MXNet

MXNet

The Apache Software Foundation
+
+

Related Products

  • Gemini Enterprise Agent Platform
    999 Ratings
    Visit Website
  • Cloudflare
    2,042 Ratings
    Visit Website
  • Runpod
    230 Ratings
    Visit Website
  • Bright Data
    1,424 Ratings
    Visit Website
  • Fraud.net
    56 Ratings
    Visit Website
  • Qloo
    23 Ratings
    Visit Website
  • Mentornity
    99 Ratings
    Visit Website
  • Retool
    593 Ratings
    Visit Website
  • StackAI
    54 Ratings
    Visit Website
  • LM-Kit.NET
    29 Ratings
    Visit Website

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

GPUs bring data in and out quickly, but have little locality of reference because of their small caches. They are geared towards applying a lot of compute to little data, not little compute to a lot of data. The networks designed to run on them therefore execute full layer after full layer in order to saturate their computational pipeline (see Figure 1 below). In order to deal with large models, given their small memory size (tens of gigabytes), GPUs are grouped together and models are distributed across them, creating a complex and painful software stack, complicated by the need to deal with many levels of communication and synchronization among separate machines. CPUs, on the other hand, have large, much faster caches than GPUs, and have an abundance of memory (terabytes). A typical CPU server can have memory equivalent to tens or even hundreds of GPUs. CPUs are perfect for a brain-like ML world in which parts of an extremely large network are executed piecemeal, as needed.

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 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

Audience

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

Audience

Companies doing AI and ML development

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 Not Supported

Screenshots and Videos

Screenshots and Videos

Pricing

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

Pricing

No information available.
Free Version Not Supported
Free Trial Not 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 Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

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

Company Information

Neural Magic
Founded: 2018
United States
neuralmagic.com

Alternatives

Alternatives

Sharky Neural Network

Sharky Neural Network

SharkTime Software
Neural Designer

Neural Designer

Artelnics
Caffe

Caffe

BAIR

Categories

AI Development Supported
Deep Learning Supported
Neural Network Supported

Categories

Deep Learning Supported
Machine Learning Supported
Neural Network Supported

Integrations

AWS Elastic Fabric Adapter (EFA) Supported
AWS Marketplace Supported
Amazon EC2 Inf1 Instances Supported
Amazon EC2 P4 Instances Supported
Amazon Elastic Inference Supported
Amazon SageMaker Debugger Supported
Amazon SageMaker Model Building Supported
Cameralyze Supported
Flower Supported
GPUonCLOUD Supported
Google Cloud Deep Learning VM Image Supported
Gradient Supported
Guild AI Supported
Horovod Supported
LeaderGPU Supported
MLReef Supported
NVIDIA Triton Inference Server Supported
Ultralytics Not Supported

Integrations

AWS Elastic Fabric Adapter (EFA) Not Supported
AWS Marketplace Not Supported
Amazon EC2 Inf1 Instances Not Supported
Amazon EC2 P4 Instances Not Supported
Amazon Elastic Inference Not Supported
Amazon SageMaker Debugger Not Supported
Amazon SageMaker Model Building Not Supported
Cameralyze Not Supported
Flower Not Supported
GPUonCLOUD Not Supported
Google Cloud Deep Learning VM Image Not Supported
Gradient Not Supported
Guild AI Not Supported
Horovod Not Supported
LeaderGPU Not Supported
MLReef Not Supported
NVIDIA Triton Inference Server Not Supported
Ultralytics Supported
Claim MXNet and update features and information
Claim MXNet and update features and information
Claim Neural Magic and update features and information
Claim Neural Magic and update features and information