I am looking for a simple solution to use Jupyter Notebook which allows me to deploy the artifacts (object code) for an ARM-based edge device. Idea is to prepare those artifacts at local PC-host (powerful machine) and it is prepared within notebook then deploy it and run it at edge (remote) device. Is there possible to have multiple Jupyter Notebooks and have it possible to connect the embedded device?
I would like to capture data, prepare my inference model and then deploy this mode for the edge. Basically, this workflow has certain interactivity and in such an environment allows retrain my customized model. If you can recommend me the Jupyter Kernels, or other workflow components, I would very appreciate it.
question from:
https://stackoverflow.com/questions/65852594/deployment-for-edge-device 与恶龙缠斗过久,自身亦成为恶龙；凝视深渊过久,深渊将回以凝视…
