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

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Synopsys (NASDAQ: SNPS) announced at the 2026 DAC Chips to Systems Conference new fully autonomous, long-running AI agents for chip and electronics-system engineering, developed in collaboration with NVIDIA. The agentic workflows span EDA and CAE, using NVIDIA Nemotron and CUDA-X on NVIDIA’s accelerated computing platform secured by OpenShell.

Key offerings include a fully autonomous design verification workflow that orchestrates the full chip verification lifecycle, delivering up to 50X faster time-to-validated RTL and 20% higher coverage, autonomous AMS workflows with up to 3X productivity gains, and a GPU-accelerated portfolio of 20+ EDA and multiphysics products, such as PrimeSim SPICE with up to 18X speedup. Customers are evaluating these capabilities, with broader availability planned for the second half of 2026.

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Market Context

The platform record shows mixed outcomes across recent Synopsys announcements, including divergence ...
Analysis

The platform record shows mixed outcomes across recent Synopsys announcements, including divergence after AI and partnership items. Current insider data is labeled Net Selling, while customer evaluation and planned availability frame execution and timing risks.

Key Figures

Validated RTL speedup: up to 50X faster Coverage improvement: 20% additional improvement AMS productivity: up to 3X +5 more
8 metrics
Validated RTL speedup up to 50X faster Fully autonomous design verification workflow
Coverage improvement 20% additional improvement Autonomous verification closure workflow
AMS productivity up to 3X Autonomous analog and mixed-signal workflow
GPU-enabled products more than 20 products EDA and multiphysics portfolio
PrimeSim SPICE speedup up to 18X faster NVIDIA GPU-accelerated simulations
Quantum chemistry speedup up to 50X Gaussian-basis quantum chemistry simulations
Machine-learned force field speedup up to 200x faster NVIDIA Blackwell GPU infrastructure
FDTD simulation speedup 10X speedup NVIDIA GPUs compared to CPUs

Historical Context

5 past events · Latest: Jul 22 (Neutral)
Pattern 5 events
Date Event Sentiment 24h Move Catalyst
Jul 22 earnings scheduling Neutral -1.1% Announced the fiscal third-quarter reporting date and conference call schedule.
Jun 17 product availability Positive +3.0% Announced initial Multiphysics Fusion solutions available for customer deployment.
Jun 15 technology collaboration Neutral -1.3% Collaborated with Murata to provide simulation models through Ansys analysis tools.
May 28 AI technology update Positive -8.6% Expanded AI-powered design flows for Samsung Foundry advanced processes.
May 27 board appointment Neutral -8.6% Appointed Jesse Cohn as an independent director under a cooperation agreement.

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

Pattern Detected

Recent Synopsys news reactions were mixed, with the Multiphysics Fusion update aligned while AI, partnership, and governance-related items diverged.

Key Terms

spice
1 terms
spice technical
"PrimeSim™ SPICE simulations"
Spice is a common name for synthetic cannabinoid products sold as herbal blends or liquids that mimic marijuana’s effects but are chemically different. Regulators treat these substances as controlled or hazardous because they can cause unpredictable health harms and trigger recalls, bans, or criminal enforcement; for investors, that means sudden legal risk, liability, regulatory compliance costs, and shifts in demand that can affect companies across retail, testing, health care, and chemicals.

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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.

Synopsys

"AI is fundamentally reshaping engineering, and Synopsys is at the forefront of this transformation, enabling fully autonomous agents across every stage of silicon and systems development," said Ravi Subramanian, Chief Product Management Officer at Synopsys. "Our close collaboration with NVIDIA continues to accelerate the development of next-generation AI technologies by combining Synopsys' domain expertise spanning EDA and CAE with NVIDIA's advanced AI infrastructure and technologies. Together, we are enabling a new class of autonomous engineering workflows that elevate productivity, unlock deeper insights, and help customers innovate faster."

"The future of engineering is agentic, where AI agents reason, plan, execute complex workflows and verify their own work across the entire product development lifecycle," said Tim Costa, Vice President and General Manager for Computational Engineering at NVIDIA. "Synopsys is using NVIDIA AI tools and accelerated computing to build simulation and AI physics agents that help teams close verification, automate thermal analysis and compress development cycles from weeks to hours." 

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-Signal (AMS) Workflows
AI-powered Custom Compiler™ Layout Synthesis (CCLS) is laying the foundation for autonomous analog and mixed-signal (AMS) design by automating layout generation, optimization, and design-layout convergence. Building on these capabilities, Synopsys AgentEngineer™ technology orchestrates multi-step analog flow spanning design creation, SPICE simulation, implementation, and verification. Engineers define design intent and performance goals in natural language, while autonomous agents execute and optimize the workflow, accelerating design closure and improving productivity by up to 3X.2

Delivering Autonomous Engineering Agents Across Design and Simulation
Synopsys developed a fully autonomous agentic CAE workflow for electronics thermal analysis using NVIDIA Agent Toolkit and NVIDIA CUDA-X libraries. Built with Ansys Icepak® electronics cooling simulation software — now part of the Synopsys portfolio — and open-source PyAEDT libraries, the agentic workflow autonomously executes simulation set-up, pre- and post-processing in a fraction of the time required for traditional approaches.

