Caffe

Spec sheet

Purpose

Caffe is a deep learning framework developed by Berkeley AI Research and community contributors.Read 8 Oct 2026 · caffe.berkeleyvision.org

Audience

The project describes use across academic research, startup prototypes, and industrial applications.Read 8 Oct 2026 · caffe.berkeleyvision.org

Support

The site directs usage and installation questions to the caffe-users group and bug reports to GitHub Issues.Read 8 Oct 2026 · caffe.berkeleyvision.org

License

Caffe is released under the BSD 2-Clause license.Read 8 Oct 2026 · caffe.berkeleyvision.org

Acceleration

Caffe can use NVIDIA cuDNN for GPU acceleration and can also be built in CPU-only mode.Read 8 Oct 2026 · caffe.berkeleyvision.org

Builds

The installation guide says Make is officially supported and CMake is community supported.Read 8 Oct 2026 · caffe.berkeleyvision.org

Compute

Caffe supports CPU and GPU operation, with GPU mode requiring CUDA.Read 8 Oct 2026 · caffe.berkeleyvision.org

Design

Caffe emphasizes expression, speed, modularity, openness, and community.Read 8 Oct 2026 · caffe.berkeleyvision.org

Interfaces

Caffe provides command-line, Python, and MATLAB interfaces.Read 8 Oct 2026 · caffe.berkeleyvision.org

Model configuration

Models and optimization can be defined with configuration rather than hard-coded.Read 8 Oct 2026 · caffe.berkeleyvision.org

Models

The Caffe Model Zoo provides a format and tools for sharing model information and downloading trained model binaries.Read 8 Oct 2026 · caffe.berkeleyvision.org

Supported platforms

The installation guide lists Ubuntu, Debian, OS X, RHEL, CentOS, Fedora, Windows, Docker, and AWS setup options.Read 8 Oct 2026 · caffe.berkeleyvision.org

Use cases

The site describes Caffe models for visual classification, image similarity, speech, robotics, and other tasks.Read 8 Oct 2026 · caffe.berkeleyvision.org

Plans and prices

Every Caffe plan and price →

Where Specifiction places it

• Deep Learning Software#9 of 358.1