- Synopsys, AMD, and Microsoft have introduced new agentic EDA workflows for chip design, which are available for evaluation on Microsoft Discovery to accelerate chip design.
- Synopsys is collaborating with Intel Foundry to implement AI-powered electronic design automation (EDA) flows on the Intel 14A process.
- The new workflows have shown up to 40% reduction in cycle time during initial evaluations, significantly enhancing productivity.
- AI-powered design workflows are being enabled by Synopsys, AMD, and Microsoft, combining large-scale reasoning, domain expertise, and cloud-scale compute to accelerate the development of next-generation AI infrastructure silicon.
- AI is reshaping engineering, according to Alex Starr, AMD Corporate Fellow, who noted that the collaboration with Microsoft and Synopsys is enabling a new generation of AI-assisted design workflows.
- Microsoft Discovery is designed to accelerate scientific and engineering innovation with AI, addressing complex engineering challenges like chip design, as stated by Aseem Datar, CVP of Product Innovation for Microsoft Discovery and Quantum.
- Silicon complexity is increasing due to AI-powered systems and hyperscale computing, making it essential for engineering teams to avoid traditional tradeoffs between performance, quality, and development speed, according to Ravi Subramanian, Chief Product Management Officer at Synopsys.
Synopsys, AMD, and Microsoft are revolutionizing chip design with new agentic AI workflows that significantly enhance efficiency. The collaboration introduces two innovative electronic design automation (EDA) workflows, which have shown a 40% reduction in cycle time during initial evaluations.12
These workflows, developed in partnership with Microsoft, are designed to streamline the chip design lifecycle, enabling engineers to tackle the increasing complexity of silicon development. “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,” stated Alex Starr, AMD Corporate Fellow.6
The new workflows leverage large-scale reasoning, domain expertise, and cloud-scale compute to accelerate the creation of next-generation AI infrastructure silicon. Early evaluations indicate a 25–40% reduction in debug cycle time, translating to significant savings in engineering efforts and improved productivity. “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,” remarked Ravi Subramanian, Chief Product Management Officer, Synopsys.8
Microsoft's Discovery platform is also integral to this advancement, as Aseem Datar, CVP of Product Innovation for Microsoft Discovery and Quantum, noted, “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.”7
“The new agentic EDA workflows, available for evaluation on Microsoft Discovery, aim to enhance productivity by reducing debug cycle time by 25–40%. Aseem Datar, CVP at Microsoft, emphasized that chip design is a critical application for AI, addressing complex engineering challenges.”
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