This product has charges associated with it for support. Ollama is a cutting-edge AI tool that empowers users to set up and run large language models, such as Llama 2 and 3, directly on their local machines. This innovative solution caters to a wide range of users, from experienced AI professionals to enthusiasts, enabling them to explore natural language processing without depending on cloud-based services.
This is a repackaged software product wherein additional charges apply for support by Cloud Infrastructure Services. Ollama is a cutting-edge AI tool that empowers users to set up and run large language models, such as Llama 2 and 3, directly on their local machines. This innovative solution caters to a wide range of users, from experienced AI professionals to enthusiasts, enabling them to explore natural language processing without depending on cloud-based services.
Ollama Features
Local Execution: Ollama allows for the execution of large language models directly on your local machine, providing fast and efficient AI processing capabilities.
Support for Llama 3: Utilize the sophisticated Llama 2 & 3 models to perform a variety of natural language processing tasks.
Model Customization: Ollama offers the flexibility to modify and create custom models, making it suitable for specialized applications.
User-Friendly Interface: The tool is designed for ease of use, ensuring a quick and hassle-free setup process.
Enhanced Data Privacy: By processing data locally, Ollama ensures that your information remains secure and private.
Customization: Tailor models to meet your specific needs, enhancing the relevance and effectiveness of your AI solutions.
Independence from Internet Constraints: Operate large language models without the need for a continuous internet connection, allowing for uninterrupted AI experiences.
Resource Optimization: Local processing with Ollama optimizes your hardware usage, ensuring efficient AI operations.
Open WebUI Features
Docker Integration: Open WebUI runs on a local installation of Docker. Access via web browser.
OpenAI API Integration: Integrate OpenAI-compatible APIs for versatile conversations alongside Ollama models. Customize the OpenAI API URL to link with LMStudio, GroqCloud, Mistral, OpenRouter, and more.
Intuitive Interface: Chat interface takes inspiration from Chat GPT user interface, ensuring a user-friendly experience.
Model Builder: Easily create Ollama models via the Web UI. Create and add custom characters/agents, customize chat elements, and import models effortlessly through Open WebUI Community integration.
Web Search for RAG: Perform web searches using providers like SearXNG, Google PSE, Brave Search, serpstack, and serper, and inject the results directly into your local Retrieval Augmented Generation (RAG) experience.
Image Generation Integration: Seamlessly incorporate image generation capabilities using options such as AUTOMATIC1111 API or ComfyUI (local), and OpenAI's DALL-E (external), enriching your chat experience with dynamic visual content.
Disclaimer: Ollama is licensed under MIT license. No warrantee of any kind, express or implied, is included with this software. Use at your risk, responsibility for damages (if any) to anyone resulting from the use of this software rest entirely with the user. The author is not responsible for any damage that its use could cause.
Highlights
Ollama exposes a local API, allowing developers to seamlessly integrate LLMs into their applications and workflows. This API facilitates efficient communication between your application and the LLM, enabling you to send prompts, receive responses, and leverage the full potential of these powerful AI models.
This Ollama image provides a command-line interface for advanced users, it also comes with user-friendly graphical interface Open WebUI. This interface enhances the overall experience by providing intuitive chat-based interactions like ChatGPT, visual model selection, and parameter adjustment capabilities.
OpenAI API Integration: Integrate OpenAI-compatible APIs for versatile conversations alongside Ollama models. Customize the OpenAI API URL to link with LMStudio, GroqCloud, Mistral, OpenRouter, and more.
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 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.
You pay by the hour for the EC2 instance you choose to run this software. Pricing is usage-based, so you are billed only for the hours each instance runs. The many dimensions all represent different EC2 instance types and sizes, from small shared-core instances to large memory, compute, storage, and GPU-accelerated machines. The hourly rate rises as the instance adds more CPU, memory, or GPU capacity. Pick a smaller instance for light workloads, or a larger one to run bigger language models faster. You can change instance size later to adjust speed.
Top-of-mind questions for buyers
What do I get for the hourly rate on each instance type?
Each rate covers one running EC2 instance preloaded with Ollama and Open WebUI on Ubuntu 24.04. The specs differ by type: CPU count, memory, storage, and GPU vary across the options. Larger instances carry more capacity for running bigger language models. You pick one instance size at deployment.
Am I charged when the instance is stopped or powered off?
The hourly software rate meters running time only. A fully stopped instance does not accrue the per-hour software charge. Underlying AWS storage fees for the attached disk may still apply while the instance sits stopped. You are billed for the hours the instance actually runs.
Does my cost change automatically if I move to a larger instance?
No automatic change happens. You choose the instance type at deployment, and the hourly rate matches that choice. To move to a different size, you change the instance yourself. The new hourly rate then applies for the hours that instance runs. You can upgrade to improve model speed.
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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
New OS patches available. Simply run 'sudo apt update' to install the latest OS patches.
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.
This product has charges associated with it for seller support. This image comes with a prebuilt Ubuntu 26.04 AMI for private local LLM experimentation on EC2 with Ollama, Open WebUI, and a small preloaded validation model.
This is a repackaged open source software product wherein additional charges apply for a secure, ready-to-use Ollama 0.40.13 AI server with Open WebUI v0.12.5. Chat with open AI models privately in your browser, with a model ready to use, documents and chat history kept on your own instance and no shared default password.
Deploy Open WebUI instantly with a preconfigured AMI for self hosted AI chat, LLM interaction, and collaborative AI workflows. This platform provides a modern web interface for large language models with secure access, customizable deployment, and scalable infrastructure for teams and developers.
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