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April 14, 2020

Groq Adds Responsiveness to Inference Performance to Lower TCO

Running a batch size of one, which refers to computations on a single image or sample during inference processing, is a valuable option for many machine learning workflows – particularly those that require real-time responsiveness. However, small batch sizes and batch size 1 introduce a number of performance and responsiveness complexities to machine learning applications,…
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