project-codeflare/codeflare
Simplifying the definition and execution, scaling and deployment of pipelines on the cloud.
This project helps data scientists and machine learning engineers easily develop, scale, and manage their AI/ML models across cloud and on-premise environments. You provide your model development code, and the system handles the complexities of resource allocation and scaling. This allows AI/ML practitioners to focus on model innovation rather than infrastructure management.
234 stars. No commits in the last 6 months. Available on PyPI.
Use this if you are a data scientist or ML engineer who needs to run your AI/ML models on a hybrid cloud platform like OpenShift and want to simplify resource management and scaling.
Not ideal if you are a single-machine user or prefer to manually configure every aspect of your cloud infrastructure for very specific, non-scalable tasks.
Stars
234
Forks
37
Language
Jupyter Notebook
License
Apache-2.0
Category
Last pushed
Sep 19, 2023
Commits (30d)
0
Dependencies
8
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