Sold by: pCloudHosting LLC
Deployed on AWS
AWS Free Tier
This product has charges associated with it for seller support. OpenWebUI is a powerful self-hosted web interface for Large Language Models (LLMs) that enables users to interact with AI models through an intuitive, modern, and customizable chat platform. It supports local and cloud-based AI models, including Ollama, OpenAI-compatible APIs, and various open-source LLMs.
Overview
OpenWebUI for Large Language Models (LLMs)
OpenWebUI is a feature-rich, open-source AI platform designed to provide a seamless interface for interacting with Large Language Models (LLMs). Whether you are running models locally through Ollama or connecting to cloud-based AI providers, OpenWebUI offers a user-friendly environment for managing conversations, workflows, and AI-powered productivity.
Built with flexibility and scalability in mind, OpenWebUI supports multiple AI backends, advanced chat management, user authentication, document integration, and customizable settings. It is ideal for developers, businesses, researchers, and AI enthusiasts looking for a private and secure way to deploy and manage AI assistants.
Key Features
- Compatible with Ollama, OpenAI-compatible APIs, and multiple LLM providers.
- Modern web-based interface with responsive design.
- Multi-user access and role-based permissions.
- Conversation history and chat organization tools.
- Document and knowledge base integration for AI-assisted workflows.
- Self-hosted deployment for enhanced privacy and control.
- Docker-based installation for quick and easy setup.
- Support for popular open-source models including Llama, Mistral, Gemma, Qwen, and more.
OpenWebUI provides organizations and individuals with a secure, customizable, and scalable platform for leveraging the power of modern AI models while maintaining full ownership of their infrastructure and data.
Highlights
- Self-hosted AI platform with support for local and cloud-based LLMs.
- Modern web interface featuring multi-user access, chat management, and AI workflow integration.
Details
Sold by
Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Ubuntu 26.04
Deployed on AWS
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Features and programs
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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 |
|---|---|
m4.large Recommended | $0.03 |
t3.micro | $0.03 |
t2.micro | $0.01 |
t3.small | $0.03 |
m3.medium | $0.03 |
c3.large | $0.03 |
c5.large | $0.03 |
c4.large | $0.03 |
r5.large | $0.03 |
m3.large | $0.03 |
Vendor refund policy
No Refund
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
Packaged with latest updates as of June/2026
Additional details
Usage instructions
Connect your instance via SSH, the username is ubuntu. More info on SSH: https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/AccessingInstancesLinux.html - Run the following commands: #sudo docker ps
If container empty then run:
#sudo docker run -d
-p 3000:8080
--add-host=host.docker.internal:host-gateway
-v open-webui:/app/backend/data
--name open-webui
--restart always
ghcr.io/open-webui/open-webui:main
#To access OpenWebUI for LMM: http://Your Server_IP:3000
Support
Vendor support
Feel free to reach out anytime. Our support team is available 24x7 for assistance. Email: anant.shahi@pcloudhostings.com Website:
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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