Before You Begin the Installation

Please review the following information before you begin installing Driverless AI.

Note about nvidia-docker 1.0

If you have nvidia-docker 1.0 installed, you need to remove it and all existing GPU containers. Refer to https://github.com/NVIDIA/nvidia-docker/blob/master/README.md for more information.

Note about CUDA 10

CUDA 9.0 is strongly recommended for Driverless AI. CUDA 10 is not currently supported (Driverless AI will fall back to cpu-only mode). You can install CUDA 9.0 and CUDA 10 side-by-side on the same host. You can use the CUDA 9.0 libraries with the most recent NVIDIA driver, so simultaneously running other applications on the same host that require CUDA 10 and an updated driver is fine.

Note about Authentication

The default authentication setting in Driverless AI is “unvalidated.” In this case, Driverless AI will accept any login and password combination, it will not validate whether the password is correct for the specified login ID, and it will connect to the system as the user specified in the login ID. This is true for all instances, including Cloud, Docker, and native instances.

We recommend that you configure authentication. Driverless AI provides a number of authentication options, including LDAP, PAM, Local, and None. Refer to Configuring Authentication for information on how to enable a different authentication method.

Note: Driverless AI is also integrated with IBM Spectrum Conductor and supports authentication from Conductor. Contact sales@h2o.ai for more information about using IBM Spectrum Conductor authentication.