> ## Documentation Index
> Fetch the complete documentation index at: https://mintlify.com/MicrosoftDocs/azure-ai-docs/llms.txt
> Use this file to discover all available pages before exploring further.

# Model Deployment

> Learn how to deploy AI models in Microsoft Foundry using serverless APIs, provisioned throughput, and managed compute.

# Model Deployment

Deploy models in Microsoft Foundry using multiple options optimized for different scenarios.

## Deployment Methods

### Serverless API Deployment

**Characteristics**:

* Pay-per-token billing
* Microsoft-managed infrastructure
* Automatic scaling
* No capacity planning

**Example**:

```python theme={null}
# Model is accessed via serverless API endpoint
response = client.chat.completions.create(
    model="gpt-4o",
    messages=messages
)
```

### Provisioned Throughput

**Characteristics**:

* Reserved capacity (PTUs)
* Predictable cost and performance
* Dedicated resources
* Fungible across models

**Example**:

```python theme={null}
deployment = client.deployments.create(
    model="gpt-4o",
    sku={
        "name": "ProvisionedManaged",
        "capacity": 100  # Provisioned Throughput Units
    }
)
```

### Managed Compute

**Characteristics**:

* Deploy to Azure VMs
* Billed for VM hours
* Supports open-source models
* Full infrastructure control

## Deployment Process

<Steps>
  <Step title="Select Model">
    Choose from model catalog based on requirements
  </Step>

  <Step title="Choose Deployment Option">
    Serverless, Provisioned, or Managed Compute
  </Step>

  <Step title="Configure Settings">
    Region, capacity, version settings
  </Step>

  <Step title="Deploy">
    Create deployment via portal, CLI, or SDK
  </Step>

  <Step title="Test">
    Verify deployment with test requests
  </Step>
</Steps>

## Regional Considerations

* Model availability varies by region
* Check [Region Support](/foundry/models/region-support)
* Consider data residency requirements
* Evaluate latency for global users

## Model Lifecycle

* **GA**: Full support and SLA
* **Deprecation Notice**: 6-12 months warning
* **Deprecated**: No new deployments
* **Retired**: Model unavailable

Set up auto-update for seamless transitions.

See [Model Overview](/foundry/models/overview) for model catalog details.