Caffe vs. MXNet Comparison


Caffe BAIR	MXNet The Apache Software Foundation	+	+
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About Caffe is a deep learning framework made with expression, speed, and modularity in mind. It is developed by Berkeley AI Research (BAIR) and by community contributors. Yangqing Jia created the project during his PhD at UC Berkeley. Caffe is released under the BSD 2-Clause license. Check out our web image classification demo! Expressive architecture encourages application and innovation. Models and optimization are defined by configuration without hard-coding. Switch between CPU and GPU by setting a single flag to train on a GPU machine then deploy to commodity clusters or mobile devices. Extensible code fosters active development. In Caffe’s first year, it has been forked by over 1,000 developers and had many significant changes contributed back. Thanks to these contributors the framework tracks the state-of-the-art in both code and models. Speed makes Caffe perfect for research experiments and industry deployment. Caffe can process over 60M images per day with a single NVIDIA K40 GPU.	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.
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 Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported
Audience Anyone looking for an open-source deep learning framework with expression, speed and modularity	Audience Developers and researchers requiring an open-source deep learning framework for research prototyping and production
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 View more images or videos	Screenshots and Videos View more images or videos
Pricing No information available. Free Version 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 BAIR United States caffe.berkeleyvision.org	Company Information The Apache Software Foundation Founded: 1999 United States mxnet.apache.org
Alternatives MXNet The Apache Software Foundation	Alternatives Deeplearning4j
DeepSpeed Microsoft	AWS Deep Learning AMIs Amazon
Gemini Enterprise Agent Platform Google	Horovod
PyTorch	Apache NuttX Apache
NVIDIA GPU-Optimized AMI Amazon View All	Caffe BAIR View All
Categories AI Development Supported AI/ML Model Training Supported Deep Learning Supported Neural Network Supported	Categories AI Development Supported AI/ML Model Training Supported Deep Learning Supported Neural Network Supported
Deep Learning Features Convolutional Neural Networks Not Supported Document Classification Supported Image Segmentation Not Supported ML Algorithm Library Not Supported Model Training Not Supported Neural Network Modeling Not Supported Self-Learning Not Supported Visualization Supported
Integrations AWS Elastic Fabric Adapter (EFA) Supported AWS Marketplace Supported Amazon EC2 Inf1 Instances Not Supported Amazon Elastic Inference Not Supported Amazon Web Services (AWS) Supported Docker Supported Fabric for Deep Learning (FfDL) Supported Google Cloud Deep Learning VM Image Not Supported Gradient Not Supported Guild AI Not Supported Horovod Not Supported Lambda Supported MLReef Not Supported NVIDIA Triton Inference Server Not Supported OpenVINO Supported Polyaxon Supported Pop!_OS Supported Zebra by Mipsology Supported Show More Integrations View All 13 Integrations	Integrations AWS Elastic Fabric Adapter (EFA) Supported AWS Marketplace Supported Amazon EC2 Inf1 Instances Supported Amazon Elastic Inference Supported Amazon Web Services (AWS) Not Supported Docker Not Supported Fabric for Deep Learning (FfDL) Not Supported Google Cloud Deep Learning VM Image Supported Gradient Supported Guild AI Supported Horovod Supported Lambda Not Supported MLReef Supported NVIDIA Triton Inference Server Supported OpenVINO Not Supported Polyaxon Not Supported Pop!_OS Not Supported Zebra by Mipsology Not Supported Show More Integrations View All 18 Integrations
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