AWS Deep Learning AMIs vs. Caffe Comparison


AWS Deep Learning AMIs Amazon	Caffe BAIR	+	+
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About AWS Deep Learning AMIs (DLAMI) provides ML practitioners and researchers with a curated and secure set of frameworks, dependencies, and tools to accelerate deep learning in the cloud. Built for Amazon Linux and Ubuntu, Amazon Machine Images (AMIs) come preconfigured with TensorFlow, PyTorch, Apache MXNet, Chainer, Microsoft Cognitive Toolkit (CNTK), Gluon, Horovod, and Keras, allowing you to quickly deploy and run these frameworks and tools at scale. Develop advanced ML models at scale to develop autonomous vehicle (AV) technology safely by validating models with millions of supported virtual tests. Accelerate the installation and configuration of AWS instances, and speed up experimentation and evaluation with up-to-date frameworks and libraries, including Hugging Face Transformers. Use advanced analytics, ML, and deep learning capabilities to identify trends and make predictions from raw, disparate health data.	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.
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 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 Deep Learning solution that helps developers quickly build scalable, secure deep learning applications	Audience Anyone looking for an open-source deep learning framework with expression, speed and modularity
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 View more images or videos	Screenshots and Videos View more images or videos
Pricing No information available. Free Version Not Supported Free Trial Not Supported	Pricing No information available. Free Version 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 Amazon Founded: 2006 United States aws.amazon.com/machine-learning/amis/	Company Information BAIR United States caffe.berkeleyvision.org
Alternatives AWS Neuron Amazon Web Services	Alternatives MXNet The Apache Software Foundation
Horovod	DeepSpeed Microsoft
Google Cloud Deep Learning VM Image Google	Gemini Enterprise Agent Platform Google
Fabric for Deep Learning (FfDL) IBM	PyTorch
GPUonCLOUD View All	NVIDIA GPU-Optimized AMI Amazon View All
Categories AI Infrastructure Supported AI/ML Model Training Supported Deep Learning 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 Marketplace Supported Amazon Web Services (AWS) Supported AWS Elastic Fabric Adapter (EFA) Not Supported AWS Neuron Supported Amazon EC2 G5 Instances Supported Amazon EC2 Inf1 Instances Supported Amazon EC2 P4 Instances Supported Amazon EC2 Trn1 Instances Supported Amazon EC2 Trn2 Instances Supported Docker Not Supported Fabric for Deep Learning (FfDL) Not Supported Lambda Not Supported NVIDIA DIGITS Not Supported OpenVINO Not Supported Polyaxon Not Supported Pop!_OS Not Supported PuppyGraph Supported Zebra by Mipsology Not Supported Show More Integrations View All 9 Integrations	Integrations AWS Marketplace Supported Amazon Web Services (AWS) Supported AWS Elastic Fabric Adapter (EFA) Supported AWS Neuron Not Supported Amazon EC2 G5 Instances Not Supported Amazon EC2 Inf1 Instances Not Supported Amazon EC2 P4 Instances Not Supported Amazon EC2 Trn1 Instances Not Supported Amazon EC2 Trn2 Instances Not Supported Docker Supported Fabric for Deep Learning (FfDL) Supported Lambda Supported NVIDIA DIGITS Supported OpenVINO Supported Polyaxon Supported Pop!_OS Supported PuppyGraph Not Supported Zebra by Mipsology Supported Show More Integrations View All 13 Integrations
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