When will GPT-Synopsys be available?

GPT-Synopsys has no public release date. The 30 September 2026 announcement says early technology engagements with leading semiconductor customers are already underway, and that OpenAI and Synopsys will jointly bring GPT-Synopsys to customers worldwide through a go-to-market collaboration, but it does not give a timeline for general availability or pricing.

Will GPT-Synopsys train on my chip designs?

No, according to the announcement. GPT-Synopsys is being built with enterprise security, governance and access controls, and customer design data is not used to train the model. Synopsys says design data is encrypted both in transit and at rest while GPT-Synopsys works on OpenAI-hosted infrastructure.

What chip-design tasks can GPT-Synopsys do?

GPT-Synopsys is aimed at tasks engineers can hand to agents as goals: optimizing power, performance and area (PPA), reaching timing closure and reaching verification closure. For each goal, the agents run Synopsys EDA tools, interpret the results, make design changes and iterate, then hand a verified outcome back to engineers to review.

OpenAI · 2026-09-30 · major

GPT-Synopsys — OpenAI and Synopsys build a model that runs chip-design tools

GPT-Synopsys is a chip-design model OpenAI and Synopsys are building under a multi-year deal. It is trained to run Synopsys EDA tools, read their results and iterate on power, performance and area. Early customer trials have started.

Synopsys and OpenAI logos for the GPT-Synopsys announcement

OpenAI and Synopsys are training a frontier model to use chip-design software the way an expert engineer does.

Quick facts

Makers	OpenAI and Synopsys
Announced	30 September 2026
Hosting	OpenAI-hosted infrastructure
Integrations	Synopsys.ai, Synopsys Autopilot, customer agent harnesses
Availability	Early engagements with semiconductor customers
Data policy	Customer design data encrypted, not used for training

What is it?

GPT-Synopsys, announced on 30 September 2026, is a specialized model that combines OpenAI's frontier AI with Synopsys' electronic design automation (EDA) tools and chip-design know-how. Synopsys licenses its EDA tools to OpenAI under a multi-year agreement with revenue sharing and joint sales. The model is not generally available yet; early technology engagements with semiconductor customers are underway.

How does it work?

Engineers give agents a design goal, such as power, performance and area (PPA) optimization, timing closure or verification closure. The agents then run the EDA tools, interpret the output, change the design and repeat until they reach a verified result for engineers to review. The model runs on OpenAI-hosted infrastructure and plugs into customer agent harnesses, Synopsys.ai and the Synopsys Autopilot agentic platform.

Why does it matter?

Chip design depends on long loops of running tools and reading results, which is exactly the kind of work agents can take over. Synopsys says customer design data is encrypted and not used to train the model, a key condition for chip companies. The partners argue engineers will explore more design options and reach a working chip faster.

Who is it for?

semiconductor and chip-design teams

Frequently asked questions

When will GPT-Synopsys be available?: GPT-Synopsys has no public release date. The 30 September 2026 announcement says early technology engagements with leading semiconductor customers are already underway, and that OpenAI and Synopsys will jointly bring GPT-Synopsys to customers worldwide through a go-to-market collaboration, but it does not give a timeline for general availability or pricing.
Will GPT-Synopsys train on my chip designs?: No, according to the announcement. GPT-Synopsys is being built with enterprise security, governance and access controls, and customer design data is not used to train the model. Synopsys says design data is encrypted both in transit and at rest while GPT-Synopsys works on OpenAI-hosted infrastructure.
What chip-design tasks can GPT-Synopsys do?: GPT-Synopsys is aimed at tasks engineers can hand to agents as goals: optimizing power, performance and area (PPA), reaching timing closure and reaching verification closure. For each goal, the agents run Synopsys EDA tools, interpret the results, make design changes and iterate, then hand a verified outcome back to engineers to review.