From the course: Introduction to Azure AI Foundry: Exploring Services and Capabilities
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Deploy a model
From the course: Introduction to Azure AI Foundry: Exploring Services and Capabilities
Deploy a model
- [Instructor] Once we've selected our model, then it's time to deploy the model. That is a straightforward procedure, and what we do when we deploy it is make it available on Azure. So we start paying for the model service, or the AI service, and that means we can start testing it, we can use the playground to see if it works the way we think, and eventually we can start working with that model. I already have one model deployed, gpt-4o, called blue-01, and I'm going to make another version of that called version 02. So to do that, I would just click on this deploy button, and I'll give it a name up here. So it has to be unique, so I'm going to call this one 02. Then I pick the deployment type. That's not important for this demo, but there is more than one choice here. Then down here, these are the defaults for the deployment. It's picked the model, the model version. It's picked a project, it's picked the capacity, how many tokens per minute are allowed for this model? The content…
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