MXNet

MXNet

The Apache Software Foundation
Ray

Ray

Anyscale
+
+

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About

A hybrid front-end seamlessly transitions between Gluon eager imperative mode and symbolic mode to provide both flexibility and speed. Scalable distributed training and performance optimization in research and production is enabled by the dual parameter server and Horovod support. Deep integration into Python and support for Scala, Julia, Clojure, Java, C++, R and Perl. A thriving ecosystem of tools and libraries extends MXNet and enables use-cases in computer vision, NLP, time series and more. Apache MXNet is an effort undergoing incubation at The Apache Software Foundation (ASF), sponsored by the Apache Incubator. Incubation is required of all newly accepted projects until a further review indicates that the infrastructure, communications, and decision-making process have stabilized in a manner consistent with other successful ASF projects. Join the MXNet scientific community to contribute, learn, and get answers to your questions.

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 Supported
Mac Supported
Linux 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

Developers and researchers requiring an open-source deep learning framework for research prototyping and production

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 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

The Apache Software Foundation
Founded: 1999
United States
mxnet.apache.org

Company Information

Anyscale
Founded: 2019
United States
ray.io

Alternatives

Alternatives

Caffe

Caffe

BAIR

Categories

AI Development Supported
Deep Learning Supported
Neural Network Supported

Categories

Deep Learning Supported
Machine Learning Supported

Integrations

AWS Elastic Fabric Adapter (EFA) Supported
Amazon EC2 Inf1 Instances Supported
Amazon EC2 Trn2 Instances Not Supported
Amazon SageMaker Debugger Supported
Amazon Web Services (AWS) Not Supported
Anyscale Not Supported
Dask Not Supported
Feast Not Supported
Flyte Not Supported
GPUonCLOUD Supported
Google Cloud Deep Learning VM Image Supported
Google Cloud Platform Not Supported
Google Kubernetes Engine (GKE) Not Supported
Guild AI Supported
Kubernetes Not Supported
Python Not Supported
TensorFlow Not Supported
Union Cloud Not Supported
io.net Not Supported

Integrations

AWS Elastic Fabric Adapter (EFA) Not Supported
Amazon EC2 Inf1 Instances Not Supported
Amazon EC2 Trn2 Instances Supported
Amazon SageMaker Debugger Not Supported
Amazon Web Services (AWS) Supported
Anyscale Supported
Dask Supported
Feast Supported
Flyte Supported
GPUonCLOUD Not Supported
Google Cloud Deep Learning VM Image Not Supported
Google Cloud Platform Supported
Google Kubernetes Engine (GKE) Supported
Guild AI Not Supported
Kubernetes Supported
Python Supported
TensorFlow Supported
Union Cloud Supported
io.net Supported
Claim MXNet and update features and information
Claim MXNet and update features and information
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Claim Ray and update features and information