Determined AI vs. TensorFlow Comparison


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About Distributed training without changing your model code, determined takes care of provisioning machines, networking, data loading, and fault tolerance. Our open source deep learning platform enables you to train models in hours and minutes, not days and weeks. Instead of arduous tasks like manual hyperparameter tuning, re-running faulty jobs, and worrying about hardware resources. Our distributed training implementation outperforms the industry standard, requires no code changes, and is fully integrated with our state-of-the-art training platform. With built-in experiment tracking and visualization, Determined records metrics automatically, makes your ML projects reproducible and allows your team to collaborate more easily. Your researchers will be able to build on the progress of their team and innovate in their domain, instead of fretting over errors and infrastructure.	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 Companies looking for an open source deep learning training platform that makes building models fast and easy	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 Determined AI United States www.determined.ai/	Company Information TensorFlow Founded: 2015 United States www.tensorflow.org
Alternatives Comet	Alternatives Gemini Enterprise Agent Platform Google
Gemini Enterprise Agent Platform Google	Amazon Rekognition Amazon
ClearML	Amazon SageMaker Amazon
Ray Anyscale	Azure Machine Learning Microsoft
TensorFlow View All	Kubeflow View All
Categories AI Development Supported Artificial Intelligence Supported Deep Learning Supported ML Experiment Tracking 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 MLflow Supported Amazon EC2 Trn1 Instances Not Supported Amazon EC2 Trn2 Instances Not Supported Amazon Elastic Inference Not Supported Amazon SageMaker Studio Lab Not Supported DagsHub Not Supported Databricks Not Supported Exafunction Not Supported GPUonCLOUD Not Supported Gemma Not Supported IBM SPSS Modeler Not Supported NVIDIA Triton Inference Server Not Supported Polyaxon Not Supported Pop!_OS Not Supported Radicalbit Not Supported Runyour AI Not Supported Superwise Not Supported SynapseAI Not Supported Voxel51 Not Supported teX.ai Not Supported Show More Integrations View All 11 Integrations	Integrations MLflow Supported Amazon EC2 Trn1 Instances Supported Amazon EC2 Trn2 Instances Supported Amazon Elastic Inference Supported Amazon SageMaker Studio Lab Supported DagsHub Supported Databricks Supported Exafunction Supported GPUonCLOUD Supported Gemma Supported IBM SPSS Modeler Supported NVIDIA Triton Inference Server Supported Polyaxon Supported Pop!_OS Supported Radicalbit Supported Runyour AI Supported Superwise Supported SynapseAI Supported Voxel51 Supported teX.ai Supported Show More Integrations View All 193 Integrations
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