Caffe
The facts below are what the maker publishes about Caffe, checked and dated. Our editors have not written about it yet.
Plans and prices
From Caffe's own pricing page, checked 8 Oct 2026.
| Plan | Price | What it gives you |
|---|---|---|
| Caffe | Free | BSD 2-Clause licensed deep learning framework |
The facts
Each one read from Caffe's own pages, with the date it was checked.
What it does
- Acceleration
- Caffe can use NVIDIA cuDNN for GPU acceleration and can also be built in CPU-only mode.checked 8 Oct 2026
- Audience
- The project describes use across academic research, startup prototypes, and industrial applications.checked 8 Oct 2026
- Builds
- The installation guide says Make is officially supported and CMake is community supported.checked 8 Oct 2026
- Compute
- Caffe supports CPU and GPU operation, with GPU mode requiring CUDA.checked 8 Oct 2026
- Design
- Caffe emphasizes expression, speed, modularity, openness, and community.checked 8 Oct 2026
- Interfaces
- Caffe provides command-line, Python, and MATLAB interfaces.checked 8 Oct 2026
- License
- Caffe is released under the BSD 2-Clause license.checked 8 Oct 2026
- Model configuration
- Models and optimization can be defined with configuration rather than hard-coded.checked 8 Oct 2026
- Models
- The Caffe Model Zoo provides a format and tools for sharing model information and downloading trained model binaries.checked 8 Oct 2026
- Purpose
- Caffe is a deep learning framework developed by Berkeley AI Research and community contributors.checked 8 Oct 2026
- Support
- The site directs usage and installation questions to the caffe-users group and bug reports to GitHub Issues.checked 8 Oct 2026
- Use cases
- The site describes Caffe models for visual classification, image similarity, speech, robotics, and other tasks.checked 8 Oct 2026
Where it runs
- Supported platforms
- The installation guide lists Ubuntu, Debian, OS X, RHEL, CentOS, Fedora, Windows, Docker, and AWS setup options.checked 8 Oct 2026
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