As chip design costs rise and development times lengthen, chip designers such as AMD are turning to AI to optimize spend and speed time to market. To date, over 200 chip designs placed and routed using the Synopsys DSO.ai electronic design automation (EDA) software suite have been scrapped to tape, and the number is growing rapidly.
“By the end of 2022, there will be 100 AI-driven commercial tapeouts, including nine of the top 10 semiconductor vendors, with rapid adoption,” said Aalto J. de Jus, chef executive at Synopsys. We’re making progress,” he said at a recent earnings call. Phone (via) Yahoo!finance). “Today, that number is well over 200 and continues to grow at a very rapid rate as the industry widely adopts AI in Synopsys designs.”
Increasing chip complexity forces designers to adopt the latest nodes to make chips practical, driving up development and production costs. The development price for a moderately complex chip manufactured using 7nm process technology is around $300 million, and nearly 40% of this cost is spent on software. In contrast, development costs for advanced 5nm exceed $540 million including software costs. Overseas business strategy (IBS). Going forward, development costs for advanced 3 nm GPUs are expected to be around $1.5 billion, with software costs accounting for around 40% of this price.
Spending $1.5 billion on a single chip leaves no room for error, and unlike AI, humans tend to make mistakes. So it makes a lot of sense to use artificial intelligence for very complex designs. In fact, Synopsys announced the following: A full stack of AI-assisted design tools at the beginning of this year.
“We launched the industry’s first full-stack AI-driven EDA suite, sydnopsys.ai,” said de Geus. “Specifically, in parallel with the progress of the second generation of DSO.ai, we announced VSO.ai, which stands for Verification Space Optimization. TSO.ai, Test Space Optimization. We are extending AI to the entire design stack to include analog design and manufacturing.”
Virtually all major chip makers are now adopting AI-assisted EDA tools, but not everyone is ready to see this.
“Announcing partners include Nvidia, TSMC, MediaTek, Renesas, and IBM Research, all of whom have delivered amazing use cases that demonstrate the rapid progress and importance of Synopsys.ai, and groundbreaking results. ,” added de Geus.
