Overview
This is a repackaged open source software product wherein additional charges apply for CoreNova hardening, maintenance, validation notes, and seller support.
Ubuntu 22.04 LTS Hardened GPU AMI CUDA Ready is a hardened Ubuntu GPU AMI for EC2 machine learning, CUDA development, and GPU compute workloads. It is designed for buyers who want a ready CUDA host baseline without manually installing NVIDIA drivers, CUDA tooling, and operating-system hardening on every instance.
Included baseline
- Ubuntu 22.04 LTS with NVIDIA GPU driver and CUDA tooling.
- SSH key-only access with root login disabled.
- UFW firewall baseline, auditd, AIDE, rsyslog, and automatic security updates where supported.
- GPU readiness checks such as nvidia-smi and CUDA compiler validation.
- CIS-oriented OpenSCAP notes for buyer-side validation; not official CIS certification.
Best for
- GPU development hosts on G4dn, G5, and P-family EC2 instances.
- ML experiment environments that need CUDA-ready launch behavior.
- Teams that want a hardened Ubuntu base before installing ML frameworks.
Security and operations
The image does not include customer data, private keys, or model weights. Buyers should restrict SSH to trusted administrator networks, review GPU and storage costs before launch, and apply their own workload-level access controls.
Related CoreNova listings
- Open WebUI + Ollama + vLLM Private AI Sandbox AMI: https://aws.amazon.com/marketplace/pp/prodview-os7kg3e24oqpw
- Ubuntu 22.04 LTS Hardened AMI: https://aws.amazon.com/marketplace/pp/prodview-u66ma5qrdkvtw
- Ubuntu 22.04 LTS Hardened for AWS Graviton (ARM64, LVM, XFS): https://aws.amazon.com/marketplace/pp/prodview-k23rkmv5ifmjg
- Full CoreNova catalog: https://aws.amazon.com/marketplace/seller-profile?id=seller-kbf3ztbtbdc5o
Support
Email: support@corenovacloud.com Web: https://www.corenovacloud.com/
Include AWS Region, AMI ID, EC2 Instance ID, GPU instance type, NVIDIA/CUDA command output, and steps to reproduce when opening a support request.
Highlights
- Ubuntu GPU AMI with NVIDIA driver and CUDA tooling ready for EC2 GPU workloads.
- Includes SSH lockdown, firewall baseline, auditd, AIDE, and automatic security updates where supported.
- Suitable for ML development, GPU compute, and CUDA validation on supported GPU instances.
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 |
|---|---|
g4dn.xlarge Recommended | $0.05 |
g5.16xlarge | $0.05 |
p3.2xlarge | $0.05 |
p5.4xlarge | $0.05 |
g4dn.4xlarge | $0.05 |
g6f.4xlarge | $0.05 |
g5.xlarge | $0.05 |
g6.xlarge | $0.05 |
g5.12xlarge | $0.05 |
g6f.large | $0.05 |
Vendor refund policy
30-day refund on AWS Marketplace software fees for this product. Email support@corenovacloud.com with your AWS account ID and purchase date. Software fees only; EC2 charges are not refundable by the seller. We reply within 5 business days. Free trial: no software charges during the trial.
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
GPU Base CUDA Ubuntu 22.04 LTS on Ubuntu 22.04 LTS (x86_64, HVM).
Version: v20260605
Stack:
- SSH hardening: key-only access, root login disabled (user: ubuntu)
- Firewall baseline (UFW)
- auditd, rsyslog, chrony enabled
- NVIDIA CUDA drivers pre-installed (verified with nvidia-smi)
- GPU compute ready: CUDA 12.x, cuDNN, NCCL
- Automatic security updates via unattended-upgrades
Compliance: CIS Benchmark guidance with OpenSCAP profile for transparency. Organizations should run their own validation to meet specific regulatory requirements.
Part of the CoreNova Hardened AMI product family.
AMI: ami-0c763a8ced52aa14f (us-east-1)
Additional details
Usage instructions
Overview
GPU Base CUDA Ubuntu 22.04 LTS - security-hardened GPU compute AMI for Ubuntu 22.04 LTS (x86_64). Recommended instance type: g5.xlarge (GPU instances with NVIDIA drivers pre-installed).
Launch checklist
Step 1 - Subscribe in AWS Marketplace, then Launch in us-east-1.
Step 2 - Instance type: g5.xlarge, p3.2xlarge, g4dn.xlarge, or other NVIDIA GPU instance.
Step 3 - Key pair: select your EC2 SSH key. Password login is disabled.
Step 4 - Security group: allow inbound TCP 22 from your administrator IP only.
First connection
ssh -i your-key.pem ubuntu@YOUR_PUBLIC_IP
Post-launch verify
nvidia-smi Expected: shows NVIDIA driver version and GPU(s). systemctl is-active auditd chrony rsyslog sudo systemctl is-active ufw
Support
Email: support@corenovacloud.com Web: https://www.corenovacloud.com/ Refund: 30-day refund on Marketplace software fees. EC2 charges not refundable by seller.
Include AWS Region, AMI ID, EC2 Instance ID, instance type, and steps to reproduce.
Resources
Vendor resources
Support
Vendor support
Email: support@corenovacloud.com
Web: https://www.corenovacloud.com/
CoreNova supports launch, SSH access, baseline service checks, Marketplace AMI metadata, and documented hardening behavior. Include AWS Region, AMI ID, EC2 Instance ID, instance type, and steps to reproduce.
Refund: 30-day refund on Marketplace software fees for verified technical issues. AWS infrastructure charges are billed by AWS and are not refundable by the seller.
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.