Ray (distributed computing)

GPTKB entity

Predicate	Object
gptkbp:instanceOf	open-source software framework
gptkbp:category	gptkb:software distributed computing machine learning infrastructure
gptkbp:citation	Moritz, P., Nishihara, R., et al. (2018). Ray: A Distributed Framework for Emerging AI Applications. OSDI 2018.
gptkbp:component	gptkb:Ray_Core gptkb:Ray_Data gptkb:Ray_RLlib gptkb:Ray_Serve gptkb:Ray_Train gptkb:Ray_Tune
gptkbp:developedBy	gptkb:Anyscale
gptkbp:feature	gptkb:reinforcement_learning hyperparameter tuning distributed training serving task parallelism actor-based programming
gptkbp:firstReleased	2017
https://www.w3.org/2000/01/rdf-schema#label	Ray (distributed computing)
gptkbp:integratesWith	gptkb:AWS gptkb:LightGBM gptkb:TensorFlow gptkb:XGBoost gptkb:Azure gptkb:GCP gptkb:Jupyter gptkb:PyTorch gptkb:Dask gptkb:scikit-learn gptkb:Horovod gptkb:MLflow gptkb:KubeFlow
gptkbp:license	gptkb:Apache_License_2.0
gptkbp:programmingLanguage	gptkb:Python gptkb:C++
gptkbp:purpose	gptkb:machine_learning distributed computing scalable Python applications
gptkbp:repository	https://github.com/ray-project/ray
gptkbp:supports	gptkb:Kubernetes cloud deployment on-premises deployment
gptkbp:usedBy	gptkb:Amazon gptkb:OpenAI gptkb:Shopify gptkb:Uber gptkb:Ant_Financial
gptkbp:usedFor	reinforcement learning research parallel and distributed Python execution scaling machine learning workloads serving machine learning models
gptkbp:website	https://www.ray.io/
gptkbp:bfsParent	gptkb:Ion_Stoica
gptkbp:bfsLayer	6