Statements (58)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:project
|
| gptkbp:architectural_style |
actor-based model
|
| gptkbp:developed_by |
gptkb:Anyscale
|
| gptkbp:has_community |
active community
|
| gptkbp:has_documentation |
comprehensive documentation
|
| gptkbp:has_feature |
gptkb:Java_Enhancement_Proposal
dynamic scaling fault tolerance Python API C++ API easy deployment multi-node support |
| https://www.w3.org/2000/01/rdf-schema#label |
Ray Project
|
| gptkbp:integrates_with |
gptkb:Graphics_Processing_Unit
gptkb:Py_Torch gptkb:skincare_product |
| gptkbp:language |
gptkb:Library
|
| gptkbp:license |
Apache License 2.0
|
| gptkbp:provides |
parallel execution
resource management task scheduling |
| gptkbp:purpose |
distributed computing
|
| gptkbp:release_date |
gptkb:2017
|
| gptkbp:supports |
gptkb:software_framework
data processing reinforcement learning |
| gptkbp:tutorials |
tutorials available
|
| gptkbp:use_case |
gptkb:aircraft
gptkb:Cloud_Computing_Service gptkb:robot gptkb:Telecommunications_company big data processing cloud-native applications computer vision financial modeling hyperparameter tuning natural language processing real-time analytics smart cities supply chain optimization data science edge computing energy management transportation systems AI applications multi-agent systems recommendation systems social network analysis stream processing batch processing healthcare analytics data pipelines model training graph processing Io T applications distributed reinforcement learning |
| gptkbp:bfsParent |
gptkb:Ray_Data
|
| gptkbp:bfsLayer |
6
|