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  • content/learning-paths/embedded-and-microcontrollers/deploy-ml-model-to-npu-with-topo

content/learning-paths/embedded-and-microcontrollers/deploy-ml-model-to-npu-with-topo/_index.md

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title: Deploy an ML application to the Ethos-U65 NPU on NXP FRDM i.MX 93 with Topo
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draft: true
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cascade:
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draft: true
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description: Use Topo to deploy a Cortex-A web application that sends MobileNetV2 image classification requests to Cortex-M33 firmware accelerated by the Ethos-U65 NPU.
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minutes_to_complete: 60
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author: Tomas Agustin Gonzalez Orlando
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generate_summary_faq: true
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rerun_summary: false
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rerun_faqs: false
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### Tags
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skilllevels: Introductory
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subjects: Containers and Virtualization

content/learning-paths/embedded-and-microcontrollers/deploy-ml-model-to-npu-with-topo/deploy.md

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You can choose to deploy from the original Template, or from the Template you built from scratch. If you have not already cloned the original Template, clone it now:
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```bash
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git clone https://github.com/Arm-Examples/topo-imx93-npu-deployment.git
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topo clone https://github.com/Arm-Examples/topo-imx93-npu-deployment.git
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```
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Topo prompts for optional build cache image arguments. Accept the defaults unless you have your own cache images.
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Then `cd` into the correct directory:
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```bash

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