Synopsys and Microsoft Collaborate on GenAI for Chip Design
Synopsys, Inc. (Nasdaq: SNPS) has announced the launch of Synopsys.ai Copilot, an innovative generative artificial intelligence (GenAI) capability focused on accelerating the semiconductor chip design process. This development is a result of a strategic collaboration with Microsoft, integrating the Azure OpenAI Service to enhance the design process with advanced GenAI tools.
Synopsys.ai: Pioneering AI-Driven EDA
As a leader in semiconductor electronic design automation (EDA), Synopsys has pioneered the industry’s first AI-driven EDA suite, Synopsys.ai™. The collaboration with Microsoft leverages Azure OpenAI Service’s large language models (LLMs) and Microsoft Azure’s enterprise-ready capabilities. Synopsys.ai Copilot combines these advancements with Synopsys’ leading chip design tools and IP, enabling engineering teams to expedite time to market and manage increasing complexity through conversational intelligence.
Addressing Industry Challenges with AI
Shankar Krishnamoorthy, General Manager of the Synopsys EDA Group, highlights the semiconductor industry’s urgent need for optimized computing solutions and the looming workforce gap in chip design engineers. Synopsys.ai Copilot represents a significant leap in AI-driven design, enhancing productivity and meeting design targets through generative AI and conversational intelligence.
Building on a Foundation of Innovation
This announcement follows Synopsys’ introduction of the industry’s first SaaS EDA solution powered by Microsoft Azure in 2022. Corey Sanders, Corporate Vice President at Microsoft, emphasizes the companies’ shared vision for semiconductor innovation, facilitated by Cloud and AI technologies. This partnership aims to empower semiconductor designers with cutting-edge AI infrastructure and tools.
Key Features of Synopsys.ai Copilot
- New AI-Powered Experiences: Integrating with designers’ everyday tools, Synopsys.ai Copilot offers conversational intelligence and is designed to evolve with teams’ needs, enhancing chip design productivity.
- AI Infrastructure at Scale: Compatible with on-prem and on-cloud environments, it leverages Microsoft Azure’s high-performance computing for handling complex AI workloads in chip design and verification.
- Responsible and Safe Design: The collaboration prioritizes building responsible AI systems, focusing on safety and trustworthiness in AI deployment for silicon-based applications.
Implications for Engineering Teams
The integration of AI in design processes on a high-performance infrastructure is poised to bring substantial improvements, aiding teams in innovating more efficiently. Synopsys.ai Copilot, currently available for early-access customers, represents a significant advancement in the realm of semiconductor design, offering a blend of AI innovation and practical application..
