Ollama

The easiest way to run large language models locally

5.0•24 reviews•

1.1K followers

The easiest way to run large language models locally

5.0•24 reviews•

1.1K followers

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AI Infrastructure Tools

•

LLM Developer Tools

Run Llama 2 and other models on macOS, with Windows and Linux coming soon. Customize and create your own.

Have a question about Ollama? Ask it here and get a real answer.

Ollama Launches

Ollama Desktop App The easiest way to chat with local AI

Launched on August 1st, 2025

Ollama v0.7 Run leading vision models locally with the new engine

Launched on May 19th, 2025

Do you use Ollama?

Forum Threads

p/ollama

•

6mo ago

Ollama Turbo now in preview

Introduced with the release of Ollama's support for @GPT OSS, is Turbo; Ollama's privacy-first datacenter-grade cloud inference service.

Whilst it's currently in preview, the service costs $20/m, and has both hourly and daily limits. Usage-based pricing will be available soon. So far, the service only has gpt-oss-12b and gpt-oss-120b models, and works with Ollama's App, CLI, and API.

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5.0

Based on 24 reviews

Review Ollama?

Makers consistently praise Ollama for fast local iteration, privacy, and control. The makers of

Sequoia

liken it to an in-house AI lab with zero latency and no GPU bills. The makers of

Portia AI

call it a universal connector for local models in their SDK, while the makers of

Znote

highlight secure, offline use. Users echo the simplicity—easy setup, Docker-like workflows, quick prototyping, solid performance, and cost savings. Some note best results with mid-size models and smooth integrations via APIs.

+21

Summarized with AI

Pros

local AI model deployment (10)

easy to use (5)

no third-party API reliance (3)

AI server hosting (2)

data privacy (2)

Pros

Cons

Reviews

All Reviews

Most Informative

•2 reviews

What's great

easy to use (5)local AI model deployment (10)no third-party API reliance (3)

Super easy to use tool to launch self hosted llm, even for other AI tools.

What needs improvement

Image generation is still not available at this time.

vs Alternatives

No idea about alternatives, and sincerely I don't feel I need one

How smooth is installation on macOS, including Apple Silicon?

just a bash file

How easy is switching between different pre-built models?

Just a bash command, super easy. Also, if you launch a model you don't have, Ollama will download it for you

What costs arise beyond the free tier, if any?

No other costs

Ratings

Ease of use

Reliability

Value for money

Customization

Report

11 views2mo ago

•1 review

Recently I a long flight and having ollama (with llama2) locally really helped me prototype some quick changes to our product without having to rely on spotty plane wifi.

What's great

fast prototyping (1)local AI model deployment (10)no third-party API reliance (3)

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6 views2yr ago

used this to build

Sequoia Health 2.0

(334 points)

•11 reviews

We’re exploring Ollama to test and run LLMs locally—faster iteration, zero latency, total control. It’s like having our own AI lab, minus the GPU bills

What's great

fast performance (1)local AI model deployment (10)no third-party API reliance (3)AI server hosting (2)

Report

10 views7mo ago

Ollama

The easiest way to run large language models locally

The easiest way to run large language models locally

Have a question about Ollama? Ask it here and get a real answer.