Installing OmniSci on Docker

The links below take you to a page with an end-to-end installation script for a specific operating system and version of OmniSci.

The CPU (no GPUs) install does not support backend rendering. For example, Pointmap and Scatterplot charts are not available. The GPU install supports all chart types.

The Open Source options do not require a license, and do not include OmniSci Immerse.


  • Operating Systems
    • CentOS/RHEL 7.0 or later
    • Ubuntu 16.04 or later
  • Additional Components
    • Headless JDK
    • EPEL
    • wget or curl
    • Kernel headers
    • Kernel development packages
  • NVIDIA hardware and software (for GPU installs only)
    • Hardware: Volta, Pascal, or Kepler series GPU cards. OmniSci recommends that each GPU card in a server or distributed environment be of the same series.
    • Software: NVIDIA CUDA Drivers, version 410.48 or later. Run nvidia-smi to determine the currently running driver.


The Docker CPU install requires the least preparation and configuration of the available installation choices.


Docker GPU installation requires additional preparation to enable the Docker container to take advantage of the NVIDIA cards on the host machine.