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You are in the early stages of developing a machine learning model using a framework that requires high-precision arithmetic and benefits from massive parallelization. Your data set fits within 32 GB of memory. You want to use Jupyter Notebooks to build the model iteratively and analyze results. What kind of infrastructure would you use?

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You are in the early stages of developing a machine learning model using a framework that requires high-precision arithmetic and benefits from massive parallelization. Your data set fits within 32 GB of memory. You want to use Jupyter Notebooks to build the model iteratively and analyze results. What kind of infrastructure would you use?






 
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