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https://github.com/davidandw190/faas-dl-inference
My work towards better understanding how the FaaS paradigm can be adapted for Edge-Cloud environments for improving distributed, containerized ML inferencing workflows
https://github.com/davidandw190/faas-dl-inference
data-locality edge inference kubernetes machine-learning mlops openfaas pytorch serverless
Last synced: about 23 hours ago
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My work towards better understanding how the FaaS paradigm can be adapted for Edge-Cloud environments for improving distributed, containerized ML inferencing workflows
- Host: GitHub
- URL: https://github.com/davidandw190/faas-dl-inference
- Owner: davidandw190
- License: apache-2.0
- Created: 2024-09-01T11:09:15.000Z (26 days ago)
- Default Branch: main
- Last Pushed: 2024-09-12T20:50:10.000Z (14 days ago)
- Last Synced: 2024-09-21T18:38:35.855Z (5 days ago)
- Topics: data-locality, edge, inference, kubernetes, machine-learning, mlops, openfaas, pytorch, serverless
- Language: Jupyter Notebook
- Homepage:
- Size: 12.6 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files: