Caffe vs. Determined AI Comparison


Caffe BAIR	Determined AI	+	+
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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 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.
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 Anyone looking for an open-source deep learning framework with expression, speed and modularity	Audience Companies looking for an open source deep learning training platform that makes building models fast and easy
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 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 Determined AI United States www.determined.ai/
Alternatives MXNet The Apache Software Foundation	Alternatives Comet
DeepSpeed Microsoft	Gemini Enterprise Agent Platform Google
Gemini Enterprise Agent Platform Google	ClearML
PyTorch	Ray Anyscale
NVIDIA GPU-Optimized AMI Amazon View All	TensorFlow View All
Categories AI Development Supported AI/ML Model Training Supported Deep Learning Supported Neural Network Supported	Categories AI Development Supported Artificial Intelligence Supported Deep Learning Supported ML Experiment Tracking 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 Amazon Web Services (AWS) Supported AWS Elastic Fabric Adapter (EFA) Supported AWS Marketplace Supported Amazon S3 Not Supported Amazon SageMaker Not Supported Apache Airflow Not Supported Docker Supported Fabric for Deep Learning (FfDL) Supported Google Cloud Platform Not Supported Hadoop Not Supported Lambda Supported MLflow Not Supported NVIDIA DIGITS Supported OpenVINO Supported Pachyderm Not Supported Seldon Not Supported TensorFlow Not Supported Zebra by Mipsology Supported Show More Integrations View All 13 Integrations	Integrations Amazon Web Services (AWS) Supported AWS Elastic Fabric Adapter (EFA) Not Supported AWS Marketplace Not Supported Amazon S3 Supported Amazon SageMaker Supported Apache Airflow Supported Docker Not Supported Fabric for Deep Learning (FfDL) Not Supported Google Cloud Platform Supported Hadoop Supported Lambda Not Supported MLflow Supported NVIDIA DIGITS Not Supported OpenVINO Not Supported Pachyderm Supported Seldon Supported TensorFlow Supported Zebra by Mipsology Not Supported Show More Integrations View All 11 Integrations
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