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Cadence announced a partnership with Nvidia to launch the Maestro AI model family, which is fine-tuned from Nvidia's Nemotron series models to understand and invoke Cadence's own EDA tools. Cadence said that in early tests, Maestro improved output quality by up to 30% and token efficiency by up to 5x compared with general-purpose foundation models; the platform also supports customization based on customer data, and the models and agents can be invoked via API, run in a secure VPC, or be deployed on-premises. The next day, on its third-quarter earnings call, Cadence raised its full-year revenue forecast to $6.387 billion to $6.417 billion, up about 21% year over year, and unveiled the Maestro model family for semiconductor and system design, saying it is post-trained on open-weight models using Cadence design tools and data, with built-in routing that switches between its own models and external frontier models. CEO Anirudh Devgan said AI is expected to boost chip design efficiency by another 5 to 10 times, and Maestro will be integrated into design agents such as ChipStack, InnoStack, and AuraStack; Samsung Foundry, Renesas, and MediaTek are already using the related agents.
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Cadence raises full-year revenue forecast and launches the Maestro model family for chip designDevelopments
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Cadence and Nvidia partner to launch the Maestro AI model family
Source:The Next Platform
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Oct 27
The Elec
Cadence raises full-year revenue forecast and launches the Maestro model family for chip design
On its third-quarter earnings call, Cadence raised its full-year revenue forecast to $6.387 billion to $6.417 billion, up about 21% year over year, and announced the Maestro model family for semiconductor and system design. Maestro is post-trained on open-weight models using Cadence design tools and data, with built-in routing that switches between its own models and external frontier models; initial results show design quality improvements of up to 30% and token efficiency gains of up to 5x. CEO Anirudh Devgan said AI is expected to boost chip design efficiency by another 5 to 10x, and Maestro will be integrated into design agents such as ChipStack, InnoStack, and AuraStack; Samsung Foundry, Renesas, and MediaTek are already using the related agents.
Oct 26
The Next Platform
Cadence and Nvidia Release the Maestro AI Model Family for EDA Automation
Cadence announced a partnership with Nvidia to launch the Maestro AI model family, fine-tuned on Nvidia's Nemotron series of models, for understanding and invoking Cadence's own EDA tools. Cadence says that in early testing, Maestro improved output quality by up to 30% and token efficiency by up to 5x compared with general-purpose foundation models. The Maestro platform also supports customization based on customer data, and the models and agents can be invoked via API, run in a secure VPC, or be deployed on-premises.
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