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As technology advances and more organizations are implementing machine learning operations (MLOps), people are looking for ways to speed up processes. This is especially true for organizations working with deep learning (DL) processes which can be incredibly lengthy to run. You can speed up this process by using graphical processing units (GPUs) on-premises or in the cloud.

GPU is a powerful tool for speeding up a data pipeline with a deep neural network. The first reason to use GPU is that DNN inference runs 3–4 times faster on GPU compared to CPU with the same pricing. …

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MobiDev

We create complex business-driven solutions, with a focus on innovation. We write about trends and expertise in AI, IoT, AR & more.

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