Miniconda-On-Ubuntu22-04LTS

Headline: Deploy Production-Ready Miniconda Environment in Minutes on Ubuntu 22.04 LTS

Summary: Avoid the complexity of managing Python versions, virtual environments, and data science dependencies. This image delivers a fully configured, secure, and production-ready Miniconda environment on Ubuntu 22.04 LTS — ideal for data science, machine learning, AI development, and Python-based application workloads on Microsoft Azure.

Why use this Image?

• Instant Launch: Miniconda comes pre-installed with the Conda package manager and Python. Create and manage isolated environments immediately after deployment.
• Optimized for Data & AI Workloads: Supports popular libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch, and Jupyter for efficient ML and analytics workflows.
• Cloud-Optimized: Clean Ubuntu 22.04 LTS base image optimized for Azure VMs, with organized directories for environments, notebooks, logs, and project data.
• Ideal For: Data scientists, ML engineers, researchers, and developers building analytics pipelines, AI models, APIs, and interactive notebooks.

Get Started: Click “Get it now” to launch.

Installed Versions:

• Miniconda: Latest stable release
• Python: Conda-managed (multiple versions supported)
• OS: Ubuntu 22.04 LTS

How to Verify Your Installation:

• sudo su : Switch to Super User.
• conda --version : Verify the installed Miniconda version.
• conda info : Confirm Conda environment details.

About CloudTrio Solutions

CloudTrio Solutions specializes in delivering secure, high-performance, and production-ready cloud images for Microsoft Azure.
Each image is thoroughly tested, optimized, and validated to ensure long-term reliability and smooth operation.

Our mission is simple:
Deliver enterprise-grade cloud solutions that reduce setup time, improve performance, and minimize operational overhead.

24/7 Expert Support

All CloudTrio images include access to expert support from certified cloud engineers.

• Email: support@cloudtriosolutions.com
• Phone: Available 24/7 for paid support subscribers
• Assistance with Conda environment management, package resolution, Jupyter configuration, ML library setup, and Azure scaling.

Useful Links

Managed Azure Services
CloudTrio Solutions – Official Website

Disclaimer: CloudTrio Solutions does not provide commercial licenses for Miniconda, Python, or any open-source software included in this image.
All components are distributed under their respective open-source licenses.

Default Ports: 8888 (Jupyter Notebook), 5000 (Application/API)
Allowed Ports: 8888 (TCP), 5000 (TCP), 80(TCP), 443(TCP), 22 (SSH)

© CloudTrio Solutions. All rights reserved.