Linux Docker Images
-------------------

To simplify local installation, Driverless AI is provided as a Docker image for the following OS-Driver-Container combinations:

+-----------------------------+-------------+------------------+
| Host OS                     | Host Driver | Container        |
+=============================+=============+==================+
| Ubuntu 16.04 or later       | X86_64      | Cuda9.0, Cuda9.2 |
+-----------------------------+-------------+------------------+
| RHEL or CentOS 7.4 or later | X86_64      | Cuda9.0, Cuda9.2 |
+-----------------------------+-------------+------------------+
| NVIDIA DGX Registry         |             |                  |
+-----------------------------+-------------+------------------+

**Notes**: 

- Contact sales@h2o.ai for information about Driverless AI Docker images for Power hosts.
- Cuda9.2 requires NVIDIA drivers >= 396. 

For the best performance, including GPU support, use nvidia-docker. For a lower-performance experience without GPUs, use regular docker (with the same docker image). 

These installation steps assume that you have a license key for Driverless AI. For information on how to obtain a license key for Driverless AI, visit https://www.h2o.ai/driverless-ai/. Once obtained, you will be promted to paste the license key into the Driverless AI UI when you first log in, or you can save it as a .sig file and place it in the \license folder that you will create during the installation process.

.. toctree::
   :maxdepth: 2
   :caption: Linux Docker Images

   ubuntu
   rhel
   nvidia-dgx