Five minutes to operational
curl-pipe-bash to install. ollama pull llama3 for the first model. Works. No tuning, no manual GPU driver configuration.
Tools · Inference engine
Ollama
The "Postgres of LLMs". One binary, a model library, an OpenAI-compatible API endpoint. Installs in 5 minutes and you forget about it. Under the hood of almost every Private AI deployment.
The engine is invisible. It just runs.
In 30 seconds
Pull a model with one command. Use it via API.
Ollama is the open source runtime that runs LLMs on your hardware. It automatically handles quantization, GPU allocation, CPU swap. It exposes a REST endpoint identical to OpenAI's: any application written for ChatGPT works by pointing it at your infrastructure. For decision-makers it's the most strategic investment because the rest of the stack rides on it.
For the business
The four advantages that matter
OpenAI API compatible
REST endpoint with the same schema as api.openai.com. Change base_url in existing code and everything keeps working, on your hardware.
Broad model library
Llama (all sizes), Mistral, Qwen, Gemma, Phi, specialized models for code and multilingual. One command for each.
GPU autodetect, CPU fallback
Detects NVIDIA/AMD/Apple Silicon GPUs and optimizes. If none, falls back to CPU without crashing. No manual CUDA setup.
When it fits
Real use cases
- Backend for OpenWebUI, AnythingLLM, any AI application
- Local prototype development with no external service calls
- Batch inference for data extraction at volume
- Replacement for OpenAI/Claude API for sensitive use cases
When it does NOT fit
Honest limits
- Not optimized for extreme throughput: for hundreds of req/sec use vLLM
- Enterprise tooling (auth, advanced rate limit) basic: for more you need a proxy
- Unofficial models need license verification
Installation
Five minutes. One shell line.
Official installer for Linux, macOS, Windows. On a Linux server: curl-pipe-bash. On a workstation: native package. After install: ollama pull llama3 downloads the first model (~5GB). The API starts automatically on port 11434.
Want to figure out if Ollama makes sense for your organization?
The initial assessment clarifies use case, integration with the rest of the stack, investment. No generic presentations.