Cadence launches AI suite for chip design

AI · First reported 26 Oct, 13:03 · Updated 19:10

Cadence introduced Maestro, a suite of AI models for chip design that customers can run in-house or in the cloud. The company says early results show improved quality and cost-efficiency; select customers are expected to receive early access in the fourth quarter.

Cadence said Maestro uses Nvidia’s open-weight Nemotron model in part and Nvidia’s OpenShell safety technology.
Customers can use the models on Cadence’s cloud, a public cloud, or behind their own firewalls and in their data centers.
Cadence said customers can fine-tune the models on their own chip designs; early results showed up to 30% higher quality and up to five times better cost-efficiency than general-purpose models.
Synopsys said on September 30 it would develop an AI model with OpenAI, share revenue with the company, and run the model on OpenAI-hosted infrastructure.
Cadence said select early-access customers would receive the first Maestro models in the fourth quarter. Its shares rose 3.9% after the announcement.

Summary written by Lux AI from 4 articles

Key facts

Product: Cadence Maestro, an AI model suite for chip design
Underlying model and safety technology: Built in part on Nvidia Nemotron; secured with Nvidia OpenShell
Deployment: Cadence cloud, any public cloud, or customers’ own infrastructure
Early results: Up to 30% higher quality and up to five times better cost-efficiency than general-purpose models, according to Cadence
Early access: Select customers in the fourth quarter
Shares: Cadence shares rose 3.9% after the announcement