KubeDL enables deep learning workloads to run on Kubernetes more easily and efficiently.
KubeDL is a [CNCF sandbox](https://www.cncf.io/sandbox-projects/) project.
## Features
- Support training and inferences workloads (Tensorflow, Pytorch. [Mars](https://github.com/mars-project/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](https://github.com/alibaba/morphling)
- Package and deploy ML Model in container and track the model lineage natively with Kubernentes CRD.
Check the website: https://kubedl.io
## Getting Involved
| Platform | Purpose | Estimated Response Time |
|-------------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------|-------------------------|
| [DingTalk](https://github.com/kubedl-io/kubedl/blob/master/docs/img/kubedl-dingtalk.png ) | For discussions about development and questions about usage. | < 1 day |
| [Github Issues](https://github.com/kubedl-io/kubedl/issues) | For reporting bugs and filing feature requests. | < 2 days |
| E-Mail(cncf-kubedl-maintainers@lists.cncf.io) | For discussing specific topics or ask for help from community members/maintainers. | < 3 days |
## Publications
Morphling: Fast, Near-Optimal Auto-Configuration for Cloud-Native Model Serving. ACM Socc 2021[link](https://dl.acm.org/doi/10.1145/3472883.3486987)
## License
[![FOSSA Status](https://app.fossa.com/api/projects/git%2Bgithub.com%2Fkubedl-io%2Fkubedl.svg?type=large)](https://app.fossa.com/projects/git%2Bgithub.com%2Fkubedl-io%2Fkubedl?ref=badge_large)