Overview
The JupyterHub AMI provides a multi-user JupyterHub installation with easy user management that can be launched on any AWS EC2 instance types.
It gives users access to AI and data science tools and resources without installation and maintenance tasks while providing the full flexibility of managing your own infrastructure. No vendor Lock-In.
- Immediately start using your JupyterHub installation, no SSH required to launch any services
- Multiple IDEs including JupyterLab, Jupyter Classic Notebook, RStudio IDE, and VSCode
- Multiple Python and R versions installed and configured
- A set of most popular Open Source packages installed and configured
- Easily installation of more packages, you have control
- Basic set of extensions installed without cluttering the server so you can configure the installation as needed
- Manage access of multiple users using an industry-standard system based on KeyCloak
- Easily connect to external LDAP or Kerberos to federate users from KeyCloak
- Easily configure a custon DNS for SSL termination
- GPU and multiple version of CUDA installed for the best usage of PyTorch and TensorFlow
- No per RAM or CPU pricing. Just a small fee for the AMI and use any EC2 instance type including GPUs
- Based on Ubuntu 22.04
- Free trial
For more information take a look at the documentation: https://aws.inmatura.com/ami/jupyterhub/
Highlights
- ZERO INITIAL CONFIGURATION: Immediately start using your JupyterHub installation, no ssh or configuration required
- BATTERIES INCLUDED: User management. Jupyter, RStudio IDE and VSCode, multiple Python and R versions with core data science packages installed
- STANDARD AND EXTENSIBLE: Standard JupyterHub with Python, R, just what you expect, no surprises. Extend as needed. You are in control
Details
Typical total price
$0.25/hour
Features and programs
Financing for AWS Marketplace purchases
Pricing
Free trial
- ...
Instance type | Product cost/hour | EC2 cost/hour | Total/hour |
|---|---|---|---|
t2.nano | $0.15 | $0.006 | $0.156 |
t2.micro AWS Free Tier | $0.15 | $0.012 | $0.162 |
t2.small | $0.15 | $0.023 | $0.173 |
t2.medium | $0.15 | $0.046 | $0.196 |
t2.large | $0.15 | $0.093 | $0.243 |
t2.xlarge | $0.15 | $0.186 | $0.336 |
t2.2xlarge | $0.15 | $0.371 | $0.521 |
t3.nano | $0.15 | $0.005 | $0.155 |
t3.micro AWS Free Tier | $0.15 | $0.01 | $0.16 |
t3.small | $0.15 | $0.021 | $0.171 |
Additional AWS infrastructure costs
Type | Cost |
|---|---|
EBS General Purpose SSD (gp2) volumes | $0.10/per GB/month of provisioned storage |
Vendor refund policy
We do not currently support refunds, but you can cancel at any time. Email for special cases.
Legal
Vendor terms and conditions
Content disclaimer
Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
Update JupyterHub, Keycloak, Python, R, libraries, GPU driver and other underlying dependencies.
Additional details
Usage instructions
After launching an EC2 instance JupyterHub will start automatically on port 80
- Access it at: http://<instance-ip>
- The default username is: jupyterhub-admin
- The default password is the EC2 instance ID, you can get that from the EC2 dashboard, for example: i-0b3445939c7492
See full documentation at https://aws.inmatura.com/ami/jupyterhub/
Resources
Vendor resources
Support
Vendor support
Please look at the documentation:
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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Customer reviews
No Support
We could not get SSO to work with Azure AD. There is very little documentation for this AMI, and it just points you to KeyCloak's documentation for authentication - which was not helpful. I emailed support and never heard back.
Does not work
Once the instance is running, you open the web page and the only option it gives you is 'Sign In With KeyCloak'. When you click the button, it goes to 'This site can’t be reached'.
Please fix this!
It does not work
When the page opens there is a button that says "Sign in with KeyCloak", but when you click it does not redirect to the sign in page.
It does what it does
The AMI does exactly what it says it does. It is intended for people that know Jupyter and Python in order to extend the install other environments and other functionality but at the same time it works out of the box, as an AMI service you still need to manage the instance, backups but its easy to integrate with existing processes.
lots of anoying bug
For a product as simple as this one there are a lot of annoying bugs. e.g. impossible to export large files (50mb) if your notebook becomes too large it doesn't save.
definitely not an out of the box solution