Module
 default
jemalloc
Branches
Role
Wordpress
The maximum performance one-click install solution for Wordpress 4, a free and open-source content management system (CMS), running on completely integrated, pre-configured and optimized LEMP stack with the freshest version of PHP 7.
wordpress:4.7.5, php:7.1.4, mariadb-mysqld:10.1.22, min-nginx:1.11.2, selfmanagement_preset, phpmyadmin:4.7.0
Lemp
A pre-configured and optimized for better performance LEMP environment for web-applications with the next generation of PHP version 7. It is similiar to the LAMP stack, where Apache is replaced with the lightweight yet powerful Nginx, and PHP works in `php-fpm` mode.
min-nginx:1.11.2, mariadb-mysqld:10.1.22, php:7.1.4, selfmanagement_preset, phpmyadmin:4.7.0, memcached:1.4.36, redis:3.2.8
Machine learning
A pre-configured and fully integrated software stack with MXNet, an open-source deep learning framework, and Python 3.6. It provides a stable and tested execution environment for training, inference, or running as an API service. The stack can be easily integrated into continuous integration and deployment workflows. It is designed for short and long-running high-performance tasks and optimized for running on NVidia GPU.
mxnet:1.0.0, python:3.6.3, cuda:9.0.176, cudnn:7.0.5, cuda_only-nvidia_drivers:384.98, opencv:3.3.0, development_preset
Machine learning
A pre-configured and fully integrated software stack with MXNet, an open-source deep learning framework, and Python 2.7. It provides a stable and tested execution environment for training, inference, or running as an API service. The stack can be easily integrated into continuous integration and deployment workflows. It is designed for short and long-running high-performance tasks and optimized for running on NVidia GPU.
mxnet:1.0.0, python:2.7.14, cuda:9.0.176, cudnn:7.0.5, cuda_only-nvidia_drivers:384.98, opencv:3.3.0, development_preset
Machine learning
A pre-configured and fully integrated software stack with MXNet, an open-source deep learning framework, and Python 3.6. It provides a stable and tested execution environment for training, inference, or running as an API service. The stack can be easily integrated into continuous integration and deployment workflows. It is designed for short and long-running high-performance tasks and optimized for running on CPU.
mxnet:1.0.0, python:3.6.3, opencv:3.3.0, development_preset