---
title: "Discussion on \"🏷 MLOps Explained – Model Deployment Patterns: Batch, Real-Time & Edge\" | Hashnode"
description: "Discussion on \"🏷 MLOps Explained – Model Deployment Patterns: Batch, Real-Time & Edge\". Batch, real-time, and edge strategies for deploying ML models."
url: "https://hashnode.com/posts/mlops-explained-model-deployment-patterns-batch-real-time-and-edge/696624633f365a01f70ec4ee"
---

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# [🏷 MLOps Explained – Model Deployment Patterns: Batch, Real-Time & Edge](https://uplatz.hashnode.dev/mlops-explained-model-deployment-patterns-batch-real-time-and-edge?utm_source=hashnode&utm_medium=feed)

Batch, real-time, and edge strategies for deploying ML models.

Jan 13 · 3 min read · uplatz.hashnode.dev  
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-   [#batch-inference](https://hashnode.com/tag/batch-inference)
-   [#real-time-inference](https://hashnode.com/tag/real-time-inference)
-   [#ml-serving](https://hashnode.com/tag/ml-serving)
-   [#ml-architecture](https://hashnode.com/tag/ml-architecture)
-   [#mlops](https://hashnode.com/tag/mlops)
-   [#model-deployment](https://hashnode.com/tag/model-deployment)
-   [#edge-ai](https://hashnode.com/tag/edge-ai)
-   [#production-ml](https://hashnode.com/tag/production-ml)
-   [#ai-engineering](https://hashnode.com/tag/ai-engineering)
-   [#uplatz-mlops-series](https://hashnode.com/tag/uplatz-mlops-series)

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