Extending the Value of GPU Acceleration to More Engineering Workflows
Synopsys continues to accelerate innovation with the industry's broadest portfolio of more than 20 GPU-enabled EDA and multiphysics products, unlocking deeper analysis and faster time-to-market across the design flow — from physical verification to photonics simulation. Recent developments include:

  • PrimeSim™ SPICE circuit simulations perform up to 18X faster leveraging NVIDIA GPUs.3
  • Synopsys QuantumATK® accelerates next-generation semiconductor material innovation by up to 50X for Gaussian-basis quantum chemistry simulations enabled by cuEST and up to 200x faster machine-learned force field simulations using NVIDIA Blackwell GPU infrastructure.
  • Ansys Lumerical FDTD™ 3D electromagnetic simulation software achieved a 10X speedup on NVIDIA GPUs compared to CPUs when used within Synopsys' Multiphysics Fusion™ solution for analog and photonic design. 
  • In addition, Synopsys continues its deep collaboration with NVIDIA leveraging CUDA-X libraries to accelerate its solvers, including cuLithocuDSScuEST, and use cases in development with the newly announced cuISS library.

Availability
Customers are currently evaluating Synopsys' agentic EDA and CAE capabilities with availability planned for the second half of 2026. 

Follow Synopsys online for updates via our Newsroom, on LinkedIn, and on X

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

1 Compared to traditional verification workflows not powered by AgentEngineer technology.
2 AMS workflow leverages CCLS which delivers 3X gains in productivity.
3 PrimeSim SPICE delivered approximately 18X faster overall wall-clock time by introducing NVIDIA GPUs compared to CPU-only workloads.

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. 

Media Contacts
Kelli Wheeler, kelliw@synopsys.com
Pete Smith, pete.smith@synopsys.com
corp-pr@synopsys.com 

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SOURCE Synopsys, Inc.

FAQ

What autonomous engineering workflows did Synopsys (SNPS) announce with NVIDIA in July 2026?

Synopsys announced fully autonomous, long-running AI workflows for chip design, verification, and electronics thermal analysis, built with NVIDIA technology. According to Synopsys, these agentic workflows span EDA and CAE, orchestrate complex multi-step tasks, and aim to convert manual engineering processes into automated insight-delivery flows.

How much faster is Synopsys’ new autonomous design verification workflow for SNPS customers?

Synopsys reports its autonomous design verification workflow can deliver up to 50X faster time-to-validated RTL with 20% additional coverage. According to Synopsys, an orchestrator agent drives a closed-loop flow from test planning to coverage closure, compressing verification effort from weeks of manual work to hours.

What GPU-accelerated tools did Synopsys (SNPS) highlight in its July 26, 2026 announcement?

Synopsys highlighted a portfolio of more than 20 GPU-enabled EDA and multiphysics products, including PrimeSim SPICE, QuantumATK, and Ansys Lumerical FDTD. According to Synopsys, PrimeSim SPICE achieves up to 18X speedup, while QuantumATK and Lumerical FDTD see up to 50X–200X and 10X improvements, respectively.

When will Synopsys’ agentic EDA and CAE capabilities be available to SNPS customers?

Synopsys states that customers are already evaluating its agentic EDA and CAE capabilities, with general availability planned for the second half of 2026. According to Synopsys, these offerings include autonomous verification, AMS workflows, and CAE thermal-analysis agents built on NVIDIA’s accelerated computing and AI infrastructure.

How does NVIDIA technology support Synopsys’ new autonomous engineering workflows for SNPS?

NVIDIA supports Synopsys workflows through Nemotron models, CUDA-X libraries, Agent Toolkit, and the OpenShell runtime on NVIDIA GPUs. According to Synopsys, these technologies power simulation and AI physics agents, enabling large speedups in verification, thermal analysis, and quantum and photonic simulations across engineering workflows.

What is Synopsys’ autonomous CAE thermal management workflow announced at DAC 2026?

Synopsys introduced a fully autonomous CAE workflow for electronics thermal analysis using Ansys Icepak and PyAEDT, running on NVIDIA technology. According to Synopsys, the agentic flow automates simulation setup, pre-processing, and post-processing, completing these steps in a fraction of the time required by traditional manual thermal-analysis methods.

How do Synopsys’ autonomous AMS workflows improve analog and mixed-signal design productivity for SNPS users?

Synopsys’ AMS workflows build on AI-powered Custom Compiler Layout Synthesis and AgentEngineer to automate multi-step analog design flows. According to Synopsys, engineers specify intent and performance goals in natural language, and autonomous agents execute simulations and implementation, enabling up to 3X productivity gains in design convergence and closure.