Synopsys Showcases Comprehensive Autonomous Engineering Workflows from Silicon to Systems, Developed with NVIDIA Technology
The workflows aim to cut manual verification from weeks to hours while improving coverage by 20% and reducing token costs, Synopsys said.
- At the 2026 DAC, Synopsys announced new autonomous engineering workflows developed with NVIDIA, integrating agentic AI across silicon and system design to accelerate engineering productivity.
- Verification currently consumes up to 70 percent of design time, creating an industry-wide productivity crisis that prompted Synopsys to develop fully autonomous agents for orchestrating verification cycles.
- Demonstrations at DAC reveal these autonomous workflows compress weeks of manual labor into hours, achieving up to 50X faster time-to-validated RTL with an additional 20% improvement in coverage.
- Expanding its NVIDIA partnership, Siemens integrated its Fuse EDA AI Agent with the Intelligence Center platform to support agent creation and orchestration across enterprise industrial environments.
- Tim Costa, NVIDIA Vice President and General Manager, stated "the future of engineering is agentic," as AI agents reason, plan, and verify complex workflows across product development.
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Synopsys Showcases Comprehensive Autonomous Engineering Workflows from Silicon to Systems, Developed with NVIDIA Technology
New long-running, fully agentic workflows spanning EDA to CAE multiply engineering productivity
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Semiconductor DigestSynopsys and Intel Foundry Fast-Track Customer Readiness from Silicon to Systems on Intel 14A
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