KubeDL
Run your deep learning workloads on Kubernetes more easily and efficiently.
Stars
452
Forks
80
Open issues
55
Closed issues
79
Last release
over 1 year ago
Last commit
5 months ago
Watchers
452
Total releases
8
Total commits
387
Open PRs
23
Closed PRs
151
- Project Website
- https://kubedl.io
- Platform
- License
- apache-2.0
- Category
- Technology
- MongoDB Python Typescript javascript Shell VueJS Dockerfile Smarty Less Makefile
- Offers premium version?
- NO
- Proprietary?
- NO
- About
-
KubeDL enables deep learning workloads to run on Kubernetes more easily and efficiently.
KubeDL is a CNCF sandbox project.
<a href="https://camo.githubusercontent.com/8aee669db45b82619559ea89a92cfa656ef700a1eddb3aa4eefb140ec9187551/68747470733a2f2f7636642e696f2f5f7374617469632f636e63662d636f6c6f722e737667" rel="nofollow"></a>
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
Morphling: Fast, Near-Optimal Auto-Configuration for Cloud-Native Model Serving. ACM Socc 2021
License
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