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 (2)

Label Occurrences
Ray canonical 3
Ray Core 2

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
ecosystem Ray AI Runtime
feature autoscaling
distributed object store
fault tolerance
resource-aware scheduling
task scheduling
web-based dashboard
hasComponent Ray Core
linked to: Ray

Ray Dashboard
Ray Data
Ray RLlib
linked to: RLlib

Ray Serve
Ray Train
Ray Tune
Ray Workflows
integratesWith AWS
linked to: Amazon Web Services

Apache Spark
Dask
Google Cloud Platform
linked to: Google Cloud

Kubernetes
LightGBM
Microsoft Azure
linked to: Azure

PyTorch
TensorFlow
XGBoost
scikit-learn
license Apache License 2.0
originatedAt University of California, Berkeley
originatedIn RISELab
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++
Java
Python
website https://www.ray.io

How these facts were elicited

Referenced by (5)

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

RLlib developedOnTopOf Ray
Ray hasComponent Ray Core
linked to: Ray
Ray Tune partOf Ray
Ray Serve integratesWith Ray Core
linked to: Ray