Overview
Multi-LLM AI Server with Open WebUI & Ollama
Deploy a Powerful, Self-Hosted AI Platform on AWS
Transform your AI workflows with our pre-configured Multi-LLM Server, combining the flexibility of Ollama (with Deepseek pre-installed) and the intuitive Open WebUI interface. This AWS Marketplace offering provides a seamless, scalable solution for businesses and developers to run, customize, and manage multiple open-source language models (LLMs) in a secure, private cloud environment.
Key Features & Benefits
1. Effortless Deployment & Management
- 1-Click AWS Deployment: Launch a fully configured AI server with Open WebUI and Ollama in minutes, eliminating complex setup hassles .
- Pre-Installed Models: Includes Deepseek and supports additional Ollama-compatible LLMs (e.g., Llama 3, Mistral, Phi-3), enabling immediate experimentation and production use .
2. Open WebUI: A Feature-Rich Interface
- User-Friendly Chat Experience: Inspired by ChatGPT s UI, Open WebUI offers a responsive design for desktop and mobile, with Markdown/LaTeX support for technical users .
- Retrieval-Augmented Generation (RAG): Integrate documents (PDFs, Word, Excel) into chats using # commands, enabling context-aware AI responses .
- Multi-Model Conversations: Run multiple LLMs concurrently (e.g., Deepseek for coding, Mistral for creative tasks) and compare outputs in a single interface .
- Granular Access Control: Role-based permissions (RBAC) ensure secure collaboration, with admin controls for model deployment and user management .
3. Enterprise-Grade Customization
- Local & Remote RAG Pipelines: Enhance LLM accuracy by connecting to internal knowledge bases or web searches .
- Plugin Framework: Extend functionality with Python-based pipelines for toxic content filtering, rate limiting, or custom API integrations .
- Self-Hosted Privacy: Keep data on your AWS instances, avoiding third-party LLM providers privacy risks .
4. Cost-Effective & Flexible Licensing
- BYOL (Bring Your Own License): Ideal for users who want to scale models independently of AWS billing .
- Consolidated AWS Billing: Simplify budgeting with hourly/monthly pricing tied to your AWS account .
5. Use Cases
- Developers: Rapidly prototype AI applications with Ollama s local models and Open WebUI s API integrations.
- Enterprises: Deploy secure, internal AI chatbots with document retrieval for HR, IT, or customer support.
- Researchers: Compare LLM performance or fine-tune models using Open WebUI s model builder and RAG tools .
Why Choose This Solution?
- Open-Source Advantage: Avoid vendor lock-in with Open WebUI s modular design and Ollama s model ecosystem .
- AWS Optimized: Pre-validated AMI ensures compatibility with EC2, ECS, and other AWS services .
Technical Specifications
- Supported Models: Deepseek (default), Llama 3, Mistral, Phi-3, and other Ollama-compatible LLMs.
- Integration: OpenAI-compatible API endpoints for third-party tooling .
- Security: End-to-end encryption, RBAC, and AWS VPC isolation .
Get Started Today
Ideal for DevOps teams, AI researchers, and businesses seeking a private, customizable AI platform, this AWS Marketplace listing delivers the power of open-source LLMs with enterprise-grade manageability. Deploy now and unlock the future of self-hosted AI.
Highlights
- Intuitive Open WebUI Interface: Enjoy a ChatGPT-like experience with Markdown/LaTeX support, mobile responsiveness, and seamless multi-model chat management.
- Built-in RAG (Retrieval-Augmented Generation): Enhance AI responses by uploading PDFs, Word, or Excel files and querying them in chats using simple # commands.
- Multi-LLM Support (Deepseek + More): Run multiple models (e.g., Llama 3, Mistral, Phi-3) simultaneously and compare outputs in a unified interface.
Details
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Pricing
Free trial
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Dimension | Cost/hour |
---|---|
t3.xlarge Recommended | $0.03 |
r6in.32xlarge | $0.10 |
i3.xlarge | $0.03 |
m6idn.xlarge | $0.03 |
c6a.metal | $0.04 |
r5a.4xlarge | $0.05 |
m5ad.12xlarge | $0.08 |
g5.48xlarge | $0.10 |
r5n.12xlarge | $0.08 |
r6idn.16xlarge | $0.08 |
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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.
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Additional details
Usage instructions
- Instance Requirements:
- Use a powerful instance type (adequate CPU/RAM) to run LLMs smoothly.
- Initial Setup:
- First boot may take up to 10 mins - wait until port 8080 is active.
- Access Web UI:
- Open http://<instance-IP>:8080 in your browser.
- Enter an email address as a login, and choose a password
Note : To manage the instance, you can login through SSH using the "ubuntu" login.
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Need help? Contact our experts at support@epoksystems.com
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