Ollama
ActiveRun AI models locally — the open-source inference engine with 176K GitHub stars
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.
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
Pricing
Open Source- Run any compatible open-weight model on your own hardware
- No usage limits, no API keys, no data leaves your machine
- Daily quota for experimentation
- Same API surface as local runtime
- Full open-weight catalog
- Higher per-minute rate limits
- Run 10 cloud models at a time
- 5x more usage than Pro
No verdict changes yet
The clock starts day one — changes land here as our verdict evolves.
Sources
- Ollama — official websiteJul 2026
- Ollama — GitHub repositoryJul 2026
- TechCrunch — Ollama raises $65M Series B, grows to nearly 9M usersJul 2026
- Pooya Golchian — Ollama Cloud Pricing 2026Jul 2026
- Thunder Compute — What is Ollama: Run AI Models Locally (July 2026)Jul 2026
- Kunal Ganglani — Best Local LLMs in 2026: Models, Hardware & Setup GuideJul 2026
- DanubeData — Run Ollama on a VPS: Self-Host Local LLMs in Europe (2026)Jul 2026
Verification log
- Profile— No changes
Imported at launch
- Pricing— No changes
Imported at launch