Caffe vs. LeaderGPU Comparison


Caffe BAIR	LeaderGPU	+	+
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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 Conventional CPUs can no longer cope with the increased demand for computing power. GPU processors exceed the data processing speed of conventional CPUs by 100-200 times. We provide servers that are specifically designed for machine learning and deep learning purposes and are equipped with distinctive features. Modern hardware based on the NVIDIA® GPU chipset, which has a high operation speed. The newest Tesla® V100 cards with their high processing power. Optimized for deep learning software, TensorFlow™, Caffe2, Torch, Theano, CNTK, MXNet™. Includes development tools based on the programming languages Python 2, Python 3, and C++. We do not charge fees for every extra service. This means disk space and traffic are already included in the cost of the basic services package. In addition, our servers can be used for various tasks of video processing, rendering, etc. LeaderGPU® customers can now use a graphical interface via RDP out of the box.
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 Not Supported Linux 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 Anyone wanting a solution providing servers with a GPU for deep machine learning
Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported	Support Phone Support Supported 24/7 Live Support Supported Online Supported
API Offers API 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 Supported Free Trial Not Supported	Pricing €0.14 per minute 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 Supported
Company Information BAIR United States caffe.berkeleyvision.org	Company Information LeaderGPU Netherlands www.leadergpu.com
Alternatives MXNet The Apache Software Foundation	Alternatives GPUonCLOUD
DeepSpeed Microsoft	Massed Compute
Gemini Enterprise Agent Platform Google	MaxCloudON
PyTorch	iRender
NVIDIA GPU-Optimized AMI Amazon View All	Xesktop View All
Categories AI Development Supported AI/ML Model Training Supported Deep Learning Supported Neural Network Supported	Categories AI Cloud Providers Supported Cloud GPU Supported Render Farms 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 AWS Marketplace Supported Amazon Web Services (AWS) Supported C++ Not Supported Docker Supported Fabric for Deep Learning (FfDL) Supported Lambda Supported MXNet Not Supported NVIDIA DIGITS Supported NVIDIA DRIVE Not Supported OpenVINO Supported Polyaxon Supported Pop!_OS Supported Python Not Supported TensorFlow Not Supported Torch Not Supported Zebra by Mipsology Supported Show More Integrations View All 13 Integrations	Integrations AWS Elastic Fabric Adapter (EFA) Not Supported AWS Marketplace Not Supported Amazon Web Services (AWS) Not Supported C++ Supported Docker Not Supported Fabric for Deep Learning (FfDL) Not Supported Lambda Not Supported MXNet Supported NVIDIA DIGITS Not Supported NVIDIA DRIVE Supported OpenVINO Not Supported Polyaxon Not Supported Pop!_OS Not Supported Python Supported TensorFlow Supported Torch Supported Zebra by Mipsology Not Supported Show More Integrations View All 6 Integrations
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