---
title: "Synopsys, Nvidia deepen collaboration on agentic AI workflows for chip and thermal engineering"
type: "News"
locale: "en"
url: "https://longbridge.com/en/news/293860436.md"
description: "Synopsys and NVIDIA are deepening their collaboration to develop autonomous 'agentic AI' workflows for chip design verification and thermal simulation. Leveraging NVIDIA's Nemotron models and CUDA-X libraries, Synopsys demonstrated an agent capable of accelerating time-to-validated RTL by up to 50X with improved coverage. These agentic EDA and CAE capabilities are expected to be available in the second half of 2026, with customers currently evaluating the technology."
datetime: "2026-07-27T00:45:37.000Z"
locales:
  - [zh-CN](https://longbridge.com/zh-CN/news/293860436.md)
  - [en](https://longbridge.com/en/news/293860436.md)
  - [zh-HK](https://longbridge.com/zh-HK/news/293860436.md)
generator: "portal-rs"
---

# Synopsys, Nvidia deepen collaboration on agentic AI workflows for chip and thermal engineering

-   Synopsys expanded its collaboration with NVIDIA to build autonomous, long-running “agentic AI” workflows across chip design verification and thermal simulation. \* The companies are using NVIDIA Nemotron models, Agent Toolkit, CUDA-X libraries, accelerated computing, and the OpenShell runtime to power the workflows. \* Synopsys demonstrated an autonomous design-verification agent targeting up to 50X faster time-to-validated RTL with a 20% coverage improvement. \* Availability is planned for the second half of 2026, with customers already evaluating the agentic EDA and CAE capabilities. Disclaimer: This news brief was created by Public Technologies (PUBT) using generative artificial intelligence. While PUBT strives to provide accurate and timely information, this AI-generated content is for informational purposes only and should not be interpreted as financial, investment, or legal advice. Synopsys Inc. published the original content used to generate this news brief via PR Newswire (Ref. ID: 202607262045PR\_NEWS\_USPR\_\_\_\_\_SF12189) on July 27, 2026, and is solely responsible for the information contained therein. © Copyright 2026 - Public Technologies (PUBT)

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> **Disclaimer: This article is for reference only and does not constitute any investment advice.**