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OpenAI and Synopsys sign multi-year GPT-Synopsys deal to build a chip-design model

OpenAI will license Synopsys' design software to develop the model and host it, and the two will share revenue from a bundled service sold to chipmakers.

By · Editor

· 3 min read · Fact-checked

The 60-second brief

  • 1On September 30, 2026, Synopsys and OpenAI signed a multi-year deal to jointly develop GPT-Synopsys for chip design.
  • 2The model will operate Synopsys' EDA tools on OpenAI-hosted infrastructure, sold as a bundle with shared revenue.
  • 3Early engagements with chip customers are underway; no financial terms, pricing or launch date were disclosed.

The news

Synopsys (SNPS) and OpenAI announced on September 30, 2026, a multi-year partnership to jointly develop GPT-Synopsys, a specialized AI model optimized to run Synopsys' chip-design software, under a revenue-sharing arrangement and a joint plan to sell it to customers worldwide.

Synopsys makes electronic design automation (EDA) software, the tools engineers use to design and verify semiconductors. The companies said that current AI agents connect general-purpose models to those tools, and that the next step is to make a frontier model an expert user: running the tools, reading their outputs and iterating on a design to improve power, performance and area, the three measures chip teams trade off.

Under the plan, engineers would hand GPT-Synopsys objectives ranging from power and performance tuning to timing and verification closure. Agents would run the tools, interpret results, make changes and iterate toward verified results for an engineer to review. The model will run on OpenAI-hosted infrastructure, work with customers' own agent systems and plug into Synopsys.ai and the Synopsys Autopilot agentic AI platform. Early engagements with leading semiconductor customers are underway, the companies said, without naming them.

OpenAI will license Synopsys' EDA tools to develop the model, and the two will collaborate on research and go-to-market as preferred partners with a shared revenue framework. The joint service will bundle compute, the model and tool licenses. Customer data will not be used to train the model and will be encrypted at rest and in transit, with configurable retention, audit and permission controls, according to the release. No financial terms, pricing or availability date were disclosed.

Synopsys unveiled the deal at its investor day in New York, The Stack and Reuters reported. Synopsys shares jumped 10% on Thursday, October 1, after the company forecast fiscal 2027 revenue of $11.10 billion to $11.20 billion, above analysts' average estimate of $10.81 billion, and announced the OpenAI deal and a separate multi-year Amazon Web Services licensing deal worth more than $1 billion, Reuters reported.

OpenAI President Greg Brockman said the work will help engineers explore more designs and "get to a working chip faster." Synopsys Chief Executive Sassine Ghazi said the agreement will widen access to Synopsys' design capabilities while keeping the rigor manufacturing requires.

The numbers

Synopsys share move, October 1
+10% (Reuters)
Synopsys fiscal 2027 revenue forecast
$11.10B-$11.20B
Analysts' average fiscal 2027 estimate
$10.81B
Separate AWS chip-IP licensing deal
More than $1 billion
Disclosed value of OpenAI deal
Not disclosed

Why CEOs should care

For chip companies and engineering leaders, the promise is more design options explored in the same schedule. The companies frame the model as doing the tool work while engineers review verified results, so accountability for first-time-right silicon stays with the customer. Teams evaluating it should test it on real blocks, measure how often its changes pass verification and ask what happens when the model and the tools disagree.

For CFOs and procurement, the commercial model is the change. A joint service that bundles compute, model and EDA licenses, with revenue shared between Synopsys and OpenAI, is a different way to buy design software than tool licenses alone. Ask how pricing will be measured, how it compares with current license spending and how dependent the service makes you on OpenAI-hosted infrastructure.

For CISOs, chip designs are among a company's most valuable IP, and GPT-Synopsys will run on OpenAI's infrastructure. The companies say customer data will not train the model and will be encrypted, with retention and audit controls. Security teams should ask where design data is processed, who at each vendor can access it, how export-control obligations are handled and whether the audit logs meet internal standards.

The bigger picture

The deal shows frontier AI labs moving from general chatbots into vertical models built with industry incumbents that own the tools and the data. For OpenAI, chip design is also close to home: The Stack noted that the company has developed its first custom AI chip with Broadcom. For Synopsys, packaging its tools inside an AI service creates a new channel to customers that may not buy its full tool suite, which Ghazi framed as expanding access.

What’s next

Watch for a launch date, pricing and the names of the first semiconductor customers, none of which the companies disclosed. Synopsys' fiscal 2027 runs through October 31, 2027, according to Reuters, so investors will look for any revenue from the partnership in that outlook. Rival EDA vendors may also seek their own deals with AI labs.

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Companies in this story

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Written by

Editor · Technology & Business Writer

Hussein is a writer and business technology enthusiast focused on the intersection of technology, entrepreneurship, finance, artificial intelligence, and digital innovation.

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About this story. Researched from primary sources whenever they are available and fact-checked before publication.

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