Ximen Digital Chemical Industry Software announced the launch of an AI enhancement tool set for EDA design processes at the 2025 Design Automation Conference (DAC 2025), and demonstrated during the conference how AI technology can help EDA industrie...
Ximen Digital Chemical Industry Software announced the launch of an AI enhancement tool set for EDA design processes at the 2025 Design Automation Conference (DAC 2025), and demonstrated during the conference how AI technology can help EDA industries improve production capacity and accelerate product launch speed, help customers explore innovation opportunities according to the fast pace of market demand.
Ximun displays a new EDA AI system designed for semiconductor and PCB design environments. This AI system specially designed for EDA has secure and advanced generative and proxy AI capabilities that provide the ultimate customization and enables unsparing integration throughout EDA's workflow.
Mike Ellow, executive director of Westgate Digital Industrial Software, said that through strategic investment, a precision industrial-level AI solution specially designed for EDA's unique complex scenes is developed. Ximen EDA has built years of accumulated professional knowledge structure into a strong technical foundation, helping customers to bring breakthrough semiconductor and PCB designs to the market at an unprecedented speed. Ximen EDA is committed to revolutionizing the design team's operation, integrating generative and proxy AI capabilities into every cycle of EDA's workflow.
Through the new EDA AI system, customers can integrate their own EDA data and use advanced AI to establish customized work processes. This allows the team to deploy AI technology in the most valuable links, increasing entry rate and market competitiveness without interrupting workflows. With enterprise-level security protection, customized access control, and flexible deployment options, Ximen can fully realize data protection in the customer-safe data center. In addition, through the centralized multi-mode data lake, each interaction can improve production capacity, and at the same time support various AI models, including large and small language models, machine learning and enhanced learning models, thereby creating a powerful data flying wheel effect.
In addition to internal basic architecture and third-party models, Westmen's EDA AI system also supports NVIDIA NIM microservices and NVIDIA Llama Nemotron models. NVIDIA NIM enables the expansion of inference-based models in both cloud and ground environments, while supporting real-time tool coordination and multi-agent system operation. Llama-Nemotron has high-level reasoning and strong tool calling capabilities to drive EDA workflows to achieve smarter automation.
NVIDIA CAE and CUDA-X senior president Tim Costa pointed out that AI agents can significantly improve the production capacity of complex electronic design automation, assist engineers in layout optimization, simulation and verification, allowing engineers to focus more on creative problem solving and advanced design challenges. Through the NVIDIA NIM microservices and Llama-Nemotron inference model, Westmen EDA can accelerate the development of the most complex electronic systems of the future.
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