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Ollama - AI Local Runtimes Tool

Overview

Ollama is a self-hosted deployment tool for running models such as Llama 3.3 and DeepSeek-R1 locally. It enables fast, on-premise AI inference without relying on cloud APIs.

Key Features

  • Self-hosted deployment for running models locally
  • Supports models such as Llama 3.3 and DeepSeek-R1
  • Enables fast local AI inference
  • Avoids reliance on cloud APIs and remote services
  • Distributed via GitHub repository: https://github.com/ollama/ollama

Ideal Use Cases

  • On-premise inference for privacy-sensitive applications
  • Offline model inference without internet-dependent APIs
  • Development and experimentation with local models
  • Deployments where cloud usage is restricted or undesired

Getting Started

  • Clone the repository from https://github.com/ollama/ollama
  • Read repository README and installation instructions
  • Install required dependencies on your local machine
  • Download or prepare a supported model (e.g., Llama 3.3)
  • Start the local inference server following the docs
  • Run sample inference to verify deployment

Pricing

No pricing information available; distribution and sources are provided via the GitHub repository.

Limitations

  • Requires suitable local hardware and ongoing operational maintenance
  • No managed cloud-hosted API; users must self-host and operate the service

Key Information

  • Category: Local Runtimes
  • Type: AI Local Runtimes Tool
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