Chip design software firm Synopsys has launched Synopsys.ai Copilot, an AI-driven accelerator for semiconductor design.
Based in Sunnyvale, California, Synopsys has developed this electronic design automation (EDA) tool, harnessing revolutionary generative artificial intelligence (GenAI) capabilities through a strategic partnership with Microsoft. By utilizing the Azure OpenAI Service, the Synopsys.ai Copilot integrates the power of GenAI into the complex realm of semiconductor chip design.
Facing Industry Challenges
The semiconductor industry is confronted with the dual challenge of needing faster and more efficient computing solutions while anticipating significant workforce shortages for chip design engineers. Synopsys.ai Copilot aims to tackle these issues by introducing conversational intelligence that streamlines the chip design process.
Design Highlights
- Strategic Collaboration with Microsoft: Synopsys and Microsoft have joined forces to integrate the Azure OpenAI Service, granting access to OpenAI’s extensive language models (LLMs) within Microsoft Azure's robust infrastructure. This partnership underpins the innovative capabilities of Synopsys.ai Copilot, marking a significant leap in chip design technology.
- AI-Driven Innovation: Synopsys is extending its pioneering efforts in AI-driven EDA with the introduction of Synopsys.ai Copilot. This tool, powered by Azure OpenAI Service, incorporates generative capabilities that address the growing complexities of semiconductor engineering.
- Bridging the Workforce Gap: Shankar Krishnamoorthy, general manager of the Synopsys EDA Group, underscored the workforce challenges, stating, “AI-driven design can help address these challenges.” With an anticipated workforce shortfall of 15% to 30% in chip design engineers by 2030, AI emerges as a vital resource for expediting design processes.
- AI-Powered Collaboration: Synopsys.ai Copilot is designed to integrate seamlessly with designers' everyday tools, enabling natural language conversations within design teams. It represents the first of several planned generative AI capabilities, engineered to learn and adapt to the evolving needs of teams.
- Scalable Infrastructure: Deployable in both on-premises and cloud environments, Synopsys.ai Copilot utilizes the high-performance computing infrastructure of Microsoft Azure, ensuring the availability and capacity necessary for complex AI workloads related to advanced chip design and verification.
- Commitment to Safe Design: Synopsys and Microsoft's collaboration highlights a commitment to developing responsible AI systems that are both safe and trustworthy, promoting the secure integration of AI technologies in new silicon-based applications.
Early Access
Synopsys.ai Copilot is currently available for early-access customers, providing AI-controlled experiences and scalable infrastructure. This combination of advanced AI design capabilities and robust performance is expected to significantly enhance innovation efficiency for engineering teams.
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