Overview
Miniconda 26.3.2 on Ubuntu 26.04 with Free Maintenance Support by kCloud
Miniconda 26.3.2 on Ubuntu 26.04 is a repackaged open-source Python environment and package management platform available through AWS Marketplace. This offering includes free maintenance support from kCloud, with optional paid support services available for organizations that require advanced assistance and operational guidance.
Miniconda is a lightweight distribution that includes the Conda package manager and essential dependencies required to create isolated development environments. It enables developers, data scientists, researchers, and DevOps teams to efficiently manage Python packages, dependencies, and environments while maintaining flexibility and control over software installations.
Built on Ubuntu 26.04 LTS and optimized for AWS environments, Miniconda provides a reliable and scalable platform for Python development, data science workloads, machine learning projects, automation, and cloud-native application deployment.
What Miniconda Does
Miniconda simplifies package and environment management by allowing users to create isolated environments for different projects, preventing dependency conflicts and ensuring reproducible deployments. With access to thousands of packages through Conda repositories, users can easily install, update, and manage Python, data science, machine learning, and scientific computing tools.
Whether developing applications, building machine learning models, automating workflows, or managing cloud-based environments, Miniconda provides a lightweight and efficient foundation for modern development and analytics workflows.
Why Choose Miniconda on Ubuntu 26.04?
- Lightweight Conda-based Python environment management.
- Create isolated environments for different projects.
- Simplified package installation and dependency management.
- Ideal for Python development, data science, and machine learning.
- Flexible and customizable development platform.
- Suitable for developers, researchers, and enterprise teams.
Technical Highlights
- Miniconda 26.3.2 pre-installed and configured.
- Ubuntu 26.04 LTS operating system.
- Conda package and environment management platform.
- Support for Python package installation and updates.
- Isolated virtual environment creation and management.
- Compatible with data science and machine learning frameworks.
- Optimized for AWS Marketplace deployments.
AWS Marketplace Optimized
This solution is designed for quick deployment on Amazon EC2 and integrates seamlessly into cloud-native development and analytics environments.
- Pre-configured AWS Marketplace AMI.
- Rapid deployment on Amazon EC2.
- Optimized for Python and data science workflows.
- Suitable for development, testing, and production environments.
- Easy integration with CI/CD pipelines and DevOps toolchains.
Use Cases
- Python application development.
- Data science and analytics projects.
- Machine learning and AI workloads.
- Scientific computing environments.
- Automation and scripting tasks.
- Cloud-native application development.
- DevOps and CI/CD workflows.
Benefits
- Simplify dependency and package management.
- Create reproducible development environments.
- Reduce software conflicts between projects.
- Accelerate development and deployment workflows.
- Support scalable analytics and machine learning workloads.
- Deploy quickly in AWS-based environments.
Maintenance Support
Free maintenance support from kCloud helps ensure a stable and reliable deployment experience. Organizations can also choose optional support services for additional operational assistance, troubleshooting, and environment optimization.
Why Choose This AWS Marketplace Solution?
Miniconda 26.3.2 on Ubuntu 26.04 combines lightweight package management, isolated environment creation, and scalable Python development capabilities in a cloud-ready platform. Optimized for AWS deployments and backed by kCloud maintenance support, it provides a fast, flexible, and efficient foundation for Python development, data science, machine learning, and enterprise application workflows.
Highlights
- Lightweight Python distribution with Conda package and environment management.
- Create isolated environments to prevent dependency conflicts across projects.
- Simplified installation and management of Python, data science, and machine learning packages.
Details
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Features and programs
Financing for AWS Marketplace purchases
Pricing
Dimension | Cost/hour |
|---|---|
m4.large Recommended | $0.03 |
t3.micro | $0.03 |
t2.micro | $0.01 |
t2.2xlarge | $0.03 |
t2.medium | $0.03 |
t3.medium | $0.03 |
t3.nano | $0.03 |
r4.large | $0.03 |
r3.large | $0.03 |
t3.large | $0.03 |
Vendor refund policy
No Refund
How can we make this page better?
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
Packaged with latest updates as of June/2026
Additional details
Usage instructions
Connect you your instance via SSH, the username is ubuntu. More info on SSH: https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/AccessingInstancesLinux.html - Run the following commands:
sudo su
conda --version
which conda
Connect to your Linux instance using an SSH client - Amazon Elastic Compute Cloud Connect to your Linux instances using an SSH client.
Support
Vendor support
Feel free to reach out anytime. Our support team is available 24x7 for assistance mail: meha@kcloudhubs.com
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.