Machine learning

A pre-configured and fully integrated software stack with TensorFlow, an open source software library for machine learning, and the Python programming language. It provides a stable and tested execution environment for training, inference, or running as an API service. The stack is designed for short and long-running high-performance tasks, and can be easily integrated into continuous integration and deployment workflows. It is built with the Intel MKL and MKL-DNN libraries and optimized for running on CPU.



You can install the appliance on any new or existing Linux server, download and run virtual machine, use it as a base image for Docker or Vagrant, or launch it with a new cloud platform instance, VPS or dedicated server for a supported hosting providers.

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Install on Linux

You can install the appliance directly on any Linux with 64-bit kernel (>=2.6.32). Run from the command line:

curl | sh

You’ll be asked to execute some operations as root via sudo during the installation.

Or download archive, unpack it to /jet directory, install appliance executing the command /jet/enter /jet/own/bin/fasten and start the services by running /jet/enter start.

How to use

To enter the runtime environment or to execute a command inside the runtime environment you can use the utility /jet/enter. If no arguments are present, the standard shell will be executed inside the runtime environment. You can specify a command as an argument, it will be executed inside the runtime environment.

For example, to start all services in the runtime environment you can do /jet/enter start. To execute a mysql client you can do /jet/enter mysql; or run first /jet/enter, and than run from the new command line mysql.

761 MB
Ubuntu 14.04
896 MB

You can access the virtual machine via console or SSH:

Login: jet
Password: jet