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Run AI models locally — the open-source inference engine with 176K GitHub stars

Recommended

The default choice for local LLM inference — and for good reason. 176K GitHub stars, 9M+ users, MIT license, one-command setup. Runs on any hardware from Raspberry Pi 5 to dual H100s, with a model catalog spanning 4,500+ open-weight options. The OpenAI-compatible API with streaming, tool calling, structured outputs, and embeddings means no vendor lock-in — swap from Ollama to OpenAI (or vice versa) by changing one URL. Ollama Cloud (Pro $20/mo, Max $100/mo) extends the same surface to managed inference. The recent $65M raise confirms sustained investment. For any developer who wants to run AI locally — whether for privacy, cost control, or offline use — Ollama is where you start.

AI-Powered

Each inference request is a stateless REST API call — no carried AI context between requests

Is it right for you?

Good for

  • Local-first AI development — run 4,500+ models on your own hardware with zero API costs
  • Privacy-sensitive workloads — all inference stays on your infrastructure, never leaves the machine
  • Cost-controlled AI — fixed hardware cost replaces per-token billing; break-even at ~$200/mo API spend
  • Offline/air-gapped environments — no internet required after model pull
  • Developer toolchain integration — OpenAI-compatible API works with LangChain, LlamaIndex, Hermes Agent, Continue.dev

Not good for

  • Frontier model access — can only run open-weight models; no GPT-5.6, Claude, or Gemini via Ollama
  • Teams without GPU hardware — running 70B+ models on CPU is impractical (<1 tok/sec)
  • Zero-ops managed serving — Cloud plans exist but the local product requires hardware management

Our experience

We haven't tested Ollama ourselves. This profile is based on public documentation, user reviews, and community feedback.

Pricing

Open Source
Local (Free)Free
  • Run any compatible open-weight model on your own hardware
  • No usage limits, no API keys, no data leaves your machine
Cloud FreeFree
  • Daily quota for experimentation
  • Same API surface as local runtime
Pro$20/mo
  • Full open-weight catalog
  • Higher per-minute rate limits
Max$100/mo
  • Run 10 cloud models at a time
  • 5x more usage than Pro
View full pricing

No verdict changes yet

The clock starts day one — changes land here as our verdict evolves.

Verification log

  • Profile— No changes

    Imported at launch

  • Pricing— No changes

    Imported at launch

How we evaluate