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Copy file name to clipboardExpand all lines: content/learning-paths/embedded-and-microcontrollers/nav-mlek/sw.md
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You should use an `x86_64` development machine running Windows or Linux for the best experience.
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The [Arm ML Evaluation Kit (MLEK)](https://git.mlplatform.org/ml/ethos-u/ml-embedded-evaluation-kit.git/) is not fully supported on Windows. Some of the required tools work only on Linux. Linux is recommended if you plan to use MLEK extensively.
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The [Arm ML Evaluation Kit (MLEK)](https://gitlab.arm.com/artificial-intelligence/ethos-u/ml-embedded-evaluation-kit) is not fully supported on Windows. Some of the required tools work only on Linux. Linux is recommended if you plan to use MLEK extensively.
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There are some ML examples which can be developed using Windows tools.
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As an example, clone the MLEK repository and look at the `Dockerfile` at the top of the repository to see one way to use Docker in ML application development:
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### Arm ML Evaluation Kit (MLEK)
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The [MLEK](https://review.mlplatform.org/plugins/gitiles/ml/ethos-u/ml-embedded-evaluation-kit) provides a number of example ML applications.
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The [MLEK](https://gitlab.arm.com/artificial-intelligence/ethos-u/ml-embedded-evaluation-kit) provides a number of example ML applications.
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[The Quick Start Guide](https://review.mlplatform.org/plugins/gitiles/ml/ethos-u/ml-embedded-evaluation-kit/+/HEAD/docs/quick_start.md) guides you through running an example application.
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[The Quick Start Guide](https://gitlab.arm.com/artificial-intelligence/ethos-u/ml-embedded-evaluation-kit/-/blob/main/docs/quick_start.md) guides you through running an example application.
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