Significant reduction in entire SoC design cycle time by 5X to 10X by using AI agent-driven smart workflow for implementation
Up to 10X improvement in engineering productivity by virtue of massive parallelization and transfer learning for faster and smarter design closure
Delivers up to 20% improvement in performance, power, and area through AI-driven optimization tools and advanced data analytics
Efficient use of compute and engineering resource through accumulated learning, smart model replay, and AI-driven data insights
Industry’s first agentic AI SoC platform for top-block co-optimization, leveraging AI to explore and schedule each stage of hierarchical design
A powerful design dashboard facilitates next-level collaboration, offering real-time progress tracking and data sharing for smarter debugging and design optimization
It offers a powerful live customizable design dashboard, which is a shared workspace used by an entire team of engineers working on different designs of a project or across projects. The dashboard can be used to run, manage, and visualize a fleet of Cerebrus runs. Using advanced data analytics, untapped design insights are harnessed to analyze data, identify bottlenecks, and debug designs. Team leads can get a complete summary of a project’s current status from a single pane. Engineers can use this space to generate comparative charts, graphs, and summaries to meet design objectives.
It also supports an infrastructure for multiple engineers to optimize multiple blocks concurrently, bringing in massive parallelization. While traditional design flows required a team of engineers for block-level design closure, with Cadence Cerebrus AI Studio, a single engineer is now empowered to implement multiple blocks simultaneously by leveraging smart workflows. AI agents harness the EDA data generated across designs and various projects to curate models that can be applied to current designs, enabling faster design closure and better PPA.
Cadence Cerebrus AI Studio an also enable agentic AI hierarchical design optimization. For a SoC or a subsystem design, the biggest challenge is creating ideal partitions. This iterative process requires multiple rounds of feedback from top to block and vice versa. Cadence Cerebrus AI Studio applies AI agents to autonomously partition the design, handle top-block co-optimization, integrate the winning recipes for the most optimal top-level design, and use Cadence Certus Closure Solution for chip-level signoff closure. Multiple data handoffs across various netlist drops and between hierarchies are handled very efficiently and all the design changes are embraced with live updates by using agentic AI transfer learning features.
"Cadence Cerebrus AI Studio provides an infrastructure that enables our engineers to optimize multiple designs of a SoC subsystem within one platform."
Moussa Belkhiter, STMicroelectronics
"Cadence Cerebrus AI Studio gave us an overall productivity improvement of 4X and is a valuable addition to our design methodology."
Benny Kaitbian, Austin Research and Development Center (SARC) and Advanced Computing Lab (ACL), Samsung
"As a part of our long-term partnership with Cadence, with the use of Cadence Cerebrus AI Studio, we are able to achieve PPA improvement of about 8%-11% on SoC subsystems."
Balajee Sowrirajan, Research (SSIR), Samsung Semiconductor India
Press Release
Introducing Cadence Cerebrus AI Studio: The Industry's First AI-Enabled Multi-Design, Multi-User Design Platform
Video
Transforming Chip Design: SARC Endorses Cadence Cerebrus AI Studio
Video
Samsung Semiconductor India Research Leverages Cadence Cerebrus AI Studio
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