Other Platform-specific Installations


These instructions are not kept up to date.

NVIDIA Jetson TX1 embedded platform

sudo apt-get install python-numpy python-scipy python-dev python-pip python-nose g++ libblas-dev git
pip install --upgrade --no-deps git+git://github.com/Theano/Theano.git --user  # Need Theano 0.8 or more recent


Brian Vandenberg emailed installation instructions on Gentoo, focusing on how to install the appropriate dependencies.

Nicolas Pinto provides ebuild scripts.

AWS Marketplace with Bitfusion AMI

AWS EC2 AMI pre-installed with Nvidia drivers, CUDA, cuDNN, Theano, Keras, Lasagne, Python 2, Python 3, PyCuda, Scikit-Learn, Pandas, Enum34, iPython, and Jupyter. Note, as always there is no charge for Theano and other open software, however there is a charge for AWS hosting + Bitfusion.

Launch an instance from the AWS Marketplace.


Builds of Theano are available as Docker images: Theano Docker (CPU) or Theano Docker (CUDA). These are updated on a weekly basis with bleeding-edge builds of Theano. Examples of running bash in a Docker container are as follows:

sudo docker run -it kaixhin/theano
sudo nvidia-docker run -it kaixhin/cuda-theano:7.0

For a guide to Docker, see the official docs. CUDA support requires NVIDIA Docker. For more details on how to use the Theano Docker images, consult the source project.