GitHub - SimonCqk/kubedl: A unified operator for running deep learning/machine learning workloads on Kubernetes

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

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

Name		Name	Last commit message	Last commit date
Latest commit History 388 Commits
.github		.github
.license		.license
apis		apis
client		client
cmd/options		cmd/options
config		config
console		console
controllers		controllers
docs		docs
example		example
hack		hack
helm/kubedl		helm/kubedl
pkg		pkg
scripts		scripts
.gitignore		.gitignore
CODE_OF_CONDUCT.md		CODE_OF_CONDUCT.md
CONTRIBUTING.md		CONTRIBUTING.md
Dockerfile		Dockerfile
Dockerfile.dashboard		Dockerfile.dashboard
GOVERNANCE.md		GOVERNANCE.md
LICENSE		LICENSE
Makefile		Makefile
OWNERS		OWNERS
PROJECT		PROJECT
README.md		README.md
SECURITY.md		SECURITY.md
go.mod		go.mod
go.sum		go.sum
main.go		main.go