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Want your own Galaxy server, for free? You can easily create Galaxy servers on the NSF Jetstream cloud. Each server comes preconfigured with hundreds of tools and commonly used reference datasets. It only takes a couple of minutes to start one. Once running, you can use it or change it up any way you like.

How do I get access?

You must be a US-based academic to access Jetstream cloud. Access is free but it is necessary to have an XSEDE account (go to to sign up) and have an active resource allocation. Getting the resource allocation is matter of writing a summary of your research in less than 100 words and waiting ~24 hrs for the application to get approved. Go to and manage allocation requests to get started; then choose Startup type allocation. See this page for more details about the request allocation process.

How do I launch my own Galaxy server?

  1. Visit and log in

  1. Browse the available images and choose Galaxy 16.01 Standalone

  1. Follow the prompts on the screen to launch an instance

  1. In less than 5 minutes, you should have your own, fully configured Galaxy server - just copy the new server IP address to a new browser window.

What is Jetstream cloud?

Jetstream is a US national cyberinfrastructure managed science and engineering cloud that offers researchers access to flexible computational resources. Researchers are able to create virtual machines (VM) and virtual disks on the remote resource that look and feel like their lab workstation or home machine, but come preconfigured with dozens of software tools and/or can dynamically scale to accommodate variable computational demand. Access to Jetstream is awarded as a merit-based allocation via XSEDE free of charge.

Jetstream is supported by National Science Foundation award ACI-1445604: 'Jetstream - A Self-Provisioned, Scalable Science and Engineering Cloud Environment’. More information about the project is available at

About the resource consumption

When you choose your instance size, keep in mind that you will burn as many AUs per hour as the amount of cores your instance has.

For example, if you have a 6 cores instance, you will burn 6 AUs per hour