Sold by: EASYCLOUD
Deployed on AWS
AWS Free Tier
This product has charges associated with it for technical support with a 24-hour response time. This AMI contains Python 3.10 on CentOS Stream 9 repackaged by Easycloud. It features a modern development stack with pre-configured Pip and Virtualenv.
Overview
This is a repackaged open source software product wherein additional charges apply for technical support with a 24-hour response time. Python 3.10, built on a minimal CentOS Stream 9 installation, is included in this AMI, repackaged by Easycloud. It provides a highly optimized, production-ready development environment deliberately engineered to bypass dependency hell, accelerating workloads across modern data science, artificial intelligence, and scalable backend development.
Core Features & Integrations
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C-Extension Compilation Ready: We have pre-installed critical compilation headers (python3-devel) and build tools (gcc, make). This strictly eliminates the notorious compilation errors typically encountered when installing C-bound libraries like numpy, pandas, or psycopg2, saving hours of configuration time.
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Isolated Environment Toolchain: The environment is fully integrated with standard dependency managers (pip, virtualenv), allowing developers to instantly spin up secure, isolated virtual environments without polluting the global system path.
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CentOS Stream 9 Foundation: Provides a robust, enterprise-grade underlying OS with deep structural alignment to RHEL, ensuring high security and seamless ecosystem compatibility with AlmaLinux, Rocky Linux, and traditional CentOS deployments.
Key Benefits
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The Ultimate AI & Data Science Node: By starting with a bloat-free, compilation-ready environment, you ensure maximum compute availability. This makes it the perfect, conflict-free engine for deploying heavy-duty machine learning frameworks (PyTorch, TensorFlow, Keras, Scikit-learn), advanced LLM inference/AI tooling (Ollama, LangChain), and massive data analytics pipelines (Jupyter, Pandas, Apache Spark).
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Modern API & Backend Engine: Provides a highly stable runtime for building scalable REST/GraphQL REST APIs and microservices using industry-standard web frameworks (FastAPI, Django, Flask). It natively serves as the connective tissue for distributed task queues (Celery, RabbitMQ) and modern data stores (PostgreSQL, MySQL, Redis, MongoDB, Elasticsearch).
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Polyglot Microservices Integration: While serving as an impenetrable stronghold for Python workloads, this execution node integrates flawlessly into diverse polyglot microservices architectures. It is designed to smoothly interoperate with external services, load balancers, and container orchestration (Docker, Kubernetes) built across the world's most popular technology stacks, including JavaScript (Node.js), Java (OpenJDK), Golang, Rust, Ruby, C#, PHP, and Swift.
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Production Optimized & Expert Support: Cleaned of pip caches and temporary files to ensure a lightweight footprint, and secured with the latest OS patches. It delivers a highly stable environment, fully supported by comprehensive documentation and fast technical assistance (guaranteed 24-hour response time) to prevent costly downtime.
Highlights
- A bloat-free Python 3.10 environment on CentOS Stream 9. Optimized for fast boot times and a reduced security attack surface.
- Expert Support: Backed by comprehensive documentation and fast, professional technical assistance.
Details
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
CentOs CentOS Stream 9
Deployed on AWS
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Features and programs
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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. Alternatively, you can pay upfront for a contract, which typically covers your anticipated usage for the contract duration. Any usage beyond contract will incur additional usage-based costs.
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 |
|---|---|
t3.medium Recommended | $0.04 |
t3.micro | $0.04 |
t2.micro | $0.04 |
c6id.4xlarge | $0.29 |
g5.4xlarge | $0.29 |
r7iz.metal-16xl | $0.68 |
i4i.metal | $0.68 |
x2iezn.8xlarge | $0.39 |
i3.large | $0.12 |
r7a.24xlarge | $0.68 |
Vendor refund policy
No refunds. Cancel anytime.
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
Latest Updates
Additional details
Usage instructions
Connection Methods:
To access your instance, SSH into the public IP address as 'ec2-user' using your specified launch key pair. You can switch to the root user environment by running sudo su -. Please see the links below for additional information:
Install Information
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Dev Python: Python 3.10.14 (Command: 'python3.10')
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System Python: Python 3.9.25 (Command: 'python3' - Preserved for system use)
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Package Manager: pip (Command: 'pip3.10' or 'python3.10 -m pip')
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Tools: Poetry (pre-installed), virtualenv
Usage Instructions
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Check Versions: Run 'python3.10 --version' to verify your dev environment and 'python3 --version' to confirm system Python status.
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Verify Tools: Check installed tools by running 'pip3.10 --version' and 'poetry --version'.
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Run 3.10 Script: Execute a script using the specific interpreter: 'python3.10 -c "print(1+1)"'
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Install Packages: Use 'pip3.10 install requests' or 'python3.10 -m pip install requests' to manage libraries for Python 3.10.
Firewall Configuration
- SSH (Port 22): Required for initial system access.
- Security Recommendation: For production environments, strictly limit SSH access to trusted IP addresses only via AWS Security Groups.
Support
Vendor support
Should you encounter any issues while using the system, please do not hesitate to contact us via email at: support@easyclouds.io ,Thank you!
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.
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