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|
- Contact firstname.lastname@example.org 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.
- Install on Ubuntu
- Install on RHEL
- Install on NVIDIA GPU Cloud/NGC Registry