Sold by: kCloudHubs LLC
Deployed on AWS
AWS Free Tier
This is a repackaged open source software product wherein additional charges apply for support. Lightweight Python distribution for data science, machine learning, and software development.
Overview
Miniconda 25.11.1 on Ubuntu 24.04 LTS with Free Maintenance Support by kCloud
Miniconda 25.11.1 on Ubuntu 24.04 LTS, with maintenance support from kCloudHubs, is available through the AWS Cloud Marketplace as a repackaged open-source offering. Miniconda is a lightweight Python distribution that includes Python and the Conda package manager, making it easy to create isolated environments, manage dependencies, and keep consistent setups across development, testing, and production.
This AWS Marketplace AMI provides a ready-to-use Miniconda environment on EC2, allowing teams to start immediately without manual installation or dependency troubleshooting. It works well for cloud deployments, containers, and teams that want a minimal Python setup instead of the full Anaconda distribution.
Key Highlights (Technical Keywords)
- Miniconda 25.11.1 on Ubuntu 24.04 LTS
- AWS Marketplace AMI deployment
- Conda + Python included (lightweight distribution)
- Isolated environments per project
- Supports Python + non-Python dependencies
- Reproducible environments (export/share configs)
- Works with Anaconda repo, conda-forge, and bioconda
- Cloud/container-friendly
- Optional maintenance support from kCloudHubs
AWS Marketplace Options (Miniconda Variants)
- Ubuntu 24.04 (kCloudHubs): best for latest Ubuntu LTS + optional maintenance
- Ubuntu 20.04 (Apps4Rent): best for teams standardized on Ubuntu 20.04
- Ubuntu 22.04 + Jupyter: best for notebook-based workflows
Core Technical Benefits of Miniconda
- Lightweight: includes only Python, Conda, and core dependencies
- Environment isolation: prevents dependency/version conflicts
- Non-Python packages: Conda can install native/system dependencies
- Reproducibility: consistent runs across teams, CI/CD, and EC2 deployments
AWS Marketplace-Optimised Advantages
- Fast AMI launch: no manual install, fewer setup issues
- EC2 scaling: choose compute/memory/storage optimized instances as needed
- Security controls: VPC isolation + Security Groups
- Central billing: usage-based pricing in AWS bill
- Optional support: patch/update guidance + troubleshooting (listing dependent)
Highlights
- Includes Python + Conda package manager in a lightweight setup
- Supports isolated environments for different projects (no dependency conflicts)
- Works well for cloud deployments and container workflows (minimal footprint)
Details
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Ubuntu 24.04
Deployed on AWS
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Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
If you are an AWS Free Tier customer with a free plan, you are eligible to subscribe to this offer. You can use free credits to cover the cost of eligible AWS infrastructure. See AWS Free Tier for more details. If you created an AWS account before July 15th, 2025, and qualify for the Legacy AWS Free Tier, Amazon EC2 charges for Micro instances are free for up to 750 hours per month. See Legacy AWS Free Tier for more details.
Dimension | Cost/hour |
|---|---|
m4.large Recommended | $0.03 |
t3.micro | $0.03 |
t2.micro | $0.01 |
t3.small | $0.03 |
m3.medium | $0.03 |
c3.large | $0.03 |
c5.large | $0.03 |
c4.large | $0.03 |
r5.large | $0.03 |
m3.large | $0.03 |
Vendor refund policy
No Refund
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
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 Jan/2026
Additional details
Usage instructions
Connect 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 #sudo apt update #cd /tmp Reload the shell #source ~/.bashrc #conda --version
Support
Vendor support
Feel free to reach out anytime. Our support team is available 24x7 for assistance. Email: 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.
Similar products
This product has charges associated with it for technical support and maintenance provided by Apps4Rent. The usage charges are USD 0.1/hour and USD 870/yr.
This product has associated charges for building, maintaining, and supporting the Amazon Machine Image (AMI).
Miniconda version 24.7,JupyterLab version 4.0,Python version 3.11
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The NVIDIA GPU-Optimized AMI is an environment for running the GPU-accelerated deep learning and HPC containers from the NVIDIA NGC catalog. The deep learning containers from NGC catalog require this AMI for GPU acceleration on AWS P5d, P4d, P3, G4dn, G5 GPU instances.
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