Sold by: IOanyT Innovations, Inc.
Deployed on AWS
This product has charges associated with it for pre-installed CIS Level 1 hardened Ubuntu 22.04 GPU AMI for secure AI and machine learning workloads on AWS.
Overview
IOanyT SecureAI - CIS Level 1 Hardened GPU AMI (Ubuntu 22.04)
Deploy GPU-accelerated AI and machine learning workloads on a security-hardened foundation. IOanyT SecureAI provides a pre-hardened Ubuntu 22.04 AMI that meets CIS Level 1 benchmarks, giving your team a compliance-ready environment for GPU computing without the overhead of manual hardening.
Who Is This For?
This AMI is designed for organizations running AI, deep learning, and GPU-intensive workloads that require a security-hardened operating system. It is ideal for teams that need to meet CIS compliance standards while leveraging GPU instances on AWS.
Key Benefits
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CIS Level 1 Compliance Out of the Box - Launch instances that already meet CIS Level 1 benchmarks for Ubuntu 22.04, reducing the time and effort required to pass security audits.
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GPU-Ready for AI and ML - Pre-configured to support GPU-accelerated workloads including deep learning training, inference, and data processing on AWS GPU instance types.
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Reduced Hardening Overhead - Eliminate weeks of manual configuration and testing. Deploy a hardened AMI that has been validated against CIS benchmarks so your team can focus on building applications.
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Ubuntu 22.04 LTS Foundation - Built on a long-term support release for stability and extended security updates, ensuring a reliable base for production workloads.
AWS Integration
This AMI is designed to run on AWS EC2 GPU instance types. Launch directly from AWS Marketplace and integrate with your existing AWS infrastructure including VPCs, security groups, IAM roles, and CloudWatch monitoring.
Use Cases
- Secure AI model training and inference
- Compliance-sensitive machine learning pipelines
- GPU-accelerated data science environments
- Research computing with security requirements
About IOanyT Innovations
IOanyT Innovations delivers security-focused cloud solutions that help organizations run workloads with confidence on AWS.
Highlights
- CIS Level 1 Hardened for Compliance - This Ubuntu 22.04 AMI is pre-hardened to meet CIS Level 1 benchmarks, enabling organizations to launch GPU instances that satisfy security compliance requirements without manual configuration. Reduce audit preparation time and deploy with confidence that your operating system meets recognized security standards.
- GPU-Optimized for AI and Machine Learning Workloads - Designed to run on AWS EC2 GPU instance types, this AMI provides a secure foundation for deep learning training, model inference, and GPU-accelerated data processing. Teams can focus on building AI applications rather than spending time on OS-level security hardening.
- Built on Ubuntu 22.04 LTS for Long-Term Stability - The AMI uses Ubuntu 22.04 Long Term Support as its base, providing extended security patches and a stable platform for production workloads. This ensures your GPU computing environment remains supported and secure over time.
Details
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Ubuntu 22.04
Deployed on AWS
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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.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Cost/hour |
|---|---|
g4dn.xlarge Recommended | $0.10 |
g5.16xlarge | $0.10 |
g5.12xlarge | $0.10 |
g4dn.8xlarge | $0.10 |
g4dn.4xlarge | $0.10 |
g6.xlarge | $0.10 |
g5.xlarge | $0.10 |
g4dn.2xlarge | $0.10 |
g4dn.16xlarge | $0.10 |
g6.4xlarge | $0.10 |
Dimensions summary
You pay by the hour for the software, based on which GPU EC2 instance you run it on. The 15 dimensions map to specific instance types across three families: g4dn, g5, and g6. Within each family, larger sizes carry more vCPU, memory, and GPU capacity, so the hourly software rate scales with instance size. You pick the instance that fits your workload. These software charges are billed on top of standard EC2 GPU infrastructure costs. There are no tiers or feature differences between instances — every option runs the same hardened AI image.
Top-of-mind questions for buyers
The software fee meters running instance-hours. A fully stopped instance does not accrue software charges. You may still pay AWS storage fees for the attached volume while the instance is stopped. Charges resume when you start the instance again.
The hourly software rate covers the CIS Level 1 hardened Ubuntu 22.04 AMI with its pre-installed AI stack: GPU driver, an OpenAI-compatible inference API, a vector database, and TLS reverse proxy. You pay this on top of standard EC2 GPU instance costs, which AWS bills separately.
Every instance runs the same hardened image, so the choice depends on GPU, vCPU, and memory needs. Larger sizes within the g4dn, g5, and g6 families give more capacity for bigger models or higher request volume. The vendor lists g4dn.xlarge and g4dn.2xlarge as recommended starting points.
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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
Initial release of IOanyT SecureAI CIS Level 1 Hardened GPU AMI on Ubuntu 22.04. Includes pre-configured CIS Level 1 benchmark controls for GPU-accelerated AI and machine learning workloads on AWS EC2 GPU instance types.
Additional details
Usage instructions
IOanyT Innovations SecureAI - Usage Instructions
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LAUNCH Launch on a GPU instance. Recommended: g4dn.xlarge (NVIDIA T4). On first launch, allow up to 10 minutes for the AI stack to initialize and the model to load. Subsequent restarts are fast.
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NETWORK ACCESS In the Security Group, allow inbound TCP 443 (HTTPS API) from your trusted IP ranges only. Allow TCP 22 (SSH) only if shell access is needed.
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RETRIEVE PER-INSTANCE API KEYS Each instance generates unique keys on first boot. SSH in (user: ubuntu) and run: sudo cat /opt/ioanyt/.env This contains VLLM_API_KEY (inference) and QDRANT_API_KEY (vector database).
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LLM INFERENCE (OpenAI-compatible) curl -k https://<host>/v1/chat/completions
-H "Authorization: Bearer <VLLM_API_KEY>"
-H "Content-Type: application/json"
-d '{"model":"Qwen/Qwen2.5-3B-Instruct","messages":[{"role":"user","content":"Hello"}]}'List models: curl -k https://<host>/v1/models -H "Authorization: Bearer <VLLM_API_KEY>"
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RAG VECTOR DATABASE (Qdrant) curl -k https://<host>/qdrant/collections -H "api-key: <QDRANT_API_KEY>"
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TLS The image ships a per-instance self-signed certificate (use -k for testing). For production, replace it at /opt/ioanyt/tls/ with your own domain certificate, then run: sudo systemctl restart ioanyt-genai
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MANAGE THE STACK sudo docker compose -f /opt/ioanyt/docker-compose.yml ps sudo systemctl restart ioanyt-genai
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CHANGE THE MODEL Edit the --model value in /opt/ioanyt/docker-compose.yml and restart. Larger or quantized models require a higher-memory GPU instance (g5, g6).
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COMPLIANCE EVIDENCE CIS conformance summary, hardening exceptions, component versions, and SBOM are located under /opt/ioanyt/evidence/.
Full documentation: https://ioanyt.com/aws-marketplace/secureai/deploy
Resources
Vendor resources
Support
Vendor support
Support for IOanyT SecureAI - CIS L1 Hardened GPU AMI
For questions, issues, or assistance with this product, contact the IOanyT Innovations support team via email at aws-marketplace-support@ioanyt.com .
The support team can help with deployment guidance, configuration questions, and troubleshooting related to the CIS Level 1 hardened GPU AMI.
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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