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	Cuda8.0, Cuda9.0, Cuda9.2
RHEL or CentOS 7.4 or later	X86_64	Cuda8.0, 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-download/. 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.

Linux Docker Images

• Install on Ubuntu
  • Environment
  • Install on Ubuntu with GPUs
  • Install on Ubuntu with CPUs
  • Stopping the Docker Image
  • Upgrading the Docker Image
• Install on RHEL
  • Environment
  • Install on RHEL with GPUs
  • Install on RHEL with CPUs
  • Stopping the Docker Image
  • Upgrading the Docker Image
• Install on NVIDIA DGX Registry
  • Environment
  • Installing the NVIDIA DGX Registry
  • Stopping Driverless AI
  • Upgrading Driverless AI