Model from cloud to edge

[肖恭翼]

Hi All, I trained a model, my training models are stored in the cloud, But I want the edge side to execute the model, the platform I use is kubeedge. What should I do?

[Paul Mundt]

Hi,

 

There are a few options you can use:

 

• Seldon Core - https://docs.seldon.io/projects/seldon-core/en/latest/
• KubeFlow - https://www.kubeflow.org/
• Setting up an MLOps pipeline to handle Cloud->Edge deployment - https://cloud.google.com/architecture/setting-up-an-mlops-environment

 

We’ve used each with K3s, but there should be no problems with doing the same under KubeEdge.

 

Best regards,

 

Paul Mundt

Founder & Managing Director

 

 

Adaptant Solutions AG

Kolonnenstrasse 8

10827 Berlin

 

Phone  +49 30 2359 355 79

Mobile +49 176 233 88 178

E-mail paul....@adaptant.io

Web    www.adaptant.io

 

 

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[肖恭翼]

Thank you, my friend.

I will follow your advice. My English is not very good, please forgive me.

If I encounter some more difficulties, can I still contact you?

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