# Self-Hosted Deployment

आप Roboflow Inference, हमारे edge inference server, के साथ अपने स्वयं के hardware पर models और Workflows deploy कर सकते हैं। यह तब आदर्श है जब आपको अपने models को edge पर real time में चलाना हो।

अपने hardware पर एक model set up करने के लिए आपको internet connection की आवश्यकता होगी। यदि आप devices managed by [Device Manager](/roboflow/roboflow-hi/deploy/device-manager.md).

के लिए देखें [Roboflow Inference installation guide](https://inference.roboflow.com/install/) ताकि आप जान सकें कि अपने computer पर Inference कैसे set up करें। फिर, हमारे इस guide को देखें [How to Deploy a Workflow](/roboflow/roboflow-hi/workflows/deploy-a-workflow.md) एक edge device पर।

{% hint style="info" %}
private models के लिए TensorRT-optimized model packages केवल इस पर उपलब्ध हैं [Enterprise plans](/roboflow/roboflow-hi/deploy/enterprise-deployment.md) जब Roboflow platform के बाहर Inference चलाया जा रहा हो। Public models में सभी plans पर TensorRT packages शामिल होते हैं।
{% endhint %}


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