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Published 20 hours ago • verified publisher icon kubedl-io
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Metadata

Run your deep learning workloads on Kubernetes more easily and efficiently.

License FOSSA Status KubeDL Action Status CII Best Practices


KubeDL enables deep learning workloads to run on Kubernetes more easily and efficiently.

KubeDL is a CNCF sandbox project.


Features

  • Support training and inferences workloads (Tensorflow, Pytorch. Mars etc.)in a single unified controller. Features include advanced scheduling, acceleration using cache, metadata persistentcy, file sync, enable service discovery for training in host network etc.
  • Automatically tunes the best configurations for ML model deployment. - Morphling Github
  • Package and deploy ML Model in container and track the model lineage natively with Kubernentes CRD.

Check the website: https://kubedl.io


Publications

Morphling: Fast, Near-Optimal Auto-Configuration for Cloud-Native Model Serving. ACM Socc 2021

License

FOSSA Status

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verified publisher icon kubedl-io

Metadata

Run your deep learning workloads on Kubernetes more easily and efficiently.

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