Overview
Anolis OS 23 is a next-generation enterprise Linux distribution optimized for modern cloud infrastructure and designed to meet the demands of AI, cloud-native, and large-scale enterprise workloads on AWS. Developed by the OpenAnolis community, Anolis OS 23 follows an independent innovation roadmap, delivering newer kernels, modern software stacks, and accelerated adoption of emerging technologies while maintaining enterprise-grade stability and security.
This AWS-optimized image includes cloud-init support, automatic filesystem expansion, enhanced networking performance, and hardened security configurations for production environments. Built with a modern Linux kernel and updated development toolchains, Anolis OS 23 enables organizations to deploy containerized applications, AI/ML platforms, microservices, and high-performance workloads with confidence.
Anolis OS 23 is ideal for organizations modernizing infrastructure, adopting cloud-native architectures, or deploying AI-driven applications. With commercial support from Gigabits, customers benefit from ongoing maintenance, security updates, and operational best practices to accelerate innovation while reducing operational complexity.
Key Features
Modern Cloud-Native Platform
Built specifically for cloud-era applications with support for containers, Kubernetes, microservices, and DevOps automation workflows.
AI and High-Performance Computing Ready
Provides native support for modern AI/ML ecosystems, updated toolchains, and optimized runtimes for training and inference workloads.
Security and Compliance
Includes security enhancements, regular vulnerability fixes, hardened configurations, and enterprise operational practices to strengthen security posture.
AWS Optimization
Preconfigured with cloud-init, enhanced networking, and automated storage management to simplify deployment and operations on AWS.
Commercial Support
Backed by Gigabits enterprise support services to assist customers with deployment, troubleshooting, lifecycle management, and ongoing maintenance.
Use Cases
AI and Machine Learning
Deploy AI training, inference, and data science workloads using a modern Linux platform optimized for emerging AI ecosystems.
Cloud-Native Applications
Run Kubernetes clusters, containers, APIs, and microservices on a secure, scalable enterprise Linux foundation.
High-Performance Computing
Support compute-intensive applications requiring optimized kernels, modern compilers, and advanced performance tuning capabilities.
DevOps and CI/CD
Standardize development and deployment pipelines with a modern enterprise Linux environment supporting automation and continuous delivery.
Infrastructure Modernization
Modernize legacy Linux environments with a next-generation operating system designed for cloud-first architectures and evolving business requirements.
Value Proposition for AWS Co-Sell
Gigabits delivers enterprise-ready Anolis OS 23 environments optimized for AWS, enabling organizations to accelerate cloud-native, AI, and modern application deployments on a secure and scalable Linux platform. With commercial support, hardened configurations, and AWS-optimized performance, customers can innovate faster while reducing operational complexity and infrastructure risk.
Highlights
- Next-generation enterprise Linux optimized for AWS
- Optimized for AI, machine learning, and cloud-native workloads
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 |
|---|---|
t2.micro Recommended | $0.20 |
t3.micro | $0.06 |
c5n.9xlarge | $2.23 |
r6a.8xlarge | $2.23 |
g3s.xlarge | $0.27 |
r3.4xlarge | $1.11 |
m4.xlarge | $0.27 |
m7i-flex.xlarge | $0.27 |
r5d.4xlarge | $1.11 |
m5.12xlarge | $3.35 |
Vendor refund policy
No refunds. Cancel any time
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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
release 1
Additional details
Usage instructions
Once the instance is running, connect to it using a Secure Shell (SSH) client with the configured SSH key. The default username is 'anolis'.
OS commands via SSH: SSH as user 'anolis' to the running instance and use sudo to run commands requiring root access.
Support
Vendor support
Please reach out to support@gigabitscloud.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.