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Apple Turns to Generative AI for Faster Chip Development

Key Takeaways

  • ​Apple is looking into generative AI to speed up custom chip design and improve efficiency;
  • Johny Srouji highlighted AI’s role in handling complex chip tasks and reducing delays;
  • Apple has used AI-powered EDA tools before, but may now expand its use more directly.

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Apple Turns to Generative AI for Faster Chip Development

Apple is exploring the use of generative artificial intelligence (AI) to make the process of designing its custom chips faster and more efficient, according to a report from Reuters on June 18.

Johny Srouji, Apple’s head of hardware technologies, spoke during a tech conference held in Belgium about the importance of using the best tools available when creating chips.

He pointed out that chip design is becoming increasingly complex and that using AI tools could enable teams to accomplish more work in less time.

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Srouji mentioned that electronic design automation (EDA) companies play a major role in supporting Apple’s chip development. He said AI could be helpful in cutting down the time needed for design work, which could increase output and reduce delays.

Srouji gave an overview of Apple’s journey with custom chips, which began with the first iPhone processors and continued with the newer chips found in Mac computers and the Vision Pro headset.

While Srouji’s comments make it sound like Apple is just beginning to use AI for chip development, AppleInsider has pointed out that Apple has been using AI through EDA tools made by outside companies. For example, Synopsys noted that generative AI could introduce new methods for creating chip designs, which companies like Apple are likely to benefit from.

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Aaron S. Editor-In-Chief
Having completed a Master’s degree in Economics, Politics, and Cultures of the East Asia region, Aaron has written scientific papers analyzing the differences between Western and Collective forms of capitalism in the post-World War II era.
With close to a decade of experience in the FinTech industry, Aaron understands all of the biggest issues and struggles that crypto enthusiasts face. He’s a passionate analyst who is concerned with data-driven and fact-based content, as well as that which speaks to both Web3 natives and industry newcomers.
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Aaron has been quoted by multiple established outlets, and is a published author himself. Even during his free time, he enjoys researching the market trends, and looking for the next supernova.

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