response baseline to the workflow announcement; recent insider activity was Net Selling, a risk factor to monitor alongside customer adoption.

Key Figures

New workflows: 2 workflows Initial cycle-time reduction: Up to 40% Debug cycle-time reduction: 25–40%
3 metrics
New workflows 2 workflows Developed with Microsoft and used by AMD
Initial cycle-time reduction Up to 40% Fully-autonomous debug closure workflow
Debug cycle-time reduction 25–40% Early evaluations of autonomous debug closure

Previous AI Reports

5 past events · Latest: May 28 (Positive)
Same Type Pattern 5 events
Date Event Sentiment 24h Move Catalyst
May 28 AI collaboration Positive -8.6% Expanded Samsung collaboration introduced AI-powered flows for advanced 2nm processes.
Mar 11 AI product launch Positive +0.1% Ansys 2026 R1 added integrated workflows, AI simulation, and digital twin capabilities.
Mar 11 AI verification update Positive +0.1% Hardware-assisted verification enhancements delivered higher performance and capacity for AI designs.
Mar 10 AI platform launch Positive -1.1% Electronics Digital Twin platform targeted virtual validation for physical AI systems.
Jan 06 AI automotive showcase Positive +3.0% CES showcase highlighted virtualized automotive engineering and potential testing-cost reductions.

24h Move is the share-price change in the day after each event; other market factors may also have contributed.

Pattern Detected

AI-tagged announcements produced mixed 24-hour reactions, with both aligned gains and divergences.

AI-generated analysis. How Rhea-AI works. Not financial advice.

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Introduces Industry's First Autonomous EDA Workflows on Microsoft Discovery to Accelerate Engineering from Specification to Silicon

Key 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 time

SUNNYVALE, 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.

Synopsys

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 existing collaboration and previously announced agentic specification to RTL workflow, marking the first EDA applications available for evaluation on Microsoft Discovery. Customers can request evaluation access through Synopsys. AMD is actively evaluating the application of autonomous workflows to accelerate the development of their next-generation products.

"AI is reshaping engineering. Together with Microsoft and Synopsys, we're enabling a new generation of AI-assisted design workflows that augment human ingenuity with intelligent automation and optimization," said Alex Starr, AMD Corporate Fellow. "AI driven workflows powered by Discovery and leveraging AI tooling, such as RCA with deep EDA domain knowledge, are a paradigm we see accelerating scaling and deployment, helping improve both design velocity and overall silicon quality."

"We designed Microsoft Discovery to accelerate scientific and engineering innovation with AI, and chip design is an ideal application for Discovery as it addresses one of the most complex engineering challenges on the planet," said Aseem Datar, Corporate Vice President (CVP) of Product Innovation for Microsoft Discovery and Quantum. "We are excited about Synopsys' open, interoperable approach to their agentic platform and the collaborative effort with Synopsys and AMD to make these agentic AI EDA workflows the first available on Discovery."

"As AI-powered systems and hyperscale computing push silicon complexity to unprecedented levels, engineering teams can no longer afford traditional tradeoffs between performance, quality, and development speed," said Ravi Subramanian, Chief Product Management Officer, Synopsys. "Synopsys is addressing this challenge by applying AI capabilities with increasing levels of autonomy to accelerate and transform silicon engineering."

Join Synopsys at the 2026 DAC Chips to Systems Conference
This week at DAC, Synopsys is showcasing AI-powered engineering solutions that enable customers to rapidly design from silicon to system with increased quality, efficiency, precision, and scale. Attendees can visit Synopsys' booth #631 for demonstrations of newly announced autonomous workflows. For a complete list of Synopsys sessions and activities at DAC 2026, visit the Synopsys DAC 2026 event page. 

About Synopsys
Synopsys, Inc. (Nasdaq: SNPS) is the leader in engineering solutions from silicon to systems, enabling customers to rapidly innovate AI-powered products. We deliver industry-leading silicon design, IP, simulation and analysis solutions, and design services. We partner closely with our customers across a wide range of industries to maximize their R&D capability and productivity, powering innovation today that ignites the ingenuity of tomorrow. Learn more at www.synopsys.com.

© 2026 Synopsys, Inc. All rights reserved. Synopsys, Ansys, the Synopsys and Ansys logos, and other Synopsys trademarks are available at https://www.synopsys.com/company/legal/trademarks-brands.html. Other company or product names may be trademarks of their respective owners.

Forward-Looking Statements
This press release contains forward-looking statements, which involve risks, uncertainties and other factors that could cause our actual results, time frames, or achievements to differ materially. Information on potential risks, uncertainties and other factors that could affect our results is included in filings we make with the SEC from time to time, including in the sections entitled "Risk Factors" in our latest Annual Report on Form 10-K and Quarterly Report on Form 10-Q.

Contacts
Media 
Pete Smith
pete.smith@synopsys.com

Kelli Wheeler
kelliw@synopsys.com
corp-pr@synopsys.com 

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SOURCE Synopsys, Inc.

FAQ

What did Synopsys (SNPS) announce about agentic AI chip design with AMD and Microsoft on July 27, 2026?

Synopsys announced new autonomous agentic AI chip design workflows developed with Microsoft and evaluated by AMD. According to Synopsys, these EDA workflows on Microsoft Discovery automate verification, debug, and implementation tasks to accelerate engineering from specification to silicon across the chip design lifecycle.

How much debug cycle time can Synopsys’ new autonomous EDA workflow reduce for SNPS customers?

Synopsys reports its fully-autonomous debug closure workflow can reduce debug cycle time by 25–40%. According to Synopsys, this AI-powered verification and root-cause analysis flow can save many weeks of engineering effort while helping teams resolve design issues faster and improve overall silicon quality.

What are the two new autonomous EDA workflows Synopsys (SNPS) is offering on Microsoft Discovery?

Synopsys is offering a fully-autonomous debug closure workflow and a fully-autonomous implementation and closure workflow. According to Synopsys, the debug flow targets verification and RCA, while the implementation flow uses Fusion Compiler on Azure to automate quality-of-results tuning and closure.

How is AMD involved in Synopsys’ new agentic AI workflows for chip design (SNPS)?

AMD is actively evaluating Synopsys’ autonomous workflows to accelerate development of its next-generation products. According to Synopsys, AMD is using these AI-powered design workflows on Microsoft Discovery to explore improved design velocity, deployment scaling, and silicon quality for advanced AI infrastructure chips.

How can customers access Synopsys’ autonomous agentic AI workflows on Microsoft Discovery?

Synopsys’ autonomous EDA workflows are available for evaluation on Microsoft Discovery, with access requested through Synopsys. According to Synopsys, interested customers can contact the company to obtain evaluation access and may also see demonstrations at events such as DAC 2026.

What role does Microsoft Discovery play in Synopsys (SNPS) agentic AI EDA workflows?

Microsoft Discovery orchestrates Synopsys’ autonomous workflows, combining large-scale AI reasoning with domain-specific EDA agents. According to Synopsys, Discovery enables fully-autonomous debug and implementation flows that leverage cloud-scale compute to address complex chip design challenges and accelerate engineering innovation.