VM Instance

Jupyter Hub for Data Science on Ubuntu Desktop

JupyterHub combines the most widely used programming and data science tools to create a multi-user environment with shared resources. It proxies several Jupyter Notebook server instances at once to set up a data analysis workstation. Fast and flexible deployment virtual machine (VM) images preconfigured with data analytics tools on personal computers (PC) or in the cloud without installation or maintenance. 

Ubuntu is The world’s most popular open source desktop operating system. Fast, intuitive, and first class Cyber Security anywhere in the world. Access your desktop anywhere through any device with an internet connection, including your computer, notebook, and tablet. 

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JupyterHyub is customizable to fit most use cases by students, data scientists, and researchers. Jupyter server supports kernels for numerous programming lanugages like Python, Cplusplus, R, Ruby, Julia, and Kotlin. Available graphical user interfaces (GUI) like Jupyter Notebook, JupyterLab, RStudio, and more are integrated into the Data Science Virtual Machine (DVSM). It provides access to PyTorch, TensorFlow, SciPy, Matplotlib, Numpy, Pandas, Visual Studio Code (VSC), and other machine learning (ML) and artificial intelligence (AI) software through the browser. 

JupyterHub is highly scalable when deployed with Podman and Docker images, or through Kubernetes. Container technology allows JupyterHub to support thousands of users. JupyterHub security supports OAuth and GitHub protocols. It uses Role Based Access Control (RBAC) to authorize access to its Application Programming Interfaces (API) so unauthorized users cannot tamper data. 

Ubuntu Desktop LTS is recommended for enterprises prioritizing security and maintenance. LTS is geared towards enterprises to target multiple desktop and server installations. LTS guarantees reliability so that your enterprise never stops running smoothly and securely. Ubuntu Desktop LTS reduces unplanned downtime thanks to its 24/7 Livepatch. The Linux kernel is continuously patched while the system runs to avoid unplanned maintenance windows. LTS includes more testing and bug fixing because of an extended Beta cycle and shorter development cycle. 

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.