|
gptkbp:instanceOf
|
gptkb:software
|
|
gptkbp:category
|
gptkb:machine_learning_infrastructure
cloud computing
distributed systems
|
|
gptkbp:component
|
gptkb:Ray_Core
gptkb:Ray_Data
gptkb:Ray_RLlib
gptkb:Ray_Serve
gptkb:Ray_Tune
|
|
gptkbp:contributedTo
|
gptkb:Philipp_Moritz
gptkb:Richard_Liaw
gptkb:Robert_Nishihara
Eric Liang
|
|
gptkbp:developedBy
|
UC Berkeley RISELab
|
|
gptkbp:documentation
|
https://docs.ray.io/en/latest/
|
|
gptkbp:firstReleased
|
2017
|
|
gptkbp:focusesOn
|
gptkb:machine_learning
distributed computing
scalable applications
|
|
gptkbp:integratesWith
|
gptkb:AWS
gptkb:Google_Cloud
gptkb:Microsoft_Azure
|
|
gptkbp:license
|
gptkb:Apache_License_2.0
|
|
gptkbp:notableUser
|
gptkb:LinkedIn
gptkb:OpenAI
gptkb:Shopify
gptkb:Uber
gptkb:Ant_Financial
|
|
gptkbp:programmingLanguage
|
gptkb:Python
gptkb:C++
|
|
gptkbp:relatedTo
|
gptkb:TensorFlow
gptkb:Apache_Spark
gptkb:PyTorch
gptkb:Dask
Celery
|
|
gptkbp:repository
|
https://github.com/ray-project/ray
|
|
gptkbp:size
|
yes
|
|
gptkbp:supportedBy
|
gptkb:Anyscale
|
|
gptkbp:supports
|
gptkb:Docker
gptkb:Kubernetes
fault tolerance
GPU acceleration
multi-node clusters
|
|
gptkbp:usedFor
|
gptkb:reinforcement_learning
hyperparameter tuning
data processing
model serving
|
|
gptkbp:website
|
https://www.ray.io/
|
|
gptkbp:bfsParent
|
gptkb:Ray_Data
|
|
gptkbp:bfsLayer
|
8
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
Ray open source project
|