Ollama
Run large language models locally with a single command
Ollama is a lightweight framework for running large language models locally on your own hardware. With 162K+ GitHub stars, it's become the go-to solution for developers who want to run LLMs like Llama, Mistral, Gemma, and DeepSeek without cloud dependencies. Download a model with one command, and start chatting instantly. No API keys, no usage limits, no data leaving your machine.
Why Ollama?
Cloud AI APIs are expensive, have usage limits, and require sending your data to third parties. Every API call costs money, and your conversations are stored on someone else's servers. For developers building AI applications, this creates privacy concerns, unpredictable costs, and vendor lock-in. You shouldn't need a credit card or internet connection to experiment with AI.
How It Works
Ollama makes running LLMs as simple as running any other local application. One command downloads and runs a model. Another command exposes a REST API for your applications. The same API works across Llama, Mistral, Gemma, and dozens of other models—switch models without changing code. Models run entirely on your hardware, so your data never leaves your machine.
What Is Ollama?
Ollama is an open-source tool for running large language models locally. It provides a simple CLI and REST API to download, run, and manage LLMs on macOS, Windows, Linux, and Docker. Deploy it on Dublyo to give your team a shared, private AI inference server.
Key Benefits
Why teams choose Ollama
Run Models Locally
Execute Llama, Mistral, Gemma, and 100+ other models on your own hardware. No cloud required.
One Command Setup
Install and run any model with a single command. No complex configuration or dependencies.
Full Privacy
Your prompts and responses never leave your machine. Complete data sovereignty.
REST API
OpenAI-compatible API makes it easy to integrate with existing tools and applications.
Model Customization
Create custom models with Modelfiles. Adjust parameters, system prompts, and behavior.
No Usage Limits
Run as many queries as your hardware can handle. No tokens to count, no bills to pay.
Features
Everything you need to build with Ollama
Multi-Model Support
Run Llama 3, Mistral, Gemma, DeepSeek, Phi, and dozens more models.
OpenAI-Compatible API
Drop-in replacement for OpenAI API. Works with existing tools and libraries.
Model Library
Browse and download models from the Ollama library with one command.
GPU Acceleration
Automatic GPU detection and acceleration for faster inference.
Modelfiles
Define custom models with specific parameters, prompts, and adapters.
Vision Models
Support for multimodal models like LLaVA for image understanding.
Use Cases
What you can build with Ollama
Technology Stack
Ready to deploy Ollama?
Get started in minutes. Deploy on your own infrastructure at actual cloud cost. No markup, no vendor lock-in.