Online Deployment

Learn about deploying ML models to Azure.

Prerequisites for deployment

Online deployment creates a real-time URI for the model. Batch deployment works with low-compute VMs like the Standard-DS11-V2 series. However, for online deployment, we need high-end VCPUs like the Standard-DS2-V2, Standard-DS3-V2, or Standard-Fs2-v2 series. Getting the quota is the first step for online deployments. We can check the quota using the Azure Machine Learning studio by following the steps below:

  1. Select the online endpoint that we created earlier and click “Add Deployment.”

  2. Add the model and environment details.

  3. Click the “Compute” options and make sure there's enough storage.

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