Data Science with JupyterHub on Ubuntu 22.04 Desktop has several popular tools for data exploration, analysis, modeling & development pre installed. The installed AI/ML environment is available in browser via JupyterHub and Jupyter/Ipython notebooks with separate Jupyter environment for a single developer or individual user of a team, saving you time, cost and server administration efforts.

Operating System, Drivers and other base components

• Ubuntu 22.04 LTS
• Anaconda ("conda")
• xRDP
• Python
• Ubuntu Desktop

Authoring Tools

• Jupyter Hub
• Jupyter Lab
• Jupyter Notebook
• Visual Studio Code

ML Framework

• Python
• PySpark
• Spark
• scala

Other Notable Components

• Note: JupiterHub is accessible on port 8000
• http://localhost:8000/jupyter/hub/login

Users have full access to the DSVD. If needed, configurations can be adjusted, and additional frameworks can be installed like with any other virtual machine. The image provided here is a static VM image. Maintenance and protection against vulnerabilities of provisioned DSVDs is in the customer's responsibility.

How to Use

RDP on port 3389

HTTP on port 8000

Spark Environment Configuration

• SPARK_HOME=/opt/spark

Why use Ntegral Certified Apps?

Ntegral certified images are always up-to-date, secure, and built to work right out of the box.

Ntegral packages applications following industry standards, and continuously monitors all components and libraries for vulnerabilities and application updates. When any security threat or update is identified, Ntegral automatically repackages the applications and pushes the latest versions to the cloud marketplaces.

No contract needed: pay per hour

Disclaimer: The respective trademarks mentioned in the offering are owned by the respective companies. We do not provide commercial license of any of these products. Many of the products have a demo or open-source license as applicable.