Define a deployment configuration
Sat Apr 09 2022 22:06:42 GMT+0000 (Coordinated Universal Time)
Saved by @wessim
A deployment configuration specifies the amount of memory and cores your webservice needs in order to run. It also provides configuration details of the underlying webservice. For example, a deployment configuration lets you specify that your service needs 2 gigabytes of memory, 2 CPU cores, 1 GPU core, and that you want to enable autoscaling. The options available for a deployment configuration differ depending on the compute target you choose. In a local deployment, all you can specify is which port your webservice will be served on.
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-deploy-and-where?tabs=python
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