@Martin Korytak Thanks for the question. On our website all the prices of Azure ML service are displayed and FAQ at the end.
https://azure.microsoft.com/en-us/pricing/details/machine-learning/
Yes, when you deploy your model to ACI with a default environment you can customize the deploy configuration (i.e. the number of cores and amount of memory made available for the deployment) using the AciWebservice.deploy_configuration().
How is Azure ML instance cost calculated?

Hello,
I've created an endpoint for scoring using a modified version of this tutorial: https://learn.microsoft.com/en-us/azure/machine-learning/how-to-deploy-existing-model. I used this command for specifying resources: AciWebservice.deploy_configuration(cpu_cores=1, memory_gb=12)
and my resource group is "West EU". I'd like to know how the cost is calculated. I assume that the requested resources are converted to an instance (is that right?). I have found this useful website calculator but I cannot find which instance I am using.
How can I retrieve the information? Can I also do it programatically?
Many thanks.
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Ramr-msft 10,816 Reputation points
2020-11-30T13:35:11.803+00:00
@Ramr-msft thank you for your answers. Nevertheless, there is still one thing unclear. I've checked the website with pricing and at the end there is in FAQ:
My question is: how do I know after the deployment which VM is used and what the cost is for a single machine in particular? In the provided example it is: DS14 v2 VM, CHF 1.177, respectively. This is the last tile which is missing in my puzzle to be able to estimate the cost.
Thank you.
@Martin Korytak Thanks for the details. we are investigating the issue, Meanwhile please share your expand view to see a breakdown of cost by service in cost management for machine learning.
@Ramr-msft here are the details of the service: container instances - 6.48 CHF, container registry - 0.42 CHF and the rest (storage, key vault, bandwidth) sums up to 0.01 CHF approximately. Please keep me updated on the status of this issue.
Thank you.
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