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Tags: docker* + production engineering* + deployment* + machine learning*

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1. How to Deploy ML Solutions with FastAPI, Docker, and GCP

   This is a hands-on guide with Python example code that walks through the deployment of an ML-based search API using a simple 3-step approach. The article provides a deployment strategy applicable to most machine learning solutions, and the example code is available on GitHub.

   2024-06-09 Tags: machine learning, fastapi, docker, gcp, deployment, python, llm, tutorial, production engineering by klotz
2. Machine Learning Models as Micro Services in Docker

   2019-03-19 Tags: machine learning, deployment, docker, production engineering by klotz
3. “Deploying machine learning models with GraphPipe (Part 2 of series)”

   2018-11-24 Tags: graphpipe, machine learning, deep learning, pytorch, deployment, kubeflow, docker, production engineering by klotz
4. Deploying Machine Learning Models with Docker – Towards Data Science

   2018-09-05 Tags: machine learning, docker, deployment, flask, production engineering by klotz

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