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09 Machine Learning and AI

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03 MLOps

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01 Concept

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Edge Deployment

Edge Deployment

Feb 10, 20261 min read

  • mlops
  • edge
  • mobile
  • deployment

Edge Deployment

← Back to Model Serving

Running models on edge devices (phones, IoT, embedded systems) rather than cloud servers. Requires aggressive model optimization. Key tools: TensorFlow Lite, Core ML (Apple), ONNX Mobile.

Related

  • Model Optimization (required for edge)
  • Real-Time Inference (ultra-low latency)

mlops edge mobile deployment


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  • Edge Deployment
  • Related

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  • Model Serving
  • Model Optimization

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