Ray

Ray

Anyscale
+
+

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About

Build and deploy deep learning models for custom use cases. Our automated machine learning process allows customers to create powerful AI solutions built on our best-in-class models and tailored to the specific challenges they face. Digital platforms can quickly create models specifically made to fit their guidelines and needs. Build large language models for specialized use cases such as customer and technical support bots. Create image classification models to better understand image libraries for search, organization, and more.

About

Develop on your laptop and then scale the same Python code elastically across hundreds of nodes or GPUs on any cloud, with no changes. Ray translates existing Python concepts to the distributed setting, allowing any serial application to be easily parallelized with minimal code changes. Easily scale compute-heavy machine learning workloads like deep learning, model serving, and hyperparameter tuning with a strong ecosystem of distributed libraries. Scale existing workloads (for eg. Pytorch) on Ray with minimal effort by tapping into integrations. Native Ray libraries, such as Ray Tune and Ray Serve, lower the effort to scale the most compute-intensive machine learning workloads, such as hyperparameter tuning, training deep learning models, and reinforcement learning. For example, get started with distributed hyperparameter tuning in just 10 lines of code. Creating distributed apps is hard. Ray handles all aspects of distributed execution.

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Supported
Mac Supported
Linux Supported
Cloud Supported
On-Premises Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Companies and developer teams interested in a platform that enables them to build and deploy deep learning models for custom use cases

Audience

ML and AI Engineers, Software Developers

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Not Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Pricing

Free
Open source. Consumption-based.
Free Version Supported
Free Trial Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Supported
Live Online Supported
In Person Supported

Company Information

Hive
Founded: 2013
United States
thehive.ai/solutions/auto-ml

Company Information

Anyscale
Founded: 2019
United States
ray.io

Alternatives

Alternatives

Categories

AI Development Supported
Deep Learning Supported
Image Annotation Supported
Machine Learning Supported

Categories

Deep Learning Supported
Machine Learning Supported

Integrations

Amazon EC2 Trn2 Instances Not Supported
Amazon SageMaker Not Supported
Amazon Web Services (AWS) Not Supported
Anyscale Not Supported
Azure Kubernetes Service (AKS) Not Supported
Dask Not Supported
Databricks Not Supported
Feast Not Supported
Flyte Not Supported
Google Cloud Platform Not Supported
Google Kubernetes Engine (GKE) Not Supported
Hive Data Supported
Hive Moderation Supported
LanceDB Not Supported
MLflow Not Supported
Python Not Supported
Snowflake Not Supported
TensorFlow Not Supported
Union Cloud Not Supported
io.net Not Supported

Integrations

Amazon EC2 Trn2 Instances Supported
Amazon SageMaker Supported
Amazon Web Services (AWS) Supported
Anyscale Supported
Azure Kubernetes Service (AKS) Supported
Dask Supported
Databricks Supported
Feast Supported
Flyte Supported
Google Cloud Platform Supported
Google Kubernetes Engine (GKE) Supported
Hive Data Not Supported
Hive Moderation Not Supported
LanceDB Supported
MLflow Supported
Python Supported
Snowflake Supported
TensorFlow Supported
Union Cloud Supported
io.net Supported
Claim Hive AutoML and update features and information
Claim Hive AutoML and update features and information
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Claim Ray and update features and information