They are in supercomputers, crunching large data sets to understand mega patterns, probabilities and outcomes. They help us understand the origins of the universe, combat climate change, and aid in the development of new medicines. They are behind the alert on your car, letting you know you’ve departed your lane and warning you about dangers on the road. AI semiconductors are likely a player in many micro moments, where putting split-second decisions into actions matter. While semiconductors are already the proverbial nuts and bolts of our electronic lives, driven by AI, they can give us superhero-like capabilities.
From computing in the cloud all the way to the edge, the future of electronic systems is coming faster than you might think. Gartner estimates that the $53 billion 2023 AI chip market will double by 2027. In fact, AI semiconductors are proliferating in compute, networking, storage and memory applications, and much more. They interconnect us and are an essential tool to overcome challenges and seek out opportunities ahead.
At a recent panel discussion on NASDAQ’s Trade Talks with Jill Malandrino, Rajesh Vashist, CEO, SiTime, Olivier Banchard, research director, The Futurum Group and Benjamin Lee, professor of electrical and systems engineering and computer and information science at the University of Pennsylvania weighed in on the future of the chip market. The discussion spanned the diverse semiconductor technologies that are incorporating AI, including CPUs, GPUs, FPGAs and ASICs, as well as AI’s influence on cloud and edge computing. According to Vashist, we are in the second golden era of semiconductor design. Some key takeaways of the panel discussion included:
So how do precision timing devices fit into the AI semiconductor outlook? Without precision timing chips, high-speed, time-sensitive networks—especially in demanding contexts like 5G networks, data center interconnects and edge computing—would not be as efficient in managing and synchronizing the flow of data. MEMS-based precision timing can offer nanosecond-level accuracy in a more compact form than legacy quartz timing solutions. Specifically, precision timing chips supplant one-hundred-year-old quartz technology that is still ubiquitous today, and they address the performance and reliability needs that are unique to AI-driven applications. As the AI semiconductor market continues to ramp, the precision timing market is positioned to ramp with it. Data in this new era is rapidly expanding and must travel across diverse technologies. Precision timing synchronizes the data through electronic systems more efficiently, reliably and accurately, enabling AI computing. And that’s important because our next superpower just might come from an AI semiconductor.
For more insights on the future of the semiconductor market, check out the entire in-depth conversation at NASDAQ Trade Talks with Jill Malandrino: “The State of the Semiconductor Chips Market.”
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