AI is rapidly transforming the chip design process, especially in the field of electronic design automation (EDA). Synopsys and Cadence have integrated AI technologies into their EDA tools, resulting in significant improvements in chip design performance, energy efficiency, and speed. According to recent data, more than 50% of advanced chip designs built using 28nm and thinner processes are already being implemented with AI.
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Synopsys and Cadence, the world’s leading software and EDA solution developers, have integrated AI algorithms into their products, automating time-consuming stages of chip design, including physical layout of IP blocks and optimization of chip topology. This frees up engineers’ resources to work on architectural solutions and other high-level tasks that require a creative approach. The integration of AI allows even less experienced engineers to cope with highly complex tasks, thereby contributing to the further development of the industry.
The use of AI in EDA tools has significantly improved the performance and energy efficiency of microcircuits. According to Cadence, the performance of individual functional blocks has been increased by up to 60% thanks to AI optimization, while energy consumption has been reduced by up to 38%. In addition, the implementation of AI technologies has accelerated the full microcircuit design cycle in individual projects by up to 10 times compared to traditional approaches.
Synopsys and Cadence estimate that over 50% of projects built using 28nm and below process technology are already being implemented using AI. Considering that the number of such projects was zero just four years ago, this is evidence of a profound technological shift in the industry.
Chip design companies such as Nvidia, AMD, Qualcomm, MediaTek, Samsung Semiconductor, Marvell, and Broadcom are actively incorporating AI into their design processes. The rise of AI in design coincides with the rise of companies designing custom chips. Companies such as Google, Microsoft, Amazon AWS, Apple, and Samsung are looking to create customized solutions, which requires more efficient and intelligent design tools. This allows them to create more powerful and energy-efficient products and bring new solutions to market faster.