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Synopsys, a chip design software company based in Sunnyvale, California, has introduced Synopsys.ai Copilot, an AI-powered accelerator for designing semiconductor chips. This tool leverages groundbreaking generative artificial intelligence (GenAI) capabilities born from a strategic partnership with Microsoft. By integrating the Azure OpenAI Service, Synopsys has harnessed the power of GenAI to enhance the complex field of semiconductor chip design.
The semiconductor industry is currently facing two major challenges: the need for faster and more efficient computing and a projected workforce shortage of chip design engineers. Synopsys.ai Copilot aims to tackle these issues by incorporating conversational intelligence into the design process, making it more efficient.
Key highlights include:
Strategic Partnership with Microsoft: The collaboration between Synopsys and Microsoft integrates the Azure OpenAI Service, providing access to OpenAI’s large language models within the powerful infrastructure of Microsoft Azure. This has enabled the development of Synopsys.ai Copilot, a major AI-driven innovation in chip design.
AI-Driven Semiconductor Innovation: Known for pioneering AI-driven electronic design automation with their Synopsys.ai EDA suite, Synopsys is pushing the envelope even further with Synopsys.ai Copilot. This new generative capability offers conversational intelligence and addresses the increasing complexity in semiconductor engineering.
Addressing Workforce Shortages with AI: Shankar Krishnamoorthy, general manager of the Synopsys EDA Group, mentioned that AI-driven design could help mitigate workforce challenges. With a projected 15% to 30% shortage of chip design engineers by 2030, AI is becoming an essential tool for speeding up design processes.
AI-Powered Experience: Synopsys.ai Copilot seamlessly integrates into designers’ everyday tools, enabling natural language conversational intelligence across design teams. It’s the first in a series of planned generative AI capabilities from Synopsys, designed to continually learn new skills and adapt to teams’ evolving needs.
Scalable Infrastructure: Synopsys.ai Copilot supports deployment in any on-premises or cloud environment, utilizing Microsoft Azure’s high-performance computing infrastructure. This guarantees the necessary availability, affordability, and capacity to manage AI workloads for advanced chip design and verification applications.
Safe and Responsible Design: The collaboration between Synopsys and Microsoft focuses on building AI systems that are both safe and trustworthy. This commitment ensures the secure deployment of AI technologies in developing new silicon-based applications.
Early Access: Synopsys.ai Copilot is already available to early-access customers, offering AI-powered experiences and scalable infrastructure. Combining AI-driven design capabilities with high-performance infrastructure is expected to significantly boost innovation efficiency for engineering teams.