Managed Jupyter Notebook Hosting
Choose the Jupyter Notebook Hosting Plans
One-click upgrade or downgrade Jupyter Notebook cloud hosting plans to fit your business needs.
$1.25/month- 2 CPU Cores
- 2GB Memory
- 60GB SSD Disk
- 60GB SATA Backup Storage
- Monthly : $6.99/month
- Semi-Annually : $6.49/month
- Annually : $5.99/month
- Biennially : $4.99/month
- Unmetered Bandwidth
- Twice per Month Backup
- On-Demand Backup
- 24/7 Technical Support
$2.25/month- 3 CPU Cores
- 4GB Memory
- 100GB SSD Disk
- 100GB SATA Backup Storage
- Monthly : $12.99/month
- Semi-Annually : $11.99/month
- Annually : $10.99/month
- Biennially : $8.99/month
- Unmetered Bandwidth
- Twice per Month Backup
- On-Demand Backup
- 24/7 Technical Support
$4.00/month- 4 CPU Cores
- 8GB Memory
- 160GB SSD Disk
- 160GB SATA Backup Storage
- Monthly : $23.99/month
- Semi-Annually : $21.99/month
- Annually : $19.99/month
- Biennially : $15.99/month
- Unmetered Bandwidth
- Weekly Backup
- On-Demand Backup
- 24/7 Technical Support
$8.00/month- 6 CPU Cores
- 16GB Memory
- 240GB SSD Disk
- 240GB SATA Backup Storage
- Monthly : $43.99/month
- Semi-Annually : $40.99/month
- Annually : $37.99/month
- Biennially : $31.99/month
- Unmetered Bandwidth
- Weekly Backup
- On-Demand Backup
- 24/7 Technical Support
Features of All Jupyter Notebook Hosting Plans
Platform Features
Orchestrator | Kubernetes | |
Operating System for Managed Jupyter Notebook | Ubuntu 18.04 LTS | |
Container Runtime | Docker | |
SSL Connection for Jupyter Notebook on Kubernetes | ||
Instance for Jupyter Notebook on Kubernetes | Dedicated |
Support Features
Management Features
Optional Addons
Technical Questions about Cloud Hosting for Jupyter Notebook
Advantages of Jupyter Notebook
Jupyter Notebook allows users to view the results of the code in-line without the dependency of other parts of the code. In the notebook, every cell of the code can be potentially checked at any time to draw an output. This make Jupyter Notebook extremely useful for exploratory data analysis (EDA) process.
Maintaining the state of execution of each cell is difficult, but with Jupyter Notebook, this work is done automatically. Jupyter caches the results of every cell that is running — whether it is a code that is training an ML model or a code that is downloading gigabytes of data from a remote server.
Because of its representation in JSON format, Jupyter Notebook is platform-independent as well as language-independent. Another reason is that Jupyter can be processed by any several languages, and can be converted to any file formats such as Markdown, HTML, PDF, and others.
As a component, the shared Jupyter Notebook supports visualisations and includes rendering some of the data sets like graphics and charts, which are generated from codes with the help of modules like Matplotlib, Plotly, or Bokeh. Jupyter lets the users narrate visualisations, alongside share the code and data sets, enabling others for interactive changes.
Get Started with Jupyter Notebook in Minutes
Managed Jupyter Notebook Hosting on Kubernetes Cloud
Cloud hosting enables applications and websites to be accessed using cloud resources. Unlike traditional hosting, the solution is not deployed on a single server. On the contrary, a network composed of connected virtual and physical cloud servers carries applications or websites, ensuring greater flexibility and scalability. The cloud Jupyter Notebook hosting platform is a cluster of powerful servers that tolerates a single point of hardware failures and increases loads, guaranteeing a high uptime.
