OpenAI and Synopsys Partner to Launch GPT-Synopsys for Agentic Chip Design
Key point
The new service integrates OpenAI's frontier models with Synopsys' EDA tools to automate chip design workflows, currently in early engagements with major semiconductor customers.
Details
OpenAI and Synopsys have announced GPT-Synopsys, a service that combines OpenAI's frontier models with Synopsys' electronic design automation (EDA) technology and domain expertise. The initiative aims to revolutionize chip design by enabling AI agents to directly operate Synopsys tools and perform reasoning for design and verification tasks.
Agentic Workflow for Chip Design
The system allows engineers to delegate specific design goals, such as PPA optimization, timing closure, and verification closure. The AI agent then executes tools, interprets results, implements changes, and iterates until it produces verified outputs for engineer review. This workflow is designed to help engineers explore more design possibilities and reach functional chips faster.
Integration and Infrastructure
GPT-Synopsys runs on OpenAI-hosted infrastructure and is designed to interoperate with customer agent harness systems. It features deep integration with Synopsys.ai and Synopsys Autopilot, the company's agentic AI platform. The service is offered as a bundled package including computing, models, and licenses.
Security and Data Policy
The partnership emphasizes enterprise-grade security, governance, and access controls. Key data protection measures include:
- No training on customer data: Customer design data is explicitly excluded from model training.
- Encryption: Data is encrypted both at rest and in transit.
- Controls: Configurable retention, audit logs, and permission controls are available to manage data access.
Current Status
The service is currently in early technology engagements with major semiconductor customers. Greg Brockman, OpenAI President and Co-founder, stated that the collaboration leverages cutting-edge technology to improve the systems driving AI, ultimately aiming to provide better AI to more people through better chips.
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