Sold by: pCloudHosting LLC
Deployed on AWS
AWS Free Tier
This product has charges associated with it for seller support. Open WebUI is a web-based interface that allows you to run and interact with large language models (LLMs) locally or on a server.
Overview
OpenWebUI for LLM 0.6.23 for LLM on Ubuntu 24.04 is provided with free maintenance support by PCloudhosting. This offering is a repackaged open-source solution, with optional paid support available for organisations that need reliable production assistance. It is fully optimised for deployment on the AWS Cloud Marketplace, allowing you to launch, manage, and scale self-hosted AI workloads with confidence.
If you're looking for an easy way to run powerful large language models (LLMs) privately on your own servers, without sending data to third parties or paying per token-, check this out. Hossted brings you OpenWebUI, a repackaged open-source gem with optional paid support for teams that need rock-solid production help. It's fully tuned and ready to launch straight from the AWS Cloud Marketplace.
OpenWebUI gives you a super clean, ChatGPT-like web interface right in your browser. You get to chat with AI models, switch between them on the fly, and keep everything 100% under your control-no external APIs, no data leaks. Everything stays inside your AWS setup.
It's pre-configured on Ubuntu 24.04 LTS and optimised for quick deployment on AWS, whether you spin up an AMI or go container-based. It runs Ollama under the hood so you can fire up popular open-source models like LLaMA, Mistral, Phi-3, DeepSeek, and more. CPU-only for light testing? No problem. Got GPUs on your EC2 instance? It'll fly for serious inference work.
What makes it awesome in one place:
- Pre-installed OpenWebUI on Ubuntu 24.04 LTS - ready out of the box
- Built specifically for AWS Cloud Marketplace - one-click launch and scaling
- Ollama support for LLaMA, Mistral, Phi-3, DeepSeek, and other compatible models
- Fully local execution, zero external dependencies or API calls
- Beautiful ChatGPT-style UI with full markdown and LaTeX rendering (excellent for tech docs, research, math.
- Runs smoothly on CPU-only or GPU-powered EC2 instances
- Plays nice with AWS IAM, VPC networking, security groups, and your existing compliance setup
Ready for real production use:
You can add enterprise-grade stuff like role-based access control (RBAC), multi-model pipelines, RAG (retrieval-augmented generation) for smarter answers with your own docs, and plugin support for custom features. With Hossted's optional support, you also get monitoring, auto-updates, security scans, and hands-on guidance to keep things running smoothly.
Quick highlights:
- Dead-simple browser interface -chat with AI as you would on ChatGPT
- Total data privacy and ownership -everything stays in your AWS environment
- Lightning-fast setup on AWS Marketplace - launch in minutes, scale as you grow
Highlights
- Easy-to-use browser UI for interacting with LLMs.
- Runs on both CPU-only and GPU-accelerated setups.
Details
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Ubuntu 24.04
Deployed on AWS
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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.
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 |
t2.2xlarge | $0.03 |
t2.medium | $0.03 |
t3.medium | $0.03 |
t3.nano | $0.03 |
r4.large | $0.03 |
r3.large | $0.03 |
t3.large | $0.03 |
Dimensions summary
You pay by the hour based on the EC2 instance type you run. This software includes maintenance support and runs on Ubuntu 24.04. The 21 dimensions map to compute sizes across several instance families. General-purpose t2 and t3 options range from nano and micro up to 2xlarge. The m3, m4, and m5 families cover larger general-purpose workloads. The c3, c4, and c5 families target compute-focused needs. The r3, r4, and r5 families suit memory-heavy tasks. Your cost scales with the size and family you select. You are billed only for hours used.
Top-of-mind questions for buyers
Each dimension maps to an AWS EC2 instance size. The instance family sets the resource balance: t2 and t3 for general use, m3/m4/m5 for balanced compute and memory, c3/c4/c5 for compute-focused work, and r3/r4/r5 for memory-heavy tasks. Your hourly rate matches the size you launch.
The software fee meters running hours only. A fully stopped instance does not accrue software charges. You may still pay underlying AWS storage fees for the attached volume while the instance is stopped, but that is separate from this software's hourly billing.
The listing runs on Ubuntu 24.04 and includes maintenance support from the vendor. Support covers updates and upgrades to the software. Charges apply per instance-hour with no upfront commitment, so you pay only for the hours each instance runs.
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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
Packaged with latest updates as of Sept/2025
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 su #sudo apt update #sudo docker rm open-webui #docker run -d --name open-webui -p 3000:8080 -e OLLAMA_BASE_URL=http://172.17.0.1:11434 -v open-webui:/app/backend/data ghcr.io/open-webui/open-webui:main #sudo systemctl restart ollama #docker restart open-webui
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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