Ray

E438345

Ray is an open-source distributed computing framework designed to scale Python applications for tasks like machine learning, reinforcement learning, and data processing across clusters.

All labels observed (1)

Label Occurrences
Ray canonical 1

How this entity was disambiguated

Statements (51)

Predicate Object
instanceOf cluster computing framework
distributed computing framework
open-source software
designedFor data processing workloads
distributed computing
machine learning workloads
reinforcement learning workloads
scaling Python applications
developedBy Anyscale NERFINISHED
ecosystem Ray AI Runtime NERFINISHED
feature autoscaling
distributed object store
fault tolerance
resource-aware scheduling
task scheduling
web-based dashboard
hasComponent Ray Core NERFINISHED
Ray Dashboard NERFINISHED
Ray Data NERFINISHED
Ray RLlib NERFINISHED
Ray Serve NERFINISHED
Ray Train
Ray Tune NERFINISHED
Ray Workflows NERFINISHED
integratesWith AWS NERFINISHED
Apache Spark NERFINISHED
Dask NERFINISHED
Google Cloud Platform NERFINISHED
Kubernetes NERFINISHED
LightGBM NERFINISHED
Microsoft Azure NERFINISHED
PyTorch NERFINISHED
TensorFlow NERFINISHED
XGBoost NERFINISHED
scikit-learn NERFINISHED
license Apache License 2.0
originatedAt University of California, Berkeley NERFINISHED
originatedIn RISELab NERFINISHED
programmingLanguage Python
repository https://github.com/ray-project/ray
supports actor-based concurrency
batch processing
distributed training
hyperparameter tuning
model serving
stream processing
task parallelism
supportsLanguage C++ NERFINISHED
Java
Python
website https://www.ray.io

How these facts were elicited

Referenced by (1)

Full triples — surface form annotated when it differs from this entity's canonical label.

RLlib developedOnTopOf Ray