Ollama
Run Open-Source LLMs Locally With One Simple Command
by Ollama Inc. · Palo Alto, California, USA · Founded 2023
What is Ollama?
Ollama is an open-source platform that lets users run large language models on their own hardware with a single CLI command. It supports models like Llama, Gemma, Qwen, DeepSeek, and Mistral across macOS, Windows, and Linux.
Ollama also offers a cloud tier for accessing larger models on datacenter-grade GPUs when local resources fall short.
With an OpenAI-compatible REST API, native Python and JavaScript SDKs, and over 40,000 community integrations, it serves as the backbone for local-first AI development, RAG pipelines, and agentic coding workflows. Licensed under MIT, Ollama keeps all locally processed data entirely on-device.
Ollama — Run Open-Source LLMs Locally With One Simple Command Whether you're evaluating Ollama for your team or comparing it to alternatives in the AI Productivity Tools category, this in-depth review covers everything: features, pricing, real user reviews, pros and cons, integrations, and direct comparisons against competitors.
Ollama Demo Video
Key Features 8
Who Is Ollama For
Pros & Cons
- Complete Data Privacy Locally
- Massive Open-Source Ecosystem
- Zero-Config GPU Acceleration
- MIT Licensed And Free
- High VRAM For Large Models
- No Built-In Web UI
- Cloud Usage Limits Restrictive
Frequently Asked Questions
5 questionsOllama supports hundreds of open-weight models including Llama, Gemma, Qwen, DeepSeek, Mistral, Phi, and many more. The full library is available at ollama.com/library and models are downloaded with a single 'ollama pull' command.
Yes. Ollama automatically detects and uses NVIDIA CUDA GPUs on Windows and Linux, AMD ROCm GPUs on Linux, and Apple Metal on macOS. The new MLX backend further accelerates inference on Apple Silicon with speculative decoding support.
Ollama wraps llama.cpp with a user-friendly CLI, REST API, and model management layer, making deployment faster than raw llama.cpp. Unlike LM Studio which focuses on a GUI chat experience, Ollama is built for developer workflows, API serving, and integration with agentic tools.
Yes. The 'ollama launch' command natively integrates with Claude Code, OpenAI Codex, Copilot CLI, OpenCode, and other agentic coding tools. It can route requests through local or cloud models directly from your terminal.
A Modelfile is a configuration file that lets you customize model behavior by setting system prompts, temperature, context window size, stop tokens, and adapter layers. It functions similarly to a Dockerfile but for LLM configurations, enabling reproducible model setups.
Who is Ollama for?
Ollama is most useful for AI Application Developers, Privacy-Conscious Researchers, DevOps And MLOps Engineers and Agentic Coding Practitioners.
Ollama pricing
Ollama uses a freemium model: a usable free tier with optional paid upgrades. Headline pricing: From $20/mo. For the current tier breakdown and any limits, see the pricing section above or check the vendor's pricing page directly — limits and prices change.
What's New
OpenAI Codex App now available via ollama launch codex-app. Reworked MLX sampler for improved generation quality on Apple Silicon.
Added Gemma 4 Multi-token Processing speculative decoding for over 2x speed increase on Apple Silicon Macs for the 31B coding model.
Security & Privacy
US (primary), EU and Singapore for cloud capacityLearning & Support
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Ollama Pricing
From $20/mo
- Unlimited local model inference on your hardware
- Access to cloud models with light usage
- CLI, API, and desktop apps included
- 40,000+ community integrations
- Everything in Free included
- Access larger and more powerful cloud models
- Run 3 cloud models at a time
- 50x more cloud usage than Free
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