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, local AI inference without relying on external cloud APIs and is available from the project's GitHub repository.

Key Features

• Self-hosted model deployment
• Supports models such as Llama 3.3 and DeepSeek-R1
• Enables local AI inference without cloud APIs
• Designed for fast, low-latency inference on local machines
• Public repository hosted on GitHub (see project URL)

Ideal Use Cases

• Private on-premise inference where data must stay local
• Development and testing of large language model integrations
• Offline or edge deployments without cloud connectivity
• Prototyping with Llama 3.3 or DeepSeek-R1 locally
• Reduce dependence on third-party cloud inference APIs

Getting Started

• Clone the Ollama GitHub repository.
• Open the repository README and follow setup instructions.
• Install required dependencies on your local machine.
• Download or import a supported model (for example Llama 3.3).
• Start the local Ollama runtime to serve inference.
• Connect your application to the local inference endpoint.

Pricing

No pricing information is provided in the supplied project metadata; pricing or licensing details are not disclosed.

Limitations

• Requires sufficient local compute (CPU/GPU) to run large models.
• Self-hosting requires ongoing maintenance and model management.
• Model availability depends on locally provided or supported models.

Key Information

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