Sold by: Websoft9
Deployed on AWS
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This product has charges associated with it for Websoft9 support. Pre-configured, web-based, cloud-native, secure, one-click to deploy Open WebUI with Websoft9 Applications Hosting Platform on AWS. Open WebUI is an extensible, feature-rich, and user-friendly self-hosted AI platform designed to operate entirely offline.
Overview
This is a cloud-native Open WebUI on the Websoft9 Applications Hosting Platform. It is always up-to-date, secure, and ready to use right out of the box with business support from Websoft9.
Open WebUI is An extensible, self-hosted AI interface, used for AI Models Unified Interface AI Agents/Chatbots/RAG AI Writing and Creative Content Generation. It supports various LLM runners like Ollama and OpenAI-compatible APIs, with built-in inference engine for RAG, making it a powerful AI deployment solution.
Websoft9 is a lightweight, self-hosting PaaS that allows you to deploy multiple applications on your own cloud infrastructure. It employs a GitOps approach and includes an integrated app store that supports one-click deployment of over 300 template applications, as well as the ability to deploy custom applications. Users have complete autonomy, ensuring that applications can be easily configured and continuously deployed even after they are live. Additionally, the web-based interface allows users to effortlessly perform tasks such as domain binding, HTTPS setup, access control, and status monitoring.
Included Components
Open WebUI, Docker, Websoft9 Platform
Trademark Statement
Open WebUI All trademarks, logos and service marks ("Marks") are property of Open WebUI, Inc., which is not affiliated with, and does not endorse, this product.
Use Cases
self-hosted AI platform designed to operate entirely offline
Ready-to-use related applications
This product enables users to deploy additional applications related to Open WebUI with a one-click, including AnythingLLM, TensorFlow, Milvus and others you may need.
EC2 requirements CPU no less than 4 core, Memory no less than 8G.
Highlights
- Docker-based, easy to deploy and upgrade
- One-click deployment of over 300 template applications from the console
- Control panel for installing and managing multiple applications on a single instance
Details
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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
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
Free trial
Try this product free for 5 days according to the free trial terms set by the vendor. Usage-based pricing is in effect for usage beyond the free trial terms. Your free trial gets automatically converted to a paid subscription when the trial ends, but may be canceled any time before that.
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.medium Recommended | $0.055 |
t2.micro | $0.039 |
t3.micro | $0.055 |
c4.2xlarge | $0.11 |
t3.small | $0.055 |
z1d.6xlarge | $0.19 |
x1e.8xlarge | $0.22 |
c5d.2xlarge | $0.11 |
c5.2xlarge | $0.11 |
g3.8xlarge | $0.22 |
Dimensions summary
You pay by the hour for the EC2 instance type you choose to run this self-hosted AI platform. Each dimension maps to a specific AWS instance size, so pricing scales with the compute, memory, storage, or GPU resources you select. Smaller shared-CPU instances like t2 and t3 suit light workloads. Compute-optimized (c4, c5), memory-optimized (r4, r5, x1e), storage (d2, i3), and GPU (p2, p3, g3) families cover heavier needs. You are billed only while an instance runs. Choose a larger instance for more capacity or a smaller one to reduce hourly cost.
Top-of-mind questions for buyers
Hourly software charges apply only while the instance runs. A stopped instance stops accruing hourly software fees. You may still pay underlying AWS storage costs for attached volumes, since data is retained. Restarting the instance resumes hourly billing for the size you selected.
Each hourly unit reflects one running EC2 instance of the chosen type. GPU families like p2, p3, and g3 include graphics processing hardware for model inference. You select the cuda version at install time to use GPU acceleration. You pay for each hour that instance runs.
You are not locked to one instance. If you deploy a new instance from a different family or size, billing follows that instance's hourly rate while it runs. There is no automatic tier upgrade. You choose the instance manually, and hourly cost changes to match the new selection.
support.websoft9.com
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Vendor refund policy
Annual Subscriptions: Refunds are allowed if you are canceling a subscription to purchase a new subscription from Websoft9 at the same or higher rate. Hourly Subscriptions: We do not currently support refunds, but you can cancel at any time.
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
Open WebUI, Docker, Websoft9 v2.3.4
Additional details
Usage instructions
Use local web browser to access https://<EC2_Instance_Public_IP>:9000, you will then see the setup wizard by Websoft9 Console.
Notes
- You do not need to SSH into EC2 at all steps, easy to operate.
- Make sure the EC2 security group permits ports 80, 443, 9000 and 9001
Resources
Vendor resources
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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