Supported Environments

The following tables list the environments that support Driverless AI.

Linux

Package Type

OS

GPU

CPU

RPM

RHEL 7 & 8/CentOS 7 & 8

CUDA 11.8 and above/CPU only

x86_64

DEB

Ubuntu 16.04/Ubuntu 18.04/Ubuntu 20.04/Ubuntu 22.04

CUDA 11.8 and above/CPU only

x86_64

TAR SH

Most Linux

CUDA 11.8 and above/CPU only

x86_64

Docker

Docker CE

CUDA 11.8 and above/CPU only

x86_64

Note

Using TensorFlow requires your CPUs to support Advanced Vector Extensions (AVX). If your CPUs do not support AVX, then TensorFlow can be turned off by setting the following configuration option: enable_tensorflow_import=false.

For install instructions, refer to Linux x86_64 Installs.

Windows 10 Pro, Enterprise, or Education

Caution: Windows computers (laptops in particular) should only be used with small datasets for the purpose of exploring the software. For serious use, server hardware is required. Consider spinning up a more powerful instance in the cloud instead of using a laptop. Avoid laptops with less than 16 GB of RAM. GPUs are not supported on Windows.

Package Type

OS

GPU Support?

CPU

Min Memory

DEB

Ubuntu 18.04 for WSL (not fully tested)

No

x86_64

16 GB

Docker

Docker Desktop for Win 2.2.0.3 (42716)

No

x86_64

16 GB

For install instructions, refer to Windows 10.

Mac OS X

Caution: Mac OS computers (laptops in particular) should only be used with small datasets for the purpose of exploring the software. For serious use, server hardware is required. Consider spinning up a more powerful instance in the cloud instead of using a laptop. Avoid laptops with less than 16 GB of RAM. GPUs and MOJOs are not supported on Mac OS.

Package Type

OS

GPU Support?

CPU

Min Memory

Docker

Mac OS X

No

x86_64

16 GB

For install instructions, refer to Mac OS X.

Cloud Platforms

Driverless AI provides AMI for the following cloud platforms:

Cloud Platforms

H2O AI Cloud

AWS

Azure

Google Cloud