kubedl-io/kubedl
Run your deep learning workloads on Kubernetes more easily and efficiently.
This tool helps machine learning engineers and MLOps professionals run deep learning tasks like model training and inference more easily and efficiently on Kubernetes. You provide your deep learning model (TensorFlow, PyTorch, etc.) and it manages the underlying infrastructure, offering optimized deployment and resource utilization. This is for users who manage deep learning systems in cloud-native environments.
531 stars. No commits in the last 6 months.
Use this if you are an MLOps engineer or data scientist who needs to streamline the deployment and management of deep learning models on Kubernetes clusters.
Not ideal if you are a data scientist primarily working with local machines or traditional, non-Kubernetes infrastructure for your deep learning experiments.
Stars
531
Forks
78
Language
Go
License
Apache-2.0
Category
Last pushed
Mar 04, 2024
Commits (30d)
0
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