AI Design Solutions

Innovation for the Age of AI

AI and machine learning are changing the way we think about chip design and are accelerating innovation for AI hardware and beyond. Today, our solutions represent the industry most comprehensive portfolio of investments in AI. And our AI journey is only beginning, together."

Sassine Ghazi


Chief Operating Officer, Synopsys

AI design innovation is transforming the world around us.

Advancements in AI chip design technology are enabling the creation of extraordinary high-performance machines in data centers, and, at the edge, mobile devices with AI processing capabilities – smartphones, sensors, AR/VR, wearables, and more – to help with our real-world interactions.

The emergence of Machine Learning is bringing about new, disruptive, AI-driven design solutions. Like self-driving cars that continuously observe real-world driving conditions, this new breed of design tools learns from iterations & uses in chip design environments to offer a leap forward in productivity. 

Machine Learning… Everywhere!

Over the years, the EDA industry has offered many solutions in the modeling and design creation of complex systems. Most design problems in EDA are NP-hard; there are simply no polynomial-time algorithms to solve these problems and hence an optimal solution cannot be identified analytically. Furthermore, the interdependence of design requirements exacerbates these problems, requiring concurrent optimization across multiple design cycle stages.

Machine learning offers opportunities to enable self-optimizing design tools. These new, ML-driven capabilities can be embedded in different design engines, giving EDA developers a new arsenal of solutions for today’s demanding semiconductor design environment. Given the abundance of data and a rich set of heuristics, new classes of ML models can be created using ensemble methods (e.g., linear regression, support vector machines, neural networks) to exploit opportunities throughout the design cycle.

Machine learning-driven chip design represents a paradigm shift which delivers a significant QoR and productivity leap. We are extremely impressed with Synopsys for making the ML vision a reality in IC Compiler II and delivering exceptional QoR results."

Youngmin Shin


Vice President, Samsung Electronics

Digital Design Technology Symposium

Machine Learning Presentations

Designing Wafer Scale SoC for AI Compute Acceleration Using Synopsys Digital Design Solutions - Cerebras Systems

Enabling Next-Generation SoC Design with Machine-Learning Driven Implementation - Samsung

Building the Next Generation Multi-Billion Gate Intelligence Processing Unit with Synopsys Implementation Tools - Graphcore

Introducing™: The world's first autonomous AI application for chip design

Synopsys announces a major breakthrough in electronic design technology with the introduction of™ (Design Space Optimization AI), the industry's first autonomous artificial intelligence application for chip design. Inspired by DeepMind's AlphaZero that mastered complex games like chess or Go, Synopsys' solution is an artificial intelligence and reasoning engine capable of searching for optimization targets in very large solution spaces of chip design. revolutionizes chip design by massively scaling exploration of options in design workflows while automating less consequential decisions, allowing SoC teams to operate at expert levels and significantly amplifying overall throughput.

Synopsys' systematically found optimal solutions that exceeded our previously achieved power-performance-area results. Furthermore, was able to achieve these results in as few as 3 days; a process that typically takes multiple experts over a month of experimentation."

Jaehong Park


Executive Vice President, Samsung Electronic

with Help from Aart de Geus

AI Hardware Design Solutions

Hardware design has become a core enabler of innovation for the age of AI. Diverse AI applications in facial recognition, virtual assistance, autonomous vehicles and more are sharing a common feature: They rely on hardware as the core enabler of innovation. At the same time, AI hardware is presenting a unique set of challenges to its pioneers, with both cloud and edge segments pushing the limits of existing silicon technologies for performance, power, and area.

Cloud AI designs are characterized by massive dimensions, multiple levels of physical hierarchy, locally synchronous and globally asynchronous architectures, and very fragmented floorplans. Edge AI designs are generally small embedded engines but need to handle hundreds of design corners, extreme variability, ultra-low power requirements and heterogeneous integration (e.g. sensors).

Synopsys has been delivering the comprehensive design solutions that enable the design of AI hardware, from today’s AI accelerators to tomorrow’s cognitive systems. Synopsys design solutions and professional services are behind many AI "super-chips", from the data center to the edge. 

The Synopsys Design Platform with Fusion Technology provides all of the capabilities we need to achieve superior processing performance for artificial intelligence and machine learning. Our partnership with Synopsys has been instrumental in developing the Colossus IPU in a fast-moving, dynamic market for driving current and future AI applications."

Phil Horsfield


Executive Vice President, Graphcore

AI Hardware Summit 2020

This annual summit proved to be an exciting one, providing unique perspectives on artificial intelligence (AI), machine learning, model standardization and interoperability.

Learn about the four key takeaways.