Running AI Models in Docker Containers on ARM Devices

Jarek Szczegielniak

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27 Apr 2021CPOL3 min read

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In this article, we’ll adapt our image for Raspberry Pi with an ARM processor.

Here we’ll create a container to handle the inference on the ARM processor with Raspberry Pi, and build and run TensorFlow predictions on Raspberry Pi. We also create basic containers for experiments, training, and inference.

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This article is part of the series 'Containerized AI and Machine Learning ◁ Prev View All Next ▷

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This article, along with any associated source code and files, is licensed under The Code Project Open License (CPOL)

Written By

Jarek Szczegielniak

Architect

Poland

Jarek has two decades of professional experience in software architecture and development, machine learning, business and system analysis, logistics, and business process optimization.
He is passionate about creating software solutions with complex logic, especially with the application of AI.

Running AI Models in Docker Containers on ARM Devices

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