Caffe vs. Raspberry Pi OS Comparison


Caffe BAIR	Raspberry Pi OS Raspberry Pi Foundation	+	+
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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 Raspberry Pi Imager is the quick and easy way to install Raspberry Pi OS and other operating systems to a microSD card, ready to use with your Raspberry Pi. Watch our 45-second video to learn how to install an operating system using Raspberry Pi Imager. Download and install Raspberry Pi Imager to a computer with an SD card reader. Put the SD card you'll use with your Raspberry Pi into the reader and run Raspberry Pi Imager. Browse a range of operating systems provided by Raspberry Pi and by other organisations, and download them to install manually.
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 Developers seeking an operating system solution
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 5.0 / 5 ease 5.0 / 5 features 5.0 / 5 design 5.0 / 5 support 4.0 / 5 Read all reviews
	Pros & Cons from Real Users Pros It is easy to install, easy to configure with raspi-config and other tools, easy to use, lots of online help, lots of sensors and components can be used with minimum effort, the drivers and programs are all available online and free of charge. Cons The OS is all good, no cons. No scale up version of the hardware. It would have been more convenient if there were a version in which PCIe NVME SSDs could be used. More GPIO pins may also be an option.
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 Raspberry Pi Foundation United Kingdom www.raspberrypi.org/software/
Alternatives MXNet The Apache Software Foundation	Alternatives KernelCare Enterprise TuxCare
DeepSpeed Microsoft	Alpine Linux
Gemini Enterprise Agent Platform Google	Stratodesk NoTouch Stratodesk
PyTorch	Ubuntu for Raspberry Pi Ubuntu
NVIDIA GPU-Optimized AMI Amazon View All	openSUSE MicroOS openSUSE View All
Categories AI Development Supported AI/ML Model Training Supported Deep Learning Supported Neural Network Supported	Categories IoT Operating Systems Supported Operating Systems Supported
Show More Features 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 Elastic Fabric Adapter (EFA) Supported Coolify Not Supported Darcy AI Not Supported Docker Supported Eclipse Streamsheets Not Supported Flower Not Supported FusionPBX Not Supported HyperConnect Not Supported Kaspa Not Supported LaunchX Not Supported NVIDIA DIGITS Supported OpenVINO Supported PROTO Not Supported Pop!_OS Supported Posting Not Supported QuarkLink Not Supported Twilio Super SIM Not Supported WebIQ Not Supported Wing Python IDE Not Supported openSUSE MicroOS Not Supported Show More Integrations View All 13 Integrations	Integrations AWS Elastic Fabric Adapter (EFA) Not Supported Coolify Supported Darcy AI Supported Docker Not Supported Eclipse Streamsheets Supported Flower Supported FusionPBX Supported HyperConnect Supported Kaspa Supported LaunchX Supported NVIDIA DIGITS Not Supported OpenVINO Not Supported PROTO Supported Pop!_OS Not Supported Posting Supported QuarkLink Supported Twilio Super SIM Supported WebIQ Supported Wing Python IDE Supported openSUSE MicroOS Supported Show More Integrations View All 45 Integrations
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