|
gptkbp:instanceOf
|
machine learning platform
|
|
gptkbp:category
|
gptkb:MLOps
gptkb:artificial_intelligence
gptkb:DevOps
cloud computing
data science
|
|
gptkbp:component
|
gptkb:volcanic_activity
gptkb:TensorBoard
gptkb:Fairing
gptkb:Central_Dashboard
gptkb:KFServing
gptkb:Katib
gptkb:Training_Operators
Metadata
Profiles
Pipelines
Notebooks
|
|
gptkbp:deployment
|
gptkb:Google_Kubernetes_Engine
gptkb:Amazon_EKS
gptkb:on-premises_Kubernetes
gptkb:Azure_AKS
|
|
gptkbp:developedBy
|
gptkb:Google
|
|
gptkbp:documentation
|
https://kubeflow.org/docs/
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
KubeFlow
|
|
gptkbp:integratesWith
|
gptkb:Istio
gptkb:TensorFlow
gptkb:Argo
gptkb:Jupyter_Notebooks
gptkb:Minio
gptkb:PyTorch
gptkb:scikit-learn
gptkb:Seldon_Core
gptkb:KFServing
gptkb:Katib
|
|
gptkbp:latestReleaseVersion
|
v1.8 (as of 2024)
|
|
gptkbp:license
|
gptkb:Apache_License_2.0
|
|
gptkbp:logo
|
https://kubeflow.org/images/logos/kubeflow-logo.png
|
|
gptkbp:officialWebsite
|
https://kubeflow.org/
|
|
gptkbp:openSource
|
true
|
|
gptkbp:platform
|
gptkb:cloud_service
hybrid
on-premises
|
|
gptkbp:releaseDate
|
2017
|
|
gptkbp:repository
|
https://github.com/kubeflow/kubeflow
|
|
gptkbp:runsOn
|
gptkb:Kubernetes
|
|
gptkbp:supports
|
hyperparameter tuning
pipelines
model serving
machine learning workflows
model training
|
|
gptkbp:usedFor
|
end-to-end machine learning
|
|
gptkbp:writtenBy
|
gptkb:Python
gptkb:Go
|
|
gptkbp:bfsParent
|
gptkb:Ray_(distributed_computing)
|
|
gptkbp:bfsLayer
|
7
|