Synopsys Showcases Comprehensive Autonomous Engineering Workflows from Silicon to Systems, Developed with NVIDIA Technology

Synopsys Showcases Comprehensive Autonomous Engineering Workflows from Silicon to Systems, Developed with NVIDIA Technology

Synopsys New long-running, fully agentic workflows spanning EDA to CAE multiply engineering productivity Key Highlights Synopsys unveils a fully autonomous long-running design verification agent that orchestrates the entire chip verification cycle delivering up to 50X faster time-to-validated RTL while achieving 20% additional coverage improvement Demonstrating Synopsys' first fully autonomous computer-aided engineering (CAE) workflow for thermal management and electronic device cooling capable of autonomously executing set-up, pre-processing, and post-processing in a fraction of the time required for manual approaches Expanded portfolio of more than 20 GPU-accelerated Synopsys EDA and multiphysics products, including 18X speedup of PrimeSim™ SPICE simulations SUNNYVALE, Calif. , July 26, 2026 /PRNewswire/ -- Today at the 2026 DAC Chips to Systems Conference, Synopsys, Inc. (NASDAQ: SNPS ) announced advancements to agentic AI for engineering in collaboration with NVIDIA . Synopsys has developed fully autonomous, long-running agentic capabilities for chip design and electronics system design enabled with NVIDIA Nemotron on NVIDIA's accelerated computing platform and secured by the NVIDIA OpenShell runtime. Demonstrated at DAC for the first time, Synopsys' capabilities promise to be a force multiplier for R&D teams beyond task agents, transforming time-consuming chip verification and thermal simulation into automated insight delivery, engineering productivity, and system performance improvement engines.

Introducing Synopsys' Fully Autonomous Design Verification (DV) Workflow Coverage closure has been among the most significant bottlenecks in the DV process. Despite assistive tools, engineering teams spend significant labor and compute resources on incremental improvements. The companies are evolving the DV approach from tool-assisted to a goal-driven workflow that autonomously pursues coverage closure and traces root failure causes throughout development. The solution, built on Synopsys' agentic AI platform and powered by Synopsys AgentEngineer™ technology and NVIDIA's agentic AI infrastructure — including NVIDIA Agent Toolkit, NVIDIA Nemotron 3 Ultra open model, and OpenShell runtime — features a fully autonomous, long-running orchestrator agent. The orchestrator agent deconstructs DV goals from specification, design, test repository, and user inputs, and orchestrates specialized agents and tools in a closed loop workflow spanning the full chip verification lifecycle, from test plan generation to coverage closure and advanced debug. Demonstrated at DAC, the end-to-end fully autonomous verification closure agentic flow compresses weeks of manual labor into hours of agentic execution that achieves up to 50X faster time-to-validated RTL with an additional 20% improvement in coverage. 1 Autonomous Analog & Mixed-Si...