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Cadence introduces Maestro AI models for chip design with Nvidia technology
Customers can customize the models with their chip designs and operate them internally or in the cloud, Cadence said.
Cadence Design Systems launched its Cadence Maestro artificial intelligence portfolio on October 26, offering chipmakers models they can deploy in their own data centers. The company said selected customers would receive the first models through early access in the fourth quarter.
The portfolio draws partly on Nvidia’s Nemotron open-weight model and uses Nvidia OpenShell for security, the companies said. Deployment options include Cadence’s cloud, public clouds and customers’ internal infrastructure behind their firewalls.
Cadence said customers could fine-tune Maestro using their chip designs. In early results, it reported quality gains of up to 30% and cost-efficiency improvements of up to five times against general-purpose models.
The deployment choices differ from those of competitor Synopsys, which announced a revenue-sharing partnership with OpenAI on September 30. Their planned GPT-Synopsys model will operate on infrastructure hosted by OpenAI.
Cadence and Synopsys both provide chip-design software and are developing AI agents to use those tools for engineers, aiming to accelerate design work.
Paul Cunningham, a Cadence senior vice president, said Maestro was designed to work across model providers. He said Cadence was giving equal attention to open- and closed-weight approaches and envisioned collaboration with commercial AI labs, without providing further details.