Audience
Developers and researchers requiring an open-source deep learning framework for research prototyping and production
About MXNet
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.
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Company Information
The Apache Software Foundation
Founded: 1999
United States
mxnet.apache.org
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Product Details
Platforms Supported
Cloud
Windows
Mac
Linux
Training
Documentation
Support
Online
MXNet Frequently Asked Questions
Q: What kinds of users and organization types does MXNet work with?
MXNet works with these users and organization types: Mid Size Business, Small Business, Enterprise, Freelance, Nonprofit, Government, and Startup.
Q: What languages does MXNet support in their product?
MXNet supports these languages: English.
Q: What kind of support options does MXNet offer?
MXNet offers support via online.
Q: What other applications or services does MXNet integrate with?
MXNet integrates with: Amazon EC2 Inf1 Instances, Amazon EC2 P4 Instances, Amazon Elastic Inference, Amazon SageMaker Debugger, AWS Elastic Fabric Adapter (EFA), AWS Marketplace, Cameralyze, Flower, Google Cloud Deep Learning VM Image, GPUonCLOUD, Gradient, Guild AI, Horovod, LeaderGPU, MLReef, NVIDIA Triton Inference Server, and Amazon SageMaker Model Building.
Q: Does MXNet have an API?
Yes, MXNet has an API.
Q: What type of training does MXNet provide?
MXNet provides training in the form of documentation.
