Apple has confessed that you are using AI to design its next chips. What comes to us to users is anthological

American companies Cadence Design Systems and Synopys are the most important in the software industry specialized in Integrated circuit design automation, known as Eda for its English denomination (Electronic Design Automation). And both have taken the same path by integrating into their solutions models of artificial intelligence (AI) designed to optimize semiconductor design processes.

Nvidia, AMD, Intel, Broadcom or Medialatek are some of the chip designers who use the EDA software of these two companies, and some of them are already starting to flirt with the design through AI. In fact, Johny Srouji, Senior Vice President of Apple hardware technologies, has confirmed That the apple company is interested in taking advantage of the generative artificial intelligence to design the integrated circuits that it incorporates into its devices.

“EDA software companies have a critical role when supporting the complexity of our chips designs,” Soruji holds. “The generative the techniques have enormous potential that can help us carry out more design work in less time, so they can give us a great impulse in the field of productivity (…) Passing the Mac to Apple Silicon was a great bet for us. We did not have a plan B or we were going to divide the product line. We bet everything.”

This is what we can expect from the chips designed with AI

From Johny Srouji’s statements a very clear idea follows: his commitment to EDA software endowed with AI It is definitive. This is the reason why he recalled the moment in which Apple decided to leave Intel’s chips and bet on his own designs. Somehow this engineer is hinting that the use of the generative AI in the design of integrated circuits is a milestone for chips designers. And he is right.

The main consequence derived from the use of EDA software is the acceleration of the integrated circuit design process. Apple, Nvidia, Google, AMD or Intel, among other companies, already have on the table the possibility of invest much less time in design of their own semiconductors. However, this is not all. The AI ​​can also be responsible for carrying out a part of the work carried out by the engineers of these companies.

The EDA software reinforced with AI is able to optimize the performance per watt of the chips and their gross productivity, two objectives that until now were in the hands of the experts in the design of the microarchitecture of the integrated circuits. For this reason Apple and the other semiconductor designers will be able to reduce the time between two generations of consecutive chips, and, more importantly, they will manage to adapt more quickly to the changing needs of the market.

Somehow we have already revealed what implications the popularization of EDA software has from the user’s point of view. And it is that in all likelihood we can expect that the improvements implemented in two consecutive chips generations have a perceptibly greater than the current range. In practice this resource should allow integrated circuit designers to improve a lot both its gross performance and its performance per wattalthough it remains to be seen to what extent the limitations imposed by current silicon technology restrict the capacities of the next generations of semiconductors. Anyway, there is no doubt that a new and unexplored world opens before us.

Image | Apple

More information | Reuters

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