Synopsys and OpenAI Launch GPT-Synopsys AI Model to Accelerate Chip Design

Synopsys OpenAI Partnership Unveils Specialized AI Model for Chip Design

Synopsys and OpenAI have announced a multi-year revenue-sharing partnership to develop GPT-Synopsys, a specialized AI model for chip design that combines OpenAI's frontier AI technology with Synopsys' electronic design automation software1

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. The announcement came at a Synopsys investor summit where CEO Sassine Ghazi revealed the company expects 15% revenue growth for fiscal 2027, surpassing analyst estimates of 11.19% growth1

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. Synopsys shares rose as much as 7% following the partnership and revenue growth forecast announcement4

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How GPT-Synopsys Will Automate Chip Design Processes

Unlike general-purpose models connected to engineering software, GPT-Synopsys is being designed to become an expert user of EDA tools themselves2

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. The AI model for chip design will be specifically trained to handle tasks from circuit description in code-like language to determining transistor layout across billions of components on silicon1

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. Engineers will delegate design objectives involving power performance area, timing, or verification, and the system will run tools, analyze outputs, implement changes, and iterate toward verified results2

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. OpenAI co-founder Greg Brockman stated the model aims "to be able to shave off weeks, months from the design process and to bring more chips to the world"1

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Revenue-Sharing Partnership Structure and Business Model

The revenue-sharing partnership involves OpenAI paying Synopsys a training subscription fee for learning to use Synopsys tools1

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. When customers use GPT-Synopsys, Synopsys and OpenAI will share revenue based on how effectively the model improves semiconductor design1

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. Sassine Ghazi emphasized, "We structured the agreement in a way that it will not be cannibalizing our business. It will be an upside to our business given we're delivering more value to the customer"4

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. Under the agreement, OpenAI will license Synopsys' EDA tools to develop the specialized model, and the companies will collaborate on joint marketing initiatives to make GPT-Synopsys available globally3

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Integration with Autonomous Chip Engineering Platform

GPT-Synopsys will run on OpenAI-hosted infrastructure and integrate with Synopsys.ai and Synopsys Autopilot, the company's agentic engineering platform for autonomous chip engineering2

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. The system is being designed to work with customers' existing agent systems2

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. This partnership builds on Synopsys' broader push toward autonomous chip engineering, following the company's recent unveiling of its Autopilot platform and long-horizon AgentEngineer systems that can plan and execute multi-step engineering workflows2

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. Synopsys reported that deployments of this technology have demonstrated up to 50x faster verification closure, 20 percent higher coverage, and a 30 percent productivity boost2

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Validation Requirements and Data Privacy Measures

Despite the AI model's capabilities, GPT-Synopsys work will still be double-checked by Synopsys tools using traditional computing techniques to verify whether a chip will function correctly1

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. Ghazi explained, "The model needs these guardrails in order to check the physics. The need for validating with the highest level of fidelity, what we call sign-off or ground truth, is essential"4

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. Addressing data privacy concerns, Synopsys confirmed that customer-specific chip-design data will not be used to train the model2

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. Data will be encrypted both at rest and in transit, while customers will have configurable controls covering retention, permissions, and auditing2

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. Early technology engagements with semiconductor customers are already underway, though the companies have not disclosed specific names2

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