Since chip design is a costly process, companies like AMD have turned to artificial intelligence to save costs and speed up time to market. So far, more than 200 chip designs have been produced using Synopsys electronic design automation (EDA) software, and this number is rapidly increasing.

Art JD GeussSynopsys CEO said in his company’s latest earnings report: “By the end of 2022, 9 of the top 10 semiconductor vendors will have rapidly adopted artificial intelligence, and that number has increased today and continues to grow.” they give. “In fact, the chip industry is making extensive use of artificial intelligence to design chips.”

TomsHardware He writes that the ever-increasing complexity of chips forces designers to use the latest processes to make them more durable. For this reason, the development and production costs of system-on-chips have skyrocketed. IBS data shows that the development cost of a relatively complex chip made with a 7nm process is around $300 million, with roughly 40% of that going to software.

In contrast, the cost of developing the advanced 5nm process is more than 540 million dollars, which includes software costs. The cost of developing a graphics processor with a 3nm process is about 1.5 billion dollars, of which 40% is expected to be related to the software sector.

“We unveiled the industry’s first artificial intelligence-based EDA suite, and specifically, the second-generation advancements of and at the same time,” says de Geus. “In addition, we are expanding AI throughout the design stack, which includes the analog design and manufacturing process.”

Almost all major chipmakers now use AI-based EDA tools; Although not all the mentioned companies have confirmed this issue.

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