Ollama

What It Does

Ollama makes running large language models locally as simple as running a Docker container. It handles model downloading, quantization, memory management, and provides a simple API, enabling developers to use open models without cloud infrastructure.

Key Features

Ollama offers one-command model downloading and running, automatic GPU detection and offloading, quantized model support for consumer hardware, REST API compatible with many tools, Modelfile for custom configurations, and a growing library of pre-configured models.

When To Use It

Use Ollama for local development and testing with LLMs, when data privacy requires on-premises inference, for prototyping before deploying to production infrastructure, or when you want to experiment with different open models quickly.

Alternatives

vLLM provides higher throughput for production serving. llama.cpp offers more control over inference parameters. LM Studio provides a GUI alternative. For cloud deployment, managed services like Together AI or Fireworks handle infrastructure.