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Workflow-driven EDA software and concurrent engineering for the next generation of dedicated AI chips, boosting AI capabilities, 6G networks, and data centers.
Artificial intelligence (AI) is transforming every industry and creating new demands for computing performance, efficiency, and scalability. Designers are creating and deploying AI-dedicated chips to meet these challenges and enable faster and smarter applications across various domains, such as cloud, edge, mobile, automotive, and the Internet of Things (IoT). However, designing AI chips is not an easy task, as it requires overcoming multiple technical and economic barriers, such as complexity, cost, time to market, power consumption, and reliability.
Learn how to use an electronic design automation (EDA) software platform to accelerate the development of AI chips, focusing on innovation drivers like chiplets, 6G research, power delivery in AI server farms, and engineering lifecycle management.
Read more here.