How AI Impacts Memory & Interconnect Technology

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When it comes AI and machine learning applications, it's increasingly important where data and memory need to reside....

www.eetasia.com, Nov. 04, 2020 – 

Location, location, location is not a mantra limited to real estate. To meet the needs of artificial intelligence (AI) and machine learning applications, it increasingly applies to where data needs to reside, and the memory that stores it.

But it's not just the job of memory vendors to address these placement challenges; other AI stakeholders have a role to play and a big part of the solution is the memory interconnects, even as memory gets moved closer to compute. "We all work in different aspects of AI," said Rambus fellow Steve Woo, who recently hosted an online roundtable discussion at the AI Hardware Summit on the challenges and solutions for memory interconnects.

With events such as Oktoberfest being cancelled due to the COVID-19 pandemic, a beer analogy isn't a bad one for memory interconnects, said Igor Arsovski, CTO of the ASIC Business Unit at Marvell, who started his career 17 years ago as an SRAM Designer. Attending a beer festival makes a pint easily accessible. "SRAM is like having a beer that's right next to you. It's really accessible, it's low energy to access it and as long as it's all you need, then you will have a nice high-performance accelerator." But if it's not enough memory, you end up going further to get it and it costs a lot more energy to get it, much like having to go further to get beer in larger quantities.

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