Sold by: CGM Computer
Deployed on AWS
AWS Free Tier
CGM Computer delivers AI native software engineering, dedicated development teams, and full cycle product development for organizations building, modernizing, and scaling digital products.
Overview
CGM Computer helps organizations turn complex technology requirements into production ready software. We provide AI native software engineering, dedicated development teams, and full cycle product development spanning web, mobile, AI/ML, cloud infrastructure, DevOps, and enterprise systems.
Our teams work alongside customers from discovery and architecture through development, deployment, and ongoing support. We assemble engineers around the specific technology stack, domain expertise, and delivery requirements of each project, allowing organizations to extend their capabilities without compromising engineering quality or ownership.
CGM Computer combines experienced engineering talent with AI-integrated development workflows to support modern software delivery. Our capabilities include custom web and mobile applications, AI and machine learning solutions, cloud and DevOps engineering, API and systems integration, enterprise software, and quality assurance.
Our delivery model is designed for clarity and speed: understand the requirements, assemble the right team, develop through structured agile sprints, and move into production with documentation and ongoing support. Customers retain full ownership of their code and intellectual property.
Whether you are launching a new product, extending an existing engineering organization, introducing AI capabilities, or modernizing a critical application, CGM Computer provides the engineering capacity and technical expertise to move from concept to production with confidence.
Highlights
- AI Native Engineering, Built Around Your Product Combine experienced software engineers with AI integrated development workflows to build web, mobile, AI/ML, and enterprise applications with greater development velocity and technical depth.
- Dedicated Teams Without the Long Ramp Up Get a purpose built engineering team matched to your technology stack and domain requirements. Teams can integrate directly with your organization and begin working within weeks.
- From Discovery to Production CGM Computer supports the complete product lifecycle from architecture and development to cloud infrastructure, DevOps, QA, deployment, and ongoing support with full IP ownership retained by the customer.
Details
Sold by
Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Ubuntu 24.04 LTS
Deployed on AWS
New
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
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. 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 |
|---|---|
t2.micro Recommended | $0.06 |
c3.large | $0.03 |
m1.medium | $0.05 |
Vendor refund policy
Refunds are currently not available. Requests will be reviewed on a case by case basis. Eligible refunds are processed in accordance with AWS policies.
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
First release of CGM Computer | AI-Native Software Engineering & Cloud Development
Additional details
Usage instructions
To begin using this image, connect via SSH. Until you connect SSH into the instance and validate your credentials, you will not be able to access the Software. To connect to the operating system, use SSH and the username buntu. For instructions on using SSH to connect to your instance, see the AWS EC2 documentation: http://docs.aws.amazon.com/AWSEC2/latest/UserGuide/AccessingInstancesLinux.html2 Please note, this image may take upto 10 minutes to instantiate.
Support
Vendor support
For comprehensive assistance and guidance, our dedicated support team is available at https://cgmcomputer.org/ We are committed to providing prompt and effective solutions to address all your queries and ensure a smooth experience with our services.
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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