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[ASK] Azure ML Compute based on algo and users / item size

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#896 建立於 2019年8月7日

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I'm trying to run RBM on a problem with about 20K users and 40K items. Is there a way to quickly figure out what type of Azure Machine Learning Compute I would need to handle this size of problem, especially for the GPU. I can run this on an Standard NC12 on the CPU, but when I try to run it with the GPU I get an OOM error or the run fails with the last log entry somewhere deep in Tensorflow.

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