Article
Overview
Transforming Product Design with Generative AI
Whether it’s by enhancing user experiences with nice-to-have surprising features, such as suggested content, or by providing groundbreaking quality-of-life improvements, such as disease prevention and identification, AI is a pervasive part of today’s digital experiences.
In the world of semiconductors, generative AI is something we employ to deliver better electronics. It also enables our customers to design more differentiated and higher performance products than previously possible.
Cadence’s generative AI portfolio offers customers an opportunity to optimize their product’s performance and increase the productivity of their design teams and workflows. Engineers, as they adapt to the productive power these platforms provide, can apply their creative cycles to more innovative and value-creating endeavors.
Key Benefits
Optimized Products and Faster Time to Market
Unprecedented Optimization
Explore more design considerations than previously possible and conquer new technology challenges
Workflow Productivity
Leverage orders of magnitude productivity gains from large language models (LLMs), task abstraction, and automation
Differentiate Your Design
Focus your team on unique technology innovation and build the rest from commercial IP
What's New
Discover Generative AI Topics
Customer Stories
Generative AI Solutions in Action
“On an SoC block, the Cadence Cerebrus floorplan optimization feature shrunk the die area by 5% and reduced power by more than 6%. After experiencing the compounded benefits of improved productivity, better PPA and ease of integration into the MediaTek CAD flow, we’ve deployed Cadence Cerebrus in our production flows.”
Harrison Hsieh, Senior General Manager of Silicon Product Development at MediaTek
“We see a great opportunity to leverage AI and big data to dramatically improve design and verification productivity. We are working closely with Cadence to deploy the Verisium platform on our mobile SoC designs and are already seeing impressive results to automatically triage and root cause bugs.”
S. Brian Choi, Samsung Electronics
“With the Allegro X AI technology from Cadence, we see a great potential to significantly shorten our development cycle. The hardware designer can make assessments on density and complexity—and adjust the electrical design to ensure a rapid and efficient completion of the design, as well as improved productivity.”
Jean-Christophe Dejean, VP PLM Processes & Governance, Schneider Electric
“Co-design of IC and package is critical for complex system-level product development, and ADI has closely worked with Cadence on the development of Virtuoso Studio to help meet the needs of our next-generation system design platform."
Syam Veluri, Senior Director, Engineering Enablement, Analog Devices
Offering
Design with Generative AI
IP to Accelerate AI Semiconductor Design
Tomorrow’s AI-enabled electronic systems require new levels of compute and data throughput for LLM data sets, sensor data processing, and edge inferencing. High-performance DSPs and processor IP for processing AI workloads can give designers a head start on designing their AI SoCs. Additionally, high-bandwidth and high-speed communication interface IP avoids the engineering burden of reinventing standard components.
Generative AI for Semiconductor Design
As electronics become more complex, market competition intensifies, and time-to-market pressure increases, engineers can leverage the Cadence generative AI design solution to increase their electronics performance while reducing the volume of manual tasks. Cadence has enhanced its computational software with AI-driven capabilities in its custom and digital designs, verification, PCB, and system analysis and simulation platforms.
Generative AI for PCB, System, Product and Drug Design
System designers can leverage the Cadence generative AI design solution to increase their product performance while reducing the volume of manual tasks. Cadence delivers a comprehensive generative AI portfolio for PCB and system design and simulation for today’s aerospace, automotive, electronics, and life sciences applications.