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Ollama

AI

Runs open-source language models locally with a simple setup, plus optional cloud access for larger models when local hardware isn't enough.

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181,808stars+2,163(+1.2%)

Last 30 days

  • Last commit


    1 day ago
  • Repository age


    3 years
  • Version


    v0.34.4
  • License


    MIT
  • Self-hosted


    Yes
  • Repository


    ollama/ollama
Self-host in 3 steps
  1. 1

    Start a KVM 2 VPS on Hostinger

    Recommended plan for one-click apps.

  2. 2

    Apply code

    10% off any 12-month plan at checkout.

  3. 3

    Deploy Ollama

    With Hostinger's one-click installer.

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Ollama lets you run large language models directly on your own hardware, without sending data to third-party APIs. It's built for developers, researchers, and anyone who wants the capabilities of modern AI models without giving up control over their data.

The core idea is local-first. Models run entirely on your machine, which means no usage fees per token, no data leaving your network, and full offline capability for sensitive or mission-critical work. When local hardware isn't enough, an optional cloud tier gives access to larger models running on datacenter-grade hardware.

Key capabilities:

  • Local model execution runs models on your own CPU or GPU, keeping all data on-device
  • Cloud scaling lets you access larger, faster models when local resources hit their limits, with servers in the US, Europe, and Singapore
  • App and agent support connects with tools like Open WebUI and coding assistants, so you can build workflows around open models
  • Parallel requests are supported in cloud mode, useful when running multiple agents or serving several users at once
  • Web access is available for cloud models, giving them real-time information retrieval
  • Data privacy guarantees mean your inputs are never used for training, on either local or cloud runs

Ollama fits naturally into setups where you want a local AI assistant or a self-hosted backend for agent-based tools. The free tier covers cloud model access at a basic level, with paid plans unlocking higher concurrency and usage limits for heavier workloads.

Share:

181,808stars+2,163(+1.2%)

Last 30 days

  • Last commit


    1 day ago
  • Repository age


    3 years
  • Version


    v0.34.4
  • License


    MIT
  • Self-hosted


    Yes
  • Repository


    ollama/ollama
Self-host in 3 steps
  1. 1

    Start a KVM 2 VPS on Hostinger

    Recommended plan for one-click apps.

  2. 2

    Apply code

    10% off any 12-month plan at checkout.

  3. 3

    Deploy Ollama

    With Hostinger's one-click installer.

Favicon of HostingerHost with Hostinger
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