@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 17,741 Reputation points
2020-11-30T13:35:11.803+00:00