Sold by: ThinkCloud
Deployed on AWS
AWS Free Tier
A comprehensive, ChatGPT-style web interface for local LLMs via Ollama, pre-configured on a secured CentOS 9 environment with enterprise support by ThinkCloud.
Overview
Open WebUI-Ollama on CentOS 9 is a professional-grade Amazon Machine Image (AMI) designed to provide a seamless, private, and powerful interface for interacting with Large Language Models (LLMs). This solution combines the versatile Open WebUI (formerly Ollama WebUI) with the Ollama backend, allowing you to run models like Llama 3, Mistral, and Gemma entirely on your own AWS infrastructure.
Maintained and optimized by ThinkCloud, this AMI is built on a hardened CentOS 9 foundation. We have pre-configured the environment to support both CPU and GPU acceleration (where applicable), ensuring low-latency responses and high-performance inference. By self-hosting this stack, you eliminate third-party data privacy risks and maintain 100% control over your AI interactions and sensitive prompts.
Open WebUI provides a feature-rich experience including Markdown support, RAG (Retrieval-Augmented Generation) integration, multi-user management, and model orchestration. With ThinkCloud's enterprise support, you can deploy a "private ChatGPT" alternative that is secure, scalable, and fully integrated with your AWS environment.
Highlights
- Private and Secure AI Workspace Keep your prompts and data within your own VPC. By hosting Open WebUI on a secured CentOS 9 instance, you ensure total privacy for your enterprise AI operations.
- Seamless Model Management Easily pull, run, and update the latest open-source LLMs using the integrated Ollama backend, all through a user-friendly web interface without complex CLI commands.
- Enterprise Support by ThinkCloud Benefit from professional guidance on GPU instance selection, model optimization, and security hardening to ensure your AI environment is robust and reliable.
Details
Sold by
Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
CentOs 9
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.
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.large Recommended | $0.10 |
t3.micro | $0.10 |
t3a.medium | $0.10 |
t3a.nano | $0.10 |
t3.nano | $0.10 |
t3.medium | $0.10 |
t3a.large | $0.10 |
t3a.micro | $0.10 |
t3.small | $0.10 |
t3a.small | $0.10 |
Vendor refund policy
no refunds
Legal
Vendor terms and conditions
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Content disclaimer
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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
Updated to the latest
Additional details
Usage instructions
SSH to the instance and login as 'ec2-user' using the key specified at launch. Additional information may be found at : https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/AccessingInstancesLinux.html After entering the system, please check the Readme file under the /root path, which contains detailed configuration information
Support
Vendor support
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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