# sayakpaul/ml-deployment-k8s-fastapi

<https://repo.masters-masters.com/en/repos/sayakpaul/ml-deployment-k8s-fastapi>

[Home](https://repo.masters-masters.com/en) › [sayakpaul](https://repo.masters-masters.com/en/owners/sayakpaul) › [ml-deployment-k8s-fastapi](https://repo.masters-masters.com/en/repos/sayakpaul/ml-deployment-k8s-fastapi)

sayakpaul/ml-deployment-k8s-fastapi has 223 stars on GitHub. Its RepoMasters card: Prototype tier. This project shows how to serve an ONNX-optimized image…

| Field | Value |
| --- | --- |
| Owner | [sayakpaul](https://repo.masters-masters.com/en/owners/sayakpaul) |
| Stars | 223 |
| Forks | 41 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | Apache-2.0 |
| Created | 2022 |
| Topics | docker, fastapi, google-cloud-platform, kubernetes, onnx, rest, tensorflow |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [sayakpaul/ml-deployment-k8s-fastapi](https://github.com/sayakpaul/ml-deployment-k8s-fastapi) |

## Repository

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

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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