MLCommons said the results highlight performance gains of up to 2.8X compared to 5 months ago and 49X over the first results five years ago, “reflecting the tremendous rate of innovation in systems for machine learning,” the organizations said.
[SPONSORED GUEST ARTICLE] These are the times that try the souls of IT staffs tasked with deploying AI at scale… Effectively implementing AI at scale involves a whole host of design, build, deployment, and management considerations. It requires ….
Getting the benefits of big data analytics can be challenging, but it is a necessary endeavor for any organization to succeed going forward. Understanding the challenges to maximizing big data analytics and DL, and how to overcome them, is crucial. Determining your expectations up front, and carefully orchestrating your infrastructure build, will allow you to construct an architecture […]
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