Version
Preset
development_preset:1
Version
1
Previous versions
Description

Development utilities for program building, including C compiler, make etc.

Python

A runtime environment for Python applications.

Nodejs

The software stack for Node.JS applications

Remp

Performance-optimized software stack for Ruby-applications based on Linux, MRI Ruby, Nginx, MySQL and Passenger.

Optional components: Memcached, Redis.

Ramp

Classical software stack for Ruby-applications based on Linux, MRI Ruby, Apache, MySQL and Passenger.

Optional components: Memcached, Redis.

Python
A runtime environment for Python applications with building tools.
python:3.6.3, glibc:2.23, gcc-cc:5.4.0
Redmine
redmine:3.3.3-jet-1, min-nginx:1.12.0, mysqld:5.6.36-jet-1, letsencrypt-ssl_webserver, selfmanagement_preset
Machine learning
A pre-configured and fully integrated software stack with TensorFlow, an open source software library for machine learning, 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.
tensorflow:1.5.0, python:3.6.3, cuda:9.1.85.1, cudnn:7.0.5, cuda_only-nvidia_drivers:390.25, development_preset:1
Machine learning
A pre-configured and fully integrated software stack with TensorFlow, an open source software library for machine learning, 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.
tensorflow:1.5.0, python:2.7.14, cuda:9.1.85.1, cudnn:7.0.5, cuda_only-nvidia_drivers:390.25, development_preset:1
Machine learning
A pre-configured and fully integrated software stack with PyTorch, an open source machine learning library, 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.
pytorch:0.3.0, python:3.6.3, cuda:9.1.85.1, cudnn:7.0.5, cuda_only-nvidia_drivers:390.25, development_preset:1