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