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Open WebUI with Ollama with Deepseek by default (by Epok Systems)

This is a repackaged software product wherein additional charges apply for seller maintenance. Deploy a powerful, self-hosted AI server supporting multiple LLMs (including Deepseek) via Open WebUI and Ollama. Streamline AI inference, customization, and local model management in a scalable AWS environment.

Purchase this listing from Webvar in AWS Marketplace using your AWS account. In AWS Marketplace, you can quickly launch pre-configured software with just a few clicks. AWS handles billing and payments, and charges on your AWS bill.

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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.

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