image credit: Pxhere
It’s hard to argue that any area of technology is evolving as rapidly as machine learning (ML) is nowadays. In a previous blog, I theorized that artificial intelligence (AI) was at an inflection point in its maturity, where it could benefit from many of the lessons learned in both the hardware and software realms of high performance computing (HPC). Since then, AI frameworks and systems architecture have come a long way, and much of what I mentioned in my earlier blog is now almost a given.
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