Caffe vs. OpenVINO Comparison


Caffe BAIR	OpenVINO Intel	+	+
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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 The Intel® Distribution of OpenVINO™ toolkit is an open-source AI development toolkit that accelerates inference across Intel hardware platforms. Designed to streamline AI workflows, it allows developers to deploy optimized deep learning models for computer vision, generative AI, and large language models (LLMs). With built-in tools for model optimization, the platform ensures high throughput and lower latency, reducing model footprint without compromising accuracy. OpenVINO™ is perfect for developers looking to deploy AI across a range of environments, from edge devices to cloud servers, ensuring scalability and performance across Intel architectures.
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 Not 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 AI developers and data scientists seeking optimized, scalable AI deployment solutions across Intel hardware for applications in computer vision, LLMs, and generative AI
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 Free Open source 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 BAIR United States caffe.berkeleyvision.org	Company Information Intel Founded: 1968 United States www.intel.com/content/www/us/en/developer/tools/openvino-toolkit/overview.html
Alternatives MXNet The Apache Software Foundation	Alternatives Intel Geti Intel
DeepSpeed Microsoft	oneAPI Intel
Gemini Enterprise Agent Platform Google	OpenCL The Khronos Group
PyTorch	Intel Open Edge Platform Intel
NVIDIA GPU-Optimized AMI Amazon View All	EndoAim ASUS View All
Categories AI Development Supported AI/ML Model Training Supported Deep Learning Supported Neural Network Supported	Categories AI Development Supported AI Inference Supported Deep Learning 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 Caffe Not Supported Docker Supported EndoAim Not Supported Hugging Face Not Supported Intel Geti Not Supported Intel Open Edge Platform Not Supported Keras Not Supported Lambda Supported LaunchX Not Supported Nutanix Karbon Platform Services Not Supported ONNX Not Supported OpenVINO Supported PaddlePaddle Not Supported Polyaxon Supported Pop!_OS Supported PyTorch Not Supported TensorFlow Not Supported Zebra by Mipsology Supported Show More Integrations View All 13 Integrations	Integrations AWS Marketplace Not Supported Amazon Web Services (AWS) Not Supported Caffe Supported Docker Not Supported EndoAim Supported Hugging Face Supported Intel Geti Supported Intel Open Edge Platform Supported Keras Supported Lambda Not Supported LaunchX Supported Nutanix Karbon Platform Services Supported ONNX Supported OpenVINO Not Supported PaddlePaddle Supported Polyaxon Not Supported Pop!_OS Not Supported PyTorch Supported TensorFlow Supported Zebra by Mipsology Not Supported Show More Integrations View All 14 Integrations
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