Ollama

Ollama is an open-source, MIT-licensed tool for running LLMs on your own hardware via a local REST API and CLI; local use is free and unlimited, with an optional paid Ollama Cloud for larger models.

AI Platforms & Generative AIOpen sourceSelf-hosted
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Published Updated

CategoryAI Platforms & Generative AI
AccessSelf-hosted
PricingOpen source
APIAvailable
Overview

What is Ollama?

Ollama is an open-source, MIT-licensed tool, first released in July 2023, for downloading and running open-weight large language models locally via a command-line interface and a local REST API. Running models on your own hardware is free and unlimited; Ollama Cloud, launched later, adds hosted inference on larger models through paid Free/Pro/Max/Team tiers with monthly usage credits, for cases where local hardware isn't enough.

Read the full overview

Sources checked 27 September 2026: Ollama, GitHub repository, documentation, Ollama Cloud pricing.

Why teams use it

Key capabilities

  • Local runtime (free): CLI and local REST API for running open-weight models on your own hardware.
  • Model library: pull-based access to community and vendor-published open-weight models.
  • Ollama Cloud (optional, paid): hosted inference on larger models, Free/Pro ($20/mo)/Max ($100/mo)/Team ($500/mo) tiers.
  • Client libraries: official Python and JavaScript SDKs built on the REST API.
Core areas

Check hardware requirements (RAM/VRAM) against the specific model sizes you need, since local performance depends entirely on your own machine. If using Ollama Cloud, track token usage against included monthly credits to avoid overage costs.

Positioning

Ollama fits teams and individuals who want to run LLMs on their own machines or servers for cost, privacy or offline reasons, using its local REST API to integrate models into applications. Ollama Cloud is a separate, optional paid service for accessing larger models than local hardware can run; it is not required to use Ollama's core local functionality.

Why it matters

Ollama removes most setup friction for running open-weight models locally, but model quality and speed still depend on the model chosen and your hardware, not on Ollama itself. Licensing and pricing details are drawn from the Ollama GitHub repository and Ollama pricing page, checked 27 September 2026.

Deployment & technical details

Technical details

Access
Self-hosted
Source model
Open source
Founded
2023
Headquarters
California, USA
Pricing model
Open source
API
Available
Check with the publisher

Official resources

Before you shortlist

What to verify for your environment

Start from the users, systems and operating responsibilities the tool needs to support.

  • Confirm current features, licensing and support terms with the publisher.
  • Validate deployment, data location, access control, backup and recovery requirements.
  • Test integrations, export paths and a representative operational workflow before committing.
Community experience

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