https://github.com/sayakpaul/ml-deployment-k8s-fastapi

This project shows how to serve an ONNX-optimized image classification model as a web service with FastAPI, Docker, and Kubernetes.
https://github.com/sayakpaul/ml-deployment-k8s-fastapi

docker fastapi google-cloud-platform kubernetes onnx rest tensorflow

Last synced: 3 days ago
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This project shows how to serve an ONNX-optimized image classification model as a web service with FastAPI, Docker, and Kubernetes.

• Host: GitHub
• URL: https://github.com/sayakpaul/ml-deployment-k8s-fastapi
• Owner: sayakpaul
• License: apache-2.0
• Created: 2022-02-16T15:30:04.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2022-07-27T09:03:39.000Z (over 2 years ago)
• Last Synced: 2024-10-23T01:15:50.534Z (12 days ago)
• Topics: docker, fastapi, google-cloud-platform, kubernetes, onnx, rest, tensorflow
• Language: Jupyter Notebook
• Homepage: https://medium.com/google-developer-experts/load-testing-tensorflow-serving-and-fastapi-on-gke-411bc14d96b2
• Size: 546 KB
• Stars: 196
• Watchers: 3
• Forks: 35
• Open Issues: 3

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