PRNewsWire
27 Jul 2026, 00:45 UTC · 2h ago
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Synopsys has developed a fully autonomous design verification workflow that reduces time-to-validated RTL by up to 50x and increases coverage by 20%. — A 50x reduction in verification time represents a massive leap in productivity that could significantly accelerate chip time-to-market for Synopsys customers.
+0.60Synopsys is integrating NVIDIA's Nemotron and accelerated computing platform to power agentic AI workflows across the entire silicon and systems development lifecycle. — Deepening the technical integration between two industry leaders in AI infrastructure and EDA software strengthens the competitive moat for both companies.
+0.40New autonomous analog and mixed-signal (AMS) workflows are reported to improve engineering productivity by up to 3x. — While less dramatic than the verification gains, automating complex analog design removes a traditional human-intensive bottleneck in chip design.
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Synopsys has deployed an autonomous agentic CAE workflow for electronics thermal analysis using NVIDIA tools and Ansys Icepak software. — Expanding AI agents into thermal simulation improves the 'system-level' design efficiency, though it is a more niche application than general chip verification.
+0.20Which stocks this story touches
The company announced advancements in agentic AI for engineering that significantly multiply productivity and compress development cycles.
The company's AI infrastructure and Nemotron technology are the foundational enablers for Synopsys' new autonomous engineering workflows.
[mutual] Synopsys and NVIDIA are collaborating to develop autonomous engineering workflows using NVIDIA's AI infrastructure and tools.
[a_to_b] Synopsys uses NVIDIA's Nemotron, OpenShell runtime, and Agent Toolkit to power its agentic AI capabilities.
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