AWS Deep Learning AMIs vs. TensorFlow Comparison


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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 An end-to-end open source machine learning platform. TensorFlow is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML powered applications. Build and train ML models easily using intuitive high-level APIs like Keras with eager execution, which makes for immediate model iteration and easy debugging. Easily train and deploy models in the cloud, on-prem, in the browser, or on-device no matter what language you use. A simple and flexible architecture to take new ideas from concept to code, to state-of-the-art models, and to publication faster. Build, deploy, and experiment easily with TensorFlow.
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 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 Organizations interested in a powerful open source machine learning platform
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 Free 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 5.0 / 5 ease 5.0 / 5 features 5.0 / 5 design 5.0 / 5 support 5.0 / 5 Read all reviews
	Pros & Cons from Real Users Pros TensorFlow is awesome for learning and executing machine learning, machine learning models, applications, and more. It's free and open source, and easy to get started. Cons Not much I don't like about TensorFlow. It's free and open source so how can you dislike it?
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 TensorFlow Founded: 2015 United States www.tensorflow.org
Alternatives AWS Neuron Amazon Web Services	Alternatives Gemini Enterprise Agent Platform Google
Horovod	Amazon Rekognition Amazon
Google Cloud Deep Learning VM Image Google	Amazon SageMaker Amazon
Fabric for Deep Learning (FfDL) IBM	Azure Machine Learning Microsoft
GPUonCLOUD View All	Kubeflow View All
Categories AI Infrastructure Supported AI/ML Model Training Supported Deep Learning Supported	Categories AI Development Supported AI/ML Model Training Supported Machine Learning Supported ML Experiment Tracking Supported ML Model Deployment Supported ML Model Management Supported Quantum Computing Supported
	Show More Features Machine Learning Features Deep Learning Not Supported ML Algorithm Library Not Supported Model Training Supported Natural Language Processing (NLP) Not Supported Predictive Modeling Not Supported Statistical / Mathematical Tools Supported Templates Not Supported Visualization Supported
Integrations AWS Marketplace 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 Datatron Not Supported Dragonfly 3D World Not Supported Gemma Not Supported Gemma 2 Not Supported ML.NET Not Supported Magenta Studio Not Supported NVIDIA DIGITS Not Supported Qloo Not Supported Radicalbit Not Supported TF-Agents Not Supported Ultralytics Not Supported Unify AI Not Supported Unremot Not Supported V7 Darwin Not Supported Show More Integrations View All 9 Integrations	Integrations AWS Marketplace 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 Datatron Supported Dragonfly 3D World Supported Gemma Supported Gemma 2 Supported ML.NET Supported Magenta Studio Supported NVIDIA DIGITS Supported Qloo Supported Radicalbit Supported TF-Agents Supported Ultralytics Supported Unify AI Supported Unremot Supported V7 Darwin Supported Show More Integrations View All 193 Integrations
Claim AWS Deep Learning AMIs and update features and information Claim AWS Deep Learning AMIs and update features and information	Claim TensorFlow and update features and information Claim TensorFlow and update features and information