Cube Studio

English | 简体中文

Infra

cube-studio is a one-stop cloud-native machine learning platform open sourced by Tencent Music, Currently mainly includes the following functions

1、data management: feature store, online and offline features; dataset management, structure data and media data, data label platform
2、develop: notebook(vscode/jupyter); docker image management; image build online
3、train: pipeline drag and drop online; open template market; distributed computing/training tasks, example tf/pytorch/mxnet/spark/ray/horovod/kaldi/volcano; batch priority scheduling; resource monitoring/alarm/balancing; cron scheduling
4、automl: nni, katib, ray
5、inference: model manager; serverless traffic control; tf/pytorch/onnx/tensorrt model deploy, tfserving/torchserver/onnxruntime/triton inference; VGPU; load balancing、high availability、elastic scaling
6、infra: multi-user; multi-project; multi-cluster; edge cluster mode; blockchain sharing;

Doc

https://github.com/tencentmusic/cube-studio/wiki

WeChat group

learning、deploy、consult、contribution、cooperation, join group, wechart id luanpeng1234 remark<open source>, construction guide

Job Template

tips:

1、You can develop your own template, Easy to develop and more suitable for your own scenarios

template	type	describe
linux	base	Custom stand-alone operating environment, free to implement all custom stand-alone functions
datax	import export	Import and export of heterogeneous data sources
media-download	data processing	Distributed download of media files
video-audio	data processing	Distributed extraction of audio from video
video-img	data processing	Distributed extraction of pictures from video
sparkjob	data processing	spark serverless
ray	data processing	python ray multi-machine distributed framework
volcano	data processing	volcano multi-machine distributed framework
xgb	machine learning	xgb model training and inference
ray-sklearn	machine learning	sklearn based on ray framework supports multi-machine distributed parallel computing
pytorchjob-train	model train	Multi-machine distributed training of pytorch
horovod-train	model train	Multi-machine distributed training of horovod
tfjob	model train	Multi-machine distributed training of tensorflow
tfjob-train	model train	distributed training of tensorflow: plain and runner
tfjob-runner	model train	distributed training of tensorflow: runner method
tfjob-plain	model train	distributed training of tensorflow: plain method
kaldi-train	model train	Multi-machine distributed training of kaldi
tf-model-evaluation	model evaluate	distributed model evaluation of tensorflow2.3
tf-offline-predict	model inference	distributed offline model inference of tensorflow2.3
model-offline-predict	model inference	distributed offline model inference of framework
deploy-service	model deploy	deploy inference service