From the course: Microsoft Azure Data Scientist Associate (DP-100) Cert Prep

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Create compute targets for experiments and training

Create compute targets for experiments and training - Azure Tutorial

From the course: Microsoft Azure Data Scientist Associate (DP-100) Cert Prep

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Create compute targets for experiments and training

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- [Narrator] Most operations around Azure Machine Learning Studio, at some point, will involve a compute instance or a compute cluster or an inference cluster. One of the things you can do is scroll down to compute here. And this allows you to toggle between the different modes. So this is compute instance mode and if I wanted to set up a new instance, for example, let's say that I needed to select a new notebook instance, we just call this one notebook instance. You know, this would be one of the options I could select. And then if I go through and say create, I could then get another notebook instance to host a a Jupyter Notebook and do some work with it. Alternatively, you can also do clusters as well. And so if I went through here and wanted to create a new cluster, I would just go through this and select what type of tier, so dedicated or low priority CPU or GPU. The key difference here between CPU or GPU is that in terms of CPU, you would have a much lower cost size. Now, since…

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