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feat: Updated Feast model Inference Architecture (feast-dev#4570)
* Feast model Inference Architecture * Update model-inference.md * Update model-inference.md
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docs/getting-started/architecture/model-inference.md

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# Feature Serving and Model Inference
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![](../../assets/feast_model_inference_architecture.png)
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{% hint style="info" %}
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**Note:** this ML Infrastructure diagram highlights an orchestration pattern that is driven by a client application.
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This is not the only approach that can be taken and different patterns will result in different trade-offs.
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{% endhint %}
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Production machine learning systems can choose from four approaches to serving machine learning predictions (the output
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of model inference):
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1. Online model inference with online features

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