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Caffe is a deep learning framework developed at the University of California Berkeley by Yangqing Jia.

Singularity containers for Caffe are available for use on Bridges in directory /pylon5/containers/ngc/caffe. Multiple containers are available, for different versions of python and supporting software.  These containers can be used on the Volta or  P100 GPU nodes. See Singularity images on Bridges for more information on the available containers.


  • Caffe web site
  • Please use the following citation if Caffe is  helpful in your research.

    Jia Y, Shelhamer E., Donahue J., Karayev S., Long J., Girshick R., Guadarrama S., Darrell T. 2014. Caffe: Convolutional Architecture for Fast Feature Embedding. In Proceedings of the 22nd ACM International conference on Multimedia (Orlando, Florida, USA, November 03 – 07, 2014). https://doi.org/10.1145/2647868.2654889


To see what versions of Caffe are available type

module avail caffe

To see what other modules are needed, what commands are available and how to get additional help type

module help caffe

To use Caffe, include a command like this in your batch script or interactive session to load the caffe module:

module load caffe

Be sure you also load any other modules needed, as listed by the module help caffe command.