Can we scale up and down the ML Compute instance while compute ( run) the notebook on Ms Azure ML Studio?

Nguyen Huu Minh Tri (UTOP.PROD) 1 Reputation point
2022-09-08T06:30:16.25+00:00

Hello all,
Please help me to verify the question above, as working for a company, I would like to run, process a predict model on Microsoft Azure ML Studio notebook, as I tried, I could only pick 1 option at the beginning to compute the notebook source code. I would like to know whether we can scale up for the stronger CPU ( with higher charging price ) in certain timestamp that we process for a high demand of data from users, otherwise, we just scale down and use the basic option of CPU for optimize the price.
As I research, the microsoft azure portal has a function for Virtual Machine like that, but I dont know ML Studio has the same one as follow :
https://learn.microsoft.com/en-us/azure/virtual-machine-scale-sets/quick-create-portal

Thanks so much !

Azure Machine Learning
Azure Machine Learning
An Azure machine learning service for building and deploying models.
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  1. romungi-MSFT 41,866 Reputation points Microsoft Employee
    2022-09-08T12:57:29.817+00:00

    @Nguyen Huu Minh Tri (UTOP.PROD) ML compute instance cannot be scaled up and down, It is only a single node that can be used for smaller workloads. It does provide some productivity tools like Jupyter notebook, Rstudio, ability to configure custom applications which can be automated to start and stop when required.

    If you are looking at options to scale out, then compute cluster should be used which can be configured with the minimum and maximum nodes with the required instance types.

    I hope this answers your question!!

    If an answer is helpful, please click on 130616-image.png or upvote 130671-image.png which might help other community members reading this thread.

